Bitfreighter was founded in 2020 in Nashville, Tennessee, by Brad Perling, who spent 14 years in logistics roles before starting the company, along with a co-founder. It was built to offer a different pricing model for EDI integration, “unlimited messaging” instead of the transactional, per-message pricing common in the EDI space at the time.
Its core platform provides EDI and API integrations for freight quoting, load building, order updates and tracking, and invoicing. LiveQuote, its real-time truckload quoting API, lets brokers send shippers automated quotes tailored to each shipper’s requirements. In November 2025, Bitfreighter announced an integration with Turvo’s TMS. The company was an Inc. 5000 honoree in 2025, reports around 27 employees, and publicly available sources indicate it has grown without disclosed outside venture funding.
Side by Side
Bitfreighter
Tabi Connect
Founded
2020
2023
Origin
EDI integration platform, quoting added later
Built quoting-first from the start
Integration approach
EDI and API, many-to-one shipper network
Native API where available, RPA where it isn’t
Spot quoting
Yes, via LiveQuote
Yes, via QuickQuote and BulkQuote
RFP / bid season quoting
Not publicly detailed
Yes, via RFPQuote, same pricing logic as spot
Email channel
Not a publicized focus area
Yes, via EmailQuote
Chat-based quoting (Slack/Teams)
Not publicly offered
Yes, via ChatQuote
Private rate engine from own data
Not publicly detailed
Yes, via My Lane Rate
Human review before automation
Not publicly detailed
Yes, via Control Tower
AI pricing rules and AI-assisted insights
Not publicly detailed
Yes, plain English rules and natural language data queries
Funding
Bootstrapped, no disclosed outside funding
Privately held
Where a row says “not publicly detailed,” that means we did not find published information confirming the capability, not that Bitfreighter doesn’t offer it. Worth confirming directly with Bitfreighter.
Where This Actually Matters
Bitfreighter’s real advantage is on the integration side, unlimited EDI messaging and a large pre-built connection catalog make it a strong fit for brokers whose biggest pain point is shipper connectivity itself, especially shippers still running on EDI rather than modern APIs. LiveQuote extends that into real-time quoting, but the company’s public materials don’t detail RFP workflows, email channel automation, or a private historical rate engine, the kind of depth that comes from building a platform around the full quoting problem rather than adding a quoting feature to an integration business.
If EDI connectivity to a specific set of shippers is the primary blocker, Bitfreighter’s core strength addresses that directly. If the need is broader, covering every channel a request can arrive through and both spot and RFP volume on one pricing engine, that’s the problem Tabi Connect was built to solve. The full breakdown of what that coverage looks like is on the Tabi Connect platform overview.
Frequently Asked Questions
What does Bitfreighter do?
Bitfreighter is an EDI and API integration platform founded in 2020 in Nashville, Tennessee, by Brad Perling. Its core business is unlimited EDI messaging and shipper integrations, with a quoting product, LiveQuote, layered on top for real-time truckload quoting.
Is Bitfreighter the same as LiveQuote?
LiveQuote is Bitfreighter’s real-time quoting API product, one part of its broader EDI and API integration platform. Bitfreighter’s core business, and its original product, is EDI messaging and shipper connectivity.
Does Bitfreighter cover email quoting or RFP season?
Bitfreighter’s publicly available materials focus on EDI and API connections and its LiveQuote spot quoting product. We did not find published detail on email-based quoting automation or a dedicated RFP or bid season workflow, so it’s worth confirming directly with Bitfreighter.
Is Bitfreighter venture funded?
Publicly available sources indicate Bitfreighter has not raised outside venture funding and has grown as a bootstrapped company.
Every channel, both spot and RFP, your own rate data, and full visibility, purpose-built for freight quoting. Book a demo now to get a complete overview of the Tabi Connect platform.
A note before you read this. These five names come up often enough in freight quoting research that they’re worth addressing directly, and they’re not all solving the same problem the same way. Manifold and Hoptek are built primarily for carriers rather than brokers, but both compete with Tabi Connect for some of the same client base, which is why they’re included here rather than left off as a clean non-match.
Quick Comparison
Vendor
Category
Who It’s For
Known For
Tabi Connect
Full stack RMS
Freight brokers
Every channel and workflow, one pricing engine, AI-assisted rules and insights
Vooma
AI agents for quoting and order entry
Freight brokers and carriers
Venture backed (YC W23), email/TMS workflow depth
Manifold
Spot freight aggregation
Primarily carriers, competes for some brokerage business
Founded by ex-Convoy engineers, reduces empty miles
Beagl
Sales and RFP intelligence
Freight brokers
Rate seasonality analytics, carrier matching
S2Q (Speed to Quote)
Email quoting and RFP software
Brokers, 3PLs, carriers
DAT RateView certified integration
Hoptek
Fleet optimization
Primarily asset-based carriers, competes for some brokerage business
Freight Finder, reducing deadhead miles
Vooma
Vooma is a venture backed company founded in 2023 out of Y Combinator’s Winter 2023 batch by Jesse Buckingham, Nathan Matthews, and Mike Carter. It has raised approximately $17.1M, a $3.6M seed led by Index Ventures and a Series A led by Craft Ventures, with participation from logistics executives at Uber Freight, Ryder, and Project44 among its investors. Its products include Vooma Quote, which automates email quote responses and tracks outcomes, and Vooma Build, for order entry automation, along with more recently launched voice and multi-channel agent products. In January 2026, Vooma announced a partnership with SONAR to bring freight market intelligence into its email quoting product. Reported customers include Echo Global Logistics, Arrive Logistics, and MoLo/ArcBest.
Where it differs from Tabi: Vooma’s public depth is strongest in email and order-entry automation. We did not find published detail on RFP-specific bulk pricing, a private historical rate engine, or a native chat interface.
Manifold
Manifold Freight was founded in 2024 in Seattle by Andrew Huff and Oliver Jones, both former engineering leaders at Convoy. It has raised roughly $2.4M in seed funding from Y Combinator and New Stack Ventures. Its product aggregates spot freight opportunities from load boards, brokers, and shippers into a single platform, aimed at helping carriers reduce empty miles and find freight more efficiently.
Where it differs from Tabi: Manifold is built primarily for carriers finding freight rather than brokers automating quotes to shippers, though it does compete with Tabi Connect for some of the same brokerage business. It’s a narrower product, built around one side of the transaction rather than the full quoting workflow a rate management system covers.
Beagl
Beagl is a Seattle-based company founded by Eric Williams, who has a background in financial markets and freight brokerage. Its platform focuses on descriptive, prescriptive, and predictive analytics for freight sales, rate seasonality and lane-level risk data, a carrier matching recommender, and tools for matching inbound RFP lanes against a broker’s existing carrier network.
Where it differs from Tabi: Beagl is positioned around sales intelligence and RFP strategy, helping a team decide what to bid and who to use, rather than capturing requests and automatically submitting quotes the way an RMS does.
S2Q Systems (Speed to Quote)
S2Q Systems, founded in 2021 in Beachwood, Ohio, by Ben Derin, launched Speed to Quote as an email workflow automation product for freight brokers and expedite carriers. It has since expanded to include Speed to Bid, which aggregates third-party spot bidding platforms, an RFP Digitalization Module, and a Rate Collector module for live third-party carrier rate collection. Speed to Quote has a certified integration with DAT RateView.
Where it differs from Tabi: S2Q’s product line does span email, RFP, and rate collection, making it one of the more comparable names on this list. Public information doesn’t detail a private historical rate engine built from a broker’s own data, or chat-based quoting.
Hoptek
Hoptek builds AI-powered fleet optimization software, including Freight Finder, Load Acceptor, and Dispatch-Optimization, designed for asset-based carriers to find loads, reduce deadhead miles, and improve fleet utilization.
Where it differs from Tabi: Hoptek is built primarily for asset-based carriers, solving a load-finding and fleet-planning problem rather than a broker’s quoting workflow, but it does compete with Tabi Connect for some of the same client base. It’s included here for that reason, not just because the name comes up in freight tech research.
Frequently Asked Questions
What does Vooma do?
Vooma is a venture backed company founded in 2023 (Y Combinator Winter 2023) that builds AI agents for freight brokers and carriers, including Vooma Quote for email quoting automation and Vooma Build for order entry. It has raised approximately $17.1M from investors including Index Ventures and Craft Ventures.
Is Manifold a quoting automation company?
Not in the same sense as a broker-facing rate management system. Manifold Freight aggregates spot freight opportunities from load boards, brokers, and shippers into one platform, primarily for carriers looking to reduce empty miles. It does compete with Tabi Connect for some of the same brokerage clients, but the core product is built around a different problem than automating a broker’s quoting process to shippers.
What does Beagl do?
Beagl is a sales and RFP intelligence platform for freight brokers, offering rate seasonality analytics, lane-level risk data, and a carrier matching recommender. It’s positioned around winning and pricing RFPs with data rather than capturing and automatically submitting spot quotes.
What is S2Q Systems / Speed to Quote?
S2Q Systems, maker of Speed to Quote, is a freight pricing and RFP software company founded in 2021 that automates email-based spot quoting, RFP digitalization, and live carrier rate collection, with a certified DAT RateView integration.
Does Hoptek compete with Tabi Connect?
For some clients, yes. Hoptek builds AI-powered fleet optimization tools for asset-based carriers, helping them find loads and reduce deadhead miles, and its primary buyer, carriers rather than freight brokers, is different from Tabi’s. Where the two do compete is with clients evaluating both sides of the problem, though Hoptek doesn’t automate a broker’s quoting process to shippers the way an RMS does.
See How Tabi Connect Compares to Named Competitors
Tabi Connect covers email, shipper TMS platforms, and chat, both spot and RFP volume, on one pricing engine, connected to 70+ shipper platforms. Book a demo to see the full Tabi Connect experience.
What AVRL Is
AVRL, short for Advanced Voice Research Labs, was founded in 2017 in Austin, Texas, by Chadd Olesen and Nikolai Pereira. It started as a natural language processing company and pivoted in 2020 to focus on automating spot freight pricing for brokers. Its platform, Generation, uses decision trees, RPA, and chatbots to automate workflows across transportation and logistics, and the company describes its work more broadly as connecting disparate systems like TMS, WMS, and ERP platforms, not exclusively quoting.
AVRL has been recognized on the Inc. 5000 list in multiple years (2023, 2024, and 2025) and reports 51 to 200 employees. According to the company’s own public statements, AVRL works with more than half of the top 100 3PLs and has automated over 60 million shipments. We have not independently verified those figures.
Side by Side
AVRL
Tabi Connect
Founded
2017 (pivoted to freight pricing in 2020)
2023
Core architecture
RPA, decision trees, chatbots
Native API where available, RPA where it isn’t
Primary focus
Automation infrastructure across transportation and logistics broadly
Purpose-built for the freight quoting workflow specifically
Spot quoting
Yes, core use case since 2020
Yes, via QuickQuote and BulkQuote
RFP / bid season quoting
Not publicly detailed
Yes, via RFPQuote, same pricing logic as spot
Email channel
Not a publicized focus area
Yes, via EmailQuote
Chat-based quoting (Slack/Teams)
Not publicly offered
Yes, via ChatQuote
Private rate engine from own data
Not publicly detailed
Yes, via My Lane Rate
Human review before automation
Not publicly detailed
Yes, via Control Tower
AI pricing rules and AI-assisted insights
Not publicly detailed
Yes, plain English rules and natural language data queries
Configuration model
Decision trees and RPA, typically configured and maintained by development resources
No-code, plain English rule building, configurable directly by a pricing or ops lead
Reported customer base
Enterprise and large 3PL accounts
100+ customers including 30+ of the Top 100 3PLs
Where a row says “not publicly detailed,” that means we did not find published information confirming the capability, not that AVRL doesn’t offer it. Worth confirming directly with AVRL.
Where This Actually Matters
AVRL’s RPA and decision-tree foundation is genuinely broad, it’s built to automate more than just quoting, which is part of why it’s found traction connecting large 3PLs’ disparate systems. The tradeoff of that breadth is depth in any one workflow. Its public materials don’t detail RFP-specific tooling, a private historical rate engine, or a graduated path from manual review to full automation, the kind of quoting-specific depth that comes from building a platform around one workflow rather than automation infrastructure in general.
The other cost is ongoing, not just upfront. Decision trees and RPA typically need development resources to build and maintain, since there isn’t a true no-code or low-code interface for the team actually pricing freight to use directly. That raises the total cost of ownership beyond the subscription price, and it means a change to pricing logic runs through whoever built the automation rather than whoever’s setting the rate, which affects the ROI math more than the sticker price suggests.
If what you need is broad automation across multiple systems and you have the technical resources to configure decision trees for your specific processes, AVRL’s approach may fit. If what you need is a platform built specifically to cover every channel and workflow in freight quoting, with pricing logic, your own data, and visibility built in from the start, that’s the problem Tabi Connect was built to solve. The full breakdown of what that coverage looks like is on the Tabi Connect platform overview.
Frequently Asked Questions
What does AVRL do?
AVRL, short for Advanced Voice Research Labs, is an Austin-based automation company founded in 2017. It builds RPA and decision-tree based automation for transportation and logistics companies, including chatbots, workflow automation, and systems integration, and has focused on spot freight pricing automation since 2020.
Is AVRL only for large brokerages?
AVRL’s public case studies and reported customer base skew toward enterprise and large 3PL accounts. That doesn’t mean smaller brokerages can’t use it, but its go-to-market has been most visible at the top end of the market.
Does AVRL support RFP or bid season quoting?
AVRL’s publicly available materials focus on spot pricing automation, RPA-based integrations, and decision-tree logic. We did not find published detail on a dedicated RFP or bulk lane file quoting workflow, so this is worth confirming directly with AVRL if it matters for your evaluation.
What’s the main architectural difference between Tabi Connect and AVRL?
AVRL is built primarily around RPA and decision-tree automation. Tabi Connect uses native API integrations wherever available and RPA where it isn’t, and covers channel capture, pricing logic, RFP and spot workflows, a private rate engine, and analytics as one connected platform rather than a single automation layer.
Does AVRL require development resources to use?
AVRL’s platform is built on decision trees and RPA, which typically require development work to configure and maintain rather than a no-code interface a pricing or operations lead could use directly. That adds to the total cost of ownership beyond the subscription price and is worth factoring into an ROI comparison, alongside the subscription cost itself.
Every channel, both spot and RFP, your own rate data, and full visibility, purpose-built for freight quoting. Book a demo to see the Tabi Connect platform in action.
Most freight quoting software picks a lane: it automates one channel, or one workflow, or gives you rate data without doing anything with it. Tabi Connect was built to cover the full problem, and in 2026 that platform got substantially more complete. This page walks through what’s actually in the platform today, product by product, with the new capabilities that shipped this year included.
Where Tabi Fits in the Market
Why “Complete” Is the Differentiator in 2026
The freight quoting software market has largely split into narrow categories. Some platforms automate a single channel well, usually email or one shipper TMS, and stop there. Others are built around RPA to cover shipper portals but don’t go deeper into pricing logic or workflow coverage. A number of well funded, venture backed entrants have built visibility and buzz faster than they’ve published technical depth on integrations or pricing methodology. And a large share of what gets searched under “quoting software” is actually rate intelligence, market data with no request capture or automation attached to it at all.
Tabi Connect was built to cover all of those lanes at once. Channel capture across email, TMS, and chat, both spot and RFP workflows, configurable pricing logic deep enough to match how brokers actually negotiate, a private pricing engine built from a brokerage’s own data, and full visibility into performance, all on one platform, is what “most complete” actually means in this category.
Channels & Workflows
Every Channel, Every Workflow, One Pricing Engine
Quote requests do not arrive through one channel, and they are not all the same kind of request. Tabi Connect covers the full spread on a single pricing engine, so a broker is not reconciling different logic across different tools.
EmailQuote Reads a quote request directly from an inbox (Outlook, Gmail, or Front), extracts shipment details automatically, generates a quote using configured rate engines, and sends the response, all without leaving the email thread.
TMSQuote and ShipperQuote Integrates into a shipper’s own TMS or portal, with or without RPA, and gives shippers a whitelabeled portal to pull rates on demand.
QuickQuote and BulkQuote An internal rate lookup for single spot opportunities, and the same logic applied to a batch of spot opportunities at once.
RFPQuote Applies the same pricing logic used for spot quoting across a full RFP or bid season lane file, instead of pricing hundreds of lanes by hand.
ChatQuote Brings quoting into Slack and Microsoft Teams using natural language. A rep can ask for a quote, pull historical rate data, or review quote details without switching tabs, running on the same Tabi Connect account and permissions already configured.
EXAMPLE REQUEST, INSIDE SLACK OR MICROSOFT TEAMS “Tabi Quote Miami, FL to Dallas TX, Van picking up today” Miami, FL → Dallas, TX Final Rate: $919.97
Pricing Sophistication
Pricing Logic That Matches How Brokers Actually Negotiate
Basic margin rules cover the simple cases. Real freight pricing has exceptions, stop-based adjustments, and rules that need to be evaluated in a specific order. Tabi’s Pricing Rules engine, expanded in 2026, covers the cases that basic rule builders don’t.
Priority Panel Defines the order pricing rules are evaluated in, with the full rule hierarchy visible in one place, so multiple matching rules don’t produce an unexpected result.
Fixed Final Rate Override Prices the way brokers actually negotiate: a flat rate regardless of mileage, a rate per direct mile, or a rate per mile that accounts for stop detours.
Stops Parameter Builds pricing rules around the number of extra stops in a shipment, combinable with other conditions for more precise logic.
My Lane Rate Report Count as a Rule Condition Uses the volume of historical data behind a lane as a pricing rule condition itself, automatically flagging, rejecting, or adjusting a quote when the available data is thin.
KMA Support References Key Market Areas directly in pricing rules and automatically expands a KMA to every zip code inside it, instead of requiring zip codes to be entered one by one.
AI Across the Platform
AI Built Into How the Platform Works, Not Bolted On
Configuring pricing logic, querying performance data, and catching a shift in win rate before it costs a quarter of margin all take time most teams don’t have. Tabi Connect uses AI in three specific places to take that time back.
AI Pricing Rules Write a pricing rule in plain English and Tabi Connect turns it into a live rule in the Priority Panel, no query language or rule-builder syntax required. A team can update pricing logic the same day the market moves instead of waiting on whoever normally builds the rules.
Talk to Your Data Ask Tabi Insights a direct question, what’s our win rate on refrigerated freight out of Chicago this month, and get an answer back in plain language instead of building a report first.
Pattern Recognition and Next Best Action Tabi surfaces patterns in quoting behavior and performance on its own, a lane’s win rate slipping, a customer’s request volume dropping, a channel running slower than usual, and recommends what to do about it before a team would otherwise notice.
Your Own Data
A Private Pricing Engine Built From Your Own Rate History
Market benchmarks are useful, but they don’t reflect a specific brokerage’s own negotiated rates and shipment history. My Lane Rate turns that historical data, sitting unused in a TMS, into a private, queryable rate engine.
A broker uploads historical shipment and awarded rate data as a CSV or Excel file. Tabi normalizes and deduplicates it twice a day, at 3am and 3pm, and any TMS can query a lane by zip code, city and state, or Key Market Area and get an Average, Low, and High back in under 20 milliseconds. That result is a baseline. A broker’s markup and other pricing parameters still apply on top before it becomes a final quote.
<20ms
2x
3
100%
API Response
Daily Refresh
Query Modes
Siloed Data
Every rate comes with a confidence tier, so a broker knows exactly how much history is behind the number before quoting off it.
Confidence Tier
Records Required
Default Action
High
25+ records
Rate served, no markup
Good
10 to 24 records
Rate served, no markup
Medium
5 to 9 records
Rate served with alert
Low
2 to 4 records
Rate served with surcharge
Very Low
1 record
Quote blocked or flagged
Every dataset is fully siloed. No cross-customer sharing, no aggregation, no visibility to anyone outside a brokerage’s own organization.
Building Trust in Automation
A Path to Automation, Not an All-or-Nothing Switch
The most common hesitation about automated quoting is straightforward: what if a rate isn’t right and the team doesn’t catch it before it goes out. Control Tower exists for exactly that. It gives a team a centralized queue to review every automated rate before it posts, so trust in the pricing logic builds gradually instead of being assumed on day one.
1. A freight quote request comes in Routes automatically from every connected platform into the Control Tower queue.
2. Review the opportunity Shipment details, rate breakdown, margin, and platform source are visible at a glance.
3. Accept, modify, or decline Adjust rates in real time, bulk-accept, or remove opportunities from the queue.
4. Graduate to full automation Once trust is built, remove the review layer and let Tabi post rates automatically.
Platform coverage under Control Tower has been expanding through 2026: 8 API-integrated shipper platforms went live in July, including E2Open Spot, Uber Freight, Emerge, Transporeon, Home Depot, Trucker Tools, OTM Spot Now, and BlueYonder, with additional RPA connections rolling out through November. Brokers already running full automation can turn on Control Tower without changing their existing setup. It adds visibility without altering how automation runs today.
Visibility
Performance Data That Doesn’t Require Pulling a Report
Quoting generates a lot of data, quote requests, wins, losses, exceptions, margin by lane, that typically lives scattered across separate reports until someone manually pulls it together. Tabi Insights organizes, visualizes, and interprets that data so a team can see performance trends without building a report first.
It brings together quote requests, quoted and awarded shipments, missed opportunities, win rate, revenue, margin against target, exceptions, and performance broken down by customer, shipper, lane, equipment, and platform, all in one view.
Pricing and revenue teams use it to track performance at a glance, account managers use it to speak to a customer’s activity instantly, and operations leadership uses it to spot exceptions and lane shifts before they become bigger problems.
The Full Picture
Everything on One Platform
Capability
What It Does
EmailQuote
Quotes directly from an email inbox
TMSQuote / ShipperQuote
Integrates into shipper TMS platforms and portals
QuickQuote / BulkQuote
Internal spot rate lookup, single or in bulk
RFPQuote
Prices full RFP and bid season lane files
ChatQuote
Quoting and rate history inside Slack and Microsoft Teams
Pricing Rules / AI Pricing Rules
Configurable pricing logic, including rules written in plain English
My Lane Rate
Private pricing engine built from a broker’s own historical data
Control Tower
Human review queue for building trust in automation
Tabi Insights
Visual performance layer across the full quoting funnel, with natural language queries and AI-flagged patterns
Frequently Asked Questions
What makes Tabi Connect different from other freight quoting software?
Most freight quoting software covers a single channel, a single workflow, or is a rate data source with no automation attached to it. Tabi Connect covers channel capture across email, shipper TMS platforms, and chat, both spot and RFP workflows, configurable pricing logic, a private pricing engine built from a broker’s own data, and full visibility, all on one platform.
Does Tabi Connect support quoting inside Slack or Microsoft Teams?
Yes. ChatQuote brings quoting, historical rate data, and quote details directly into Slack and Microsoft Teams using natural language requests, running on the same Tabi Connect account and permissions a team already has configured.
Can Tabi Connect price using our own historical rates instead of market benchmarks?
Yes. My Lane Rate builds a private pricing engine from a brokerage’s own historical shipment and awarded rate data, refreshed twice daily, queryable by zip code, city and state, or Key Market Area in under 20 milliseconds. Each rate comes with a confidence tier based on how many historical records support it.
How does Tabi Connect help teams that aren’t ready for full automation?
Control Tower gives teams a centralized queue to review, modify, accept, or decline every automated rate before it posts, so a brokerage can build confidence in Tabi’s pricing before removing the review layer and moving to full automation.
What visibility does Tabi Connect provide into quoting performance?
Tabi Insights brings quote requests, win rate, margin, exceptions, and customer and lane level activity into one visual layer, so teams can see performance trends without pulling a manual report.
Is Tabi Connect only for spot quoting?
No. Tabi Connect runs spot quoting through QuickQuote and BulkQuote and RFP or bid season quoting through RFPQuote, all on the same pricing logic, so brokers are not managing separate tools for each type of volume.
Does Tabi Connect use AI, or is it just automation?
Both. Automation covers channel capture and quote generation. AI is used specifically for three things: building pricing rules from plain English instead of rule-builder syntax, answering direct questions about quoting data without building a report first, and surfacing patterns in quoting behavior and performance with a recommended next action.
See the Full Platform in Action
Every channel, every workflow, your own rate data, and full visibility, all on one platform. Tabi Connect.
Spot Freight Market Report, June 2026: Tabi Pricing Pressure Index | Tabi ConnectSkip to content
Spot Market Intelligence · Monthly
Spot Freight Market Report, June 2026: the Tabi Pricing Pressure Index
Spot market intelligence that shows you where demand is heading before it reaches the load boards, so you know when to hold your rate and when to compete.
Published August 2026 · Based on spot freight quoting activity across the Tabi Connect network · Contract freight not included
Executive summary
Three numbers define June: the index held broker favored without a clear direction, awarded margin eased back, and quote volume pulled back after a strong run.
TPPI SCORE
32
Broker favored
AWARDED MARGIN
−1.0 pts
21.2% → 20.2% (4 week avg)
QUOTE VOLUME TREND
Down
−11.9% vs. prior 4 week avg
INSIGHTS
Awarded margin fell 1.0 points month over month, from 21.2% to 20.2%, with gains accelerating week over week.
At 20.2%, awarded margin is 5.7 points above the historical average of 14.5%. Brokers are keeping more on each load than they normally do.
Average haul length held steady at roughly 662 miles, so there was no meaningful shift in lane mix behind the margin move.
The TPPI stands at 32, firmly in broker favored territory. The 4 week average of 31 is in line with the 8 week average of 29, so leverage is holding steady rather than shifting decisively, and the latest week eased 5 points. Brokers retain pricing power on the spot side, with limited near term room for shippers to compress it.
Three things drove the period. Awarded margin compressed from 21.2% to 20.2%, the quote to market spread widened from 19.6% to 20.2%, and quote volume fell 11.9%. All three are 4 week rolling averages and line up with the figures above.
TPPI trend
Composite index from 0 to 100, weekly readings from January 2025 to present. When the index rises, the market is moving shipper favored. When it falls, brokers recover pricing power.
Tabi Pricing Pressure Index, weekly readings. Source: Tabi Connect spot freight quoting data, January 2025 to June 2026.
INSIGHTS
TPPI sits at 32, firmly in broker favored territory. The reading moved down 5 points week over week.
The 4 week average of 31 is in line with the 8 week average of 29, so there is no directional trend.
Quote to market spread
How far above or below the market benchmark brokers are quoting, as a percentage of the market rate. Based on every submitted quote regardless of whether it won the load, so it reflects how confident brokers are when they price.
+20.2%above market · 4 week avg▲ 0.5 ppts MoM
Quote to market spread, 4 week rolling average. Source: Tabi Connect spot freight quoting data, January 2025 to June 2026.
INSIGHTS
Brokers are quoting 20.2% above market on the 4 week average, with last week rebounding to 25.3%.
The spread widened by 0.5 percentage points month over month, moving from 19.6% to 20.2%. Brokers spent much of June protecting margin in a market that kept moving on them, and the wider spread is where that shows up.
Shipper size segmentation
Spot market shippers are grouped into three tiers by average weekly quote volume. Tier assignment uses each shipper's all time spot activity, while every metric shown reflects the most recent 4 weeks.
Regular
10 to 100 quotes per week on avg
Shippers
343
Quote volume
6.6%
Win rate
4.50%
Awarded margin
18.2%
Avg quoted price
$2,835
Avg market rate
$2,445
Spread vs. market
+15.9%
High Frequency
100 to 1,000 quotes per week on avg
Shippers
308
Quote volume
39.1%
Win rate
2.82%
Awarded margin
21.2%
Avg quoted price
$2,849
Avg market rate
$2,384
Spread vs. market
+19.5%
Enterprise
More than 1,000 quotes per week on avg
Shippers
43
Quote volume
54.3%
Win rate
0.37%
Awarded margin
17.2%
Avg quoted price
$2,697
Avg market rate
$2,217
Spread vs. market
+21.6%
Awarded margin by shipper size
Weighted average margin on won loads, by tier.
Regular
18.2%
High Frequency
21.2%
Enterprise
17.2%
INSIGHTS
Enterprise shippers deliver 1.0 points lower awarded margin than Regular shippers. High volume accounts leverage scale to drive harder pricing.
Enterprise shippers win at a rate 4.14 points lower than Regular shippers, 0.37% against 4.50%. They spread each shipment across more brokers, so no single broker captures much of the award even when the freight is moving.
Awarded volume trend
Month over month change in the share of quotes that convert to awarded freight. A positive month means shippers converted a larger share of quote requests into awarded loads than the month before.
JUN 2026 VS MAY 2026
−10.2%month over month change in the awarded share of quotes
-10.4%Jan
+18.3%Feb
+13.9%Mar
-18.6%Apr
+47.5%May
-10.2%Jun
Month
MoM change
Jun 2026 Current
−10.2%
May 2026
+47.5%
Apr 2026
−18.6%
Mar 2026
+13.9%
Feb 2026
+18.3%
Jan 2026
−10.4%
Awarded rate (win rate) cohorts
Shippers grouped by win rate, meaning awarded spot quotes divided by total spot quotes. Shows how awarded margin and market spread change as shippers get more or less selective about what they award.
Win rate bucket
Awarded margin
Market spread
Total quotes
Under 1%
20.3%
+25.0%
35.1%
1 to 2%
16.5%
+16.6%
13.4%
2 to 4%
17.2%
+24.1%
16.0%
Over 4%
19.1%
+19.0%
35.6%
INSIGHTS
Shippers awarding more than 4% of quotes generate 1.2 points less awarded margin than those awarding under 1%, at 19.1% against 20.3%.
The best awarded margin shows up in the Under 1% win rate cohort at 20.3%. This is the range where brokers win enough freight to make it worth the effort while still holding pricing power, and it is the clearest sweet spot in the data.
Market spread does not track selectivity cleanly either. It is widest in the Under 1% cohort at 25.0%, where brokers quote high on freight that rarely converts, and tightest in the 1 to 2% cohort at 16.6%. Spread on its own is a weak predictor of how a shipper awards.
Equipment type breakdown
Spot market metrics broken out by trailer and equipment type, covering effectively all spot quote volume.
Equipment type
Total quotes
Win rate
Awarded margin
Market spread
Volume share
Van
64.8%
1.75%
19.6%
+21.1%
64.8%
Reefer
31.9%
0.60%
15.2%
+24.7%
31.9%
Flatbed
3.4%
2.20%
17.1%
+27.0%
3.4%
INSIGHTS
Van carries 64.8% of spot quote volume at a 1.75% win rate and 19.6% awarded margin. It sets the baseline for the whole market.
Van holds the highest awarded margin at 19.6%, while reefer is the tightest at 15.2%. The 4.4 point gap between them comes down to how capacity behaves in each segment.
Flatbed quotes run 27.0% above market against van at 21.1%, so brokers price flatbed with more headroom. Thinner, more specialized capacity gives them room to do it.
Point changes in this report are calculated from unrounded values, so they may differ by 0.1 from the difference of the rounded percentages shown.
Frequently asked questions
What is the Tabi Pricing Pressure Index (TPPI)?
The TPPI is a composite index from 0 to 100 that tracks weekly pricing pressure in the spot freight market using spot freight quoting activity. A rising index means the market is moving shipper favored, so shippers gain leverage and brokers have to quote more competitively. A falling index means the market is moving broker favored, so brokers recover pricing power and awarded margin tends to improve. Contract freight is not included.
What does a broker favored spot market mean for freight brokers?
A broker favored market means brokers hold more pricing power on spot freight. Brokers can generally quote with less discounting and still win freight, which supports awarded margin. It also tends to coincide with a narrower quote to market spread, since brokers do not need to price as far above the market benchmark to stay competitive.
How is awarded margin measured in this report?
Awarded margin is measured against broker baseline pricing rather than spot truck rates, and is reported as a 4 week rolling average unless noted otherwise. It reflects the margin brokers keep on the loads they actually win.
How often does Tabi Connect publish spot market intelligence?
Tabi Connect publishes the Spot Market Intelligence report monthly, drawing on spot freight quoting activity across its broker network from the prior month.
Price this market at the speed it moves
When quote to market spread and awarded margin move together, the brokers who reprice fastest keep the most freight. Tabi's API returns freight quotes in about 3 seconds, and RPA based rates return in under 50 seconds, so your desk is never quoting on last week's market.
Want this data in your TMS? Tabi Connect integrates with 70+ shipper platforms and bid boards, including CargoChief, Transfix, e2open, BluJay/E2open, MercuryGate, Truckstop, DAT, and FreightWaves SONAR.
Spot Freight Market Report, July 2026: Tabi Pricing Pressure Index | Tabi ConnectSkip to content
Spot Market Intelligence · Monthly
Spot Freight Market Report, July 2026: the Tabi Pricing Pressure Index
Spot market intelligence that shows you where demand is heading before it reaches the load boards, so you know when to hold your rate and when to compete.
Published August 2026 · Based on spot freight quoting activity across the Tabi Connect network · Contract freight not included
Executive summary
Three numbers define July: the index moved deeper into broker favored territory, awarded margin gave some of that back, and quote volume kept climbing.
TPPI SCORE
36
Broker favored
AWARDED MARGIN
−4.5 pts
21.4% → 16.9% (4 week avg)
QUOTE VOLUME TREND
Uptrend
+15.2% vs. prior 4 week avg
INSIGHTS
Awarded margin fell 4.5 points month over month, from 21.4% to 16.9%, though the pace of decline slowed week over week.
At 16.9%, awarded margin still sits 2.2 points above the historical average of 14.7%. Brokers are keeping more on each load than they normally do.
Quote volume is up 15.2% versus the prior 4 week average. More freight is being shopped to spot, consistent with rising shipper demand or an increase in contract tender rejections.
Volume is growing while awarded margin compresses. Brokers are capturing more freight by pricing tighter.
Average haul length held steady at roughly 674 miles, so there was no meaningful shift in lane mix behind the margin move.
The TPPI stands at 36, firmly in broker favored territory. The 4 week average of 26 is running below the 8 week average of 29, a gradual shift toward brokers, and the latest week alone picked up 10 points. Market pricing is becoming more predictable.
Three things drove the period. Awarded margin compressed from 21.4% to 16.9%, the quote to market spread narrowed from 22.6% to 18.8%, and quote volume rose 15.2%. All three are 4 week rolling averages and line up with the figures above.
A note on interpretation: awarded margin is measured against broker baseline pricing, not spot truck rates. When both awarded margin and quote to market spread compress together, brokers are pricing closer to market to remain competitive, a sign the market is shifting broker favored with shippers holding less leverage on the spot side.
TPPI trend
Composite index from 0 to 100, weekly readings from January 2025 to present. When the index rises, the market is moving shipper favored. When it falls, brokers recover pricing power.
Tabi Pricing Pressure Index, weekly readings. Source: Tabi Connect spot freight quoting data, January 2025 to July 2026.
INSIGHTS
TPPI sits at 36, firmly in broker favored territory. The reading moved up 10 points week over week.
The 4 week average of 26 is running below the 8 week average of 29, confirming a sustained broker favored trend.
Quote to market spread
How far above or below the market benchmark brokers are quoting, as a percentage of the market rate. Based on every submitted quote regardless of whether it won the load, so it reflects how confident brokers are when they price.
+18.8%above market · 4 week avg▼ 3.9 ppts MoM
Quote to market spread, 4 week rolling average. Source: Tabi Connect spot freight quoting data, January 2025 to July 2026.
INSIGHTS
Brokers are quoting 18.8% above market on the 4 week average, with last week easing back to 15.7%. The pullback likely reflects increased rate confidence and quoting competition as capacity became more predictable than it was for the majority of a volatile July.
The spread narrowed by 3.9 percentage points month over month, moving from 22.6% to 18.8%. Brokers are pulling quotes closer to market, which reflects less confidence in premium pricing.
Shipper size segmentation
Spot market shippers are grouped into three tiers by average weekly quote volume. Tier assignment uses each shipper's all time spot activity, while every metric shown reflects the most recent 4 weeks.
Regular
10 to 100 quotes per week on avg
Shippers
344
Quote volume
6.8%
Win rate
4.43%
Awarded margin
17.4%
Avg quoted price
$2,771
Avg market rate
$2,435
Spread vs. market
+13.8%
High Frequency
100 to 1,000 quotes per week on avg
Shippers
328
Quote volume
37.7%
Win rate
2.86%
Awarded margin
16.9%
Avg quoted price
$2,790
Avg market rate
$2,396
Spread vs. market
+16.5%
Enterprise
More than 1,000 quotes per week on avg
Shippers
47
Quote volume
55.5%
Win rate
0.22%
Awarded margin
16.2%
Avg quoted price
$2,783
Avg market rate
$2,291
Spread vs. market
+21.5%
Awarded margin by shipper size
Weighted average margin on won loads, by tier.
Regular
17.4%
High Frequency
16.9%
Enterprise
16.2%
INSIGHTS
Awarded margin barely moves across the three tiers, holding between 16.2% and 17.4%. A shipper's size does very little to change how much a broker keeps per load. Size moves win rate far more than it moves margin.
Enterprise shippers win at a rate 4.21 points lower than Regular shippers, 0.22% against 4.43%. They spread each shipment across more brokers, so no single broker captures much of the award even when the freight is moving.
Awarded volume trend
Month over month change in the share of quotes that convert to awarded freight. A positive month means shippers converted a larger share of quote requests into awarded loads than the month before.
JUL 2026 VS JUN 2026
−3.7%month over month change in the awarded share of quotes
-10.4%Jan
+18.4%Feb
+14.2%Mar
-18.7%Apr
+46.8%May
+1.3%Jun
-3.7%Jul
Month
MoM change
Jul 2026 Current
−3.7%
Jun 2026
+1.3%
May 2026
+46.8%
Apr 2026
−18.7%
Mar 2026
+14.2%
Feb 2026
+18.4%
Jan 2026
−10.4%
Awarded rate (win rate) cohorts
Shippers grouped by win rate, meaning awarded spot quotes divided by total spot quotes. Shows how awarded margin and market spread change as shippers get more or less selective about what they award.
Win rate bucket
Awarded margin
Market spread
Total quotes
Under 1%
17.3%
+21.5%
35.4%
1 to 2%
13.9%
+15.1%
11.9%
2 to 4%
16.7%
+20.0%
14.1%
Over 4%
14.2%
+11.7%
38.6%
INSIGHTS
Shippers awarding more than 4% of quotes generate 3.1 points less awarded margin than those awarding under 1%, at 14.2% against 17.3%.
The best awarded margin shows up in the Under 1% win rate cohort at 17.3%. This is the range where brokers win enough freight to make it worth the effort while still holding pricing power, the clearest sweet spot in the data.
Market spread does not track selectivity cleanly either. It is widest in the Under 1% cohort at 21.5%, where brokers quote high on freight that rarely converts, and tightest in the Over 4% cohort at 11.7%. Spread on its own is a weak predictor of how a shipper awards.
Equipment type breakdown
Spot market metrics broken out by trailer and equipment type, covering effectively all spot quote volume.
Equipment type
Total quotes
Win rate
Awarded margin
Market spread
Volume share
Van
63.0%
1.97%
14.5%
+16.9%
63.0%
Reefer
33.4%
0.60%
14.7%
+20.9%
33.4%
Flatbed
3.5%
2.28%
13.3%
+23.3%
3.5%
INSIGHTS
Van carries 63.0% of spot quote volume at a 1.97% win rate and 14.5% awarded margin. It sets the baseline for the whole market.
Reefer holds the highest awarded margin at 14.7%, while flatbed is the tightest at 13.3%. The 1.3 point gap between them comes down to how capacity behaves in each segment.
Flatbed quotes run 23.3% above market against van at 16.9%, so brokers price flatbed with more headroom. Thinner, more specialized capacity gives them room to do it.
Point changes in this report are calculated from unrounded values, so they may differ by 0.1 from the difference of the rounded percentages shown.
Frequently asked questions
What is the Tabi Pricing Pressure Index (TPPI)?
The TPPI is a composite index from 0 to 100 that tracks weekly pricing pressure in the spot freight market using spot freight quoting activity. A rising index means the market is moving shipper favored, so shippers gain leverage and brokers have to quote more competitively. A falling index means the market is moving broker favored, so brokers recover pricing power and awarded margin tends to improve. Contract freight is not included.
What does a broker favored spot market mean for freight brokers?
A broker favored market means brokers hold more pricing power on spot freight. Brokers can generally quote with less discounting and still win freight, which supports awarded margin. It also tends to coincide with a narrower quote to market spread, since brokers do not need to price as far above the market benchmark to stay competitive.
How is awarded margin measured in this report?
Awarded margin is measured against broker baseline pricing rather than spot truck rates, and is reported as a 4 week rolling average unless noted otherwise. It reflects the margin brokers keep on the loads they actually win.
How often does Tabi Connect publish spot market intelligence?
Tabi Connect publishes the Spot Market Intelligence report monthly, drawing on spot freight quoting activity across its broker network from the prior month.
Price this market at the speed it moves
When quote to market spread and awarded margin move together, the brokers who reprice fastest keep the most freight. Tabi's API returns freight quotes in about 3 seconds, and RPA based rates return in under 50 seconds, so your desk is never quoting on last week's market.
Want this data in your TMS? Tabi Connect integrates with 70+ shipper platforms and bid boards, including CargoChief, Transfix, e2open, BluJay/E2open, MercuryGate, Truckstop, DAT, and FreightWaves SONAR.
Every competitor solves one piece of the quoting problem: Tabi solves it all from spot quotes, TMS portals, contract bids, RFPs, and email in a single platform, in seconds.
Freight brokers receive hundreds of rate requests every day. Most teams are still pricing manually pulling from multiple rate sources, blending market data with tribal knowledge, and hoping the response goes out before a competitor beats them to it. The spot market does not wait. Shippers do not wait. And the brokerages that cannot keep up are leaving freight on the table every single day.
Tabi Connect automates the entire quoting workflow, embedding directly into the channels brokers already use, applying intelligent pricing rules, and responding in seconds rather than minutes. The result is faster quotes, more wins, better margins, and a pricing intelligence layer that grows stronger as your data accumulates.
93% 3-Year CAGR
$0 Outside Capital Raised
Tabi Connect vs. the Competition
The quoting gap is where freight is won or lost. Here is what separates Tabi from every alternative.
CAPABILITY
TABI CONNECT
COMPETITOR A
COMPETITOR B
Full-Stack RMS
Connectivity Tool
Email AI Tool
Complete Rate Management System
✓ YES
✕ NO
✕ NO
Quoting across all 5 channels; API Integrations, Shipper TMS platforms, email, portals and bidboards
✓ YES
✕ NO
✕ NO
Native email quote automation
✓ YES
✕ NO
✓ YES
Shipper TMS portal quoting
✓ YES
✓ YES
✕ NO
RFP / contract bid management
✓ YES
✕ NO
✕ NO
Margin protection parameters
✓ YES
✕ NO
✕ NO
70+ TMS integrations
✓ YES
20+
✕ NO
Wallet share / missed revenue analytics
✓ YES
✕ NO
✕ NO
Pricing intelligence & market indices
✓ YES
✕ NO
✕ NO
Spot-to-contract lane conversion
✓ YES
✕ NO
✕ NO
Built exclusively for freight brokers
✓ YES
✕ NO
✕ NO
5 Reasons the Top Freight Brokerages Choose Tabi Connect
01.The Only Tool That Covers All Five Quoting Channels.
Spot bids. Shipper TMS portals. Contract RFPs. Bid boards. Email. Most brokerages manage all five with no single system of record. Tabi is the only platform that automates the entire workflow across every channel so your team stops losing loads in the gaps between tools.
02.AI-Powered Pricing Rules in Plain English No Code Required.
Tabi’s AI Dynamic Business Rules engine lets you encode your best quoting agent’s knowledge into rules that apply consistently across the team, every quote, every channel in plain English, with no developer needed. When she goes on vacation, your win rate does not drop.
03. Quote in 2 Seconds. Win the Loads You Should Be Winning.
The largest brokerages in the country automate 100% of email quotes in under 30 seconds. Tabi delivers final rates in 2 seconds. The gap between brokers who respond in seconds versus minutes is already showing up in win rates. Some brokers respond to only 8% of available quotes missing tens of millions in potential revenue. Tabi closes that gap.
04. See Exactly What Freight You Are Missing and Win It Back.
Tabi’s Wallet Share analytics show you how much eligible freight you are not quoting, broken down by customer, lane, and channel. Most brokers are blind to their own missed opportunity. Tabi makes it visible and gives you the tools to act on it before a faster competitor does.
05. Built by Freight Industry Veterans. Proven at Scale.
Tabi’s co-founder co-created DAT RateView, the most widely used rate benchmarking tool in the freight brokerage industry. The team that built the standard built what comes next. Tabi has grown from $620K to $4.5M ARR entirely through customer revenue, with zero outside capital raised. Every feature earned its keep with paying customers.
What Freight Brokerages Say After Switching
“Tabi has transformed quoting from a time-consuming, reactive task into a proactive, strategic growth lever. The biggest value has been our ability to quote with speed, precision, and confidence, leading to higher wins and stronger margins.”
— Customer, AJC Freight Solutions
“The biggest value Tabi Connect has brought is automation that lets us do more with the same resources, freeing our team to focus on other high-impact areas of the business.”
— Customer, Direct Connect Logistix
“One Tabi customer — a $4B+ freight brokerage — attributed $100M in new revenue in year one. They also used Tabi data to convert spot lanes into contract lanes, moving from transactional vendor to strategic advisor.”
— Case Study Result, Fortune 100 Freight Brokerage
If your freight brokerage is evaluating a rate management system or quoting automation platform, most tools will look similar on the surface. The difference shows up after implementation, when the tool meets your actual workflow.
Evaluating what matters in a real brokerage environment — not in a demo
Most tools will look identical during sales pitches: they all show rates, talk about automation, and claim to improve speed. This roadmap is designed to help operations leaders identify structural strengths from generic features before launching implementation.
1
Can it quote where your requests actually show up?
Freight does not come through one channel. Your team is working across shipper TMS platforms, shipper portals, bid boards, and email. If your system only covers part of that, your process is still fragmented.
WHAT TO LOOK FOR
Quoting directly inside email workflows, not forcing reps into a separate tool.
Coverage across shipper TMS platforms and shipper portals.
Bid board quoting, not just internal rate generation.
A single workflow across channels, not separate logins and processes.
WHAT TO WATCH FOR
Many tools stop at “rate generation.” They give you a number, then expect your team to apply quoted markup and submit manually. That is not quoting automation. That is a pricing tool with extra steps.
WHY IT MATTERS If your team is still stitching together the workflow across channels, you will continue to miss volume, slow down response time, and introduce inconsistency.
2
Does it integrate in the way your customers operate?
Integration is one of the most overused words in this category. The real question is whether the system can connect to the platforms your customers use, even when those platforms are inconsistent or lack APIs.
WHAT TO LOOK FOR
API connections when available.
RPA coverage when APIs are not available.
No requirement to purchase additional APIs just to make the system work.
Pre-built connections that reduce setup time.
WHAT TO ASK
Is this integration API, RPA, or both?
What happens when a shipper platform does not support APIs?
Can we run a pilot across our actual shipper mix?
How does this work alongside our TMS?
WHY IT MATTERS API-only solutions work in clean environments. Most brokerages do not operate in clean environments. If your system cannot handle both, automation will break across part of your network.
3
Can your team control pricing logic without engineering?
Speed without control creates risk, and control without speed creates bottlenecks. The systems that hold up over time give business users direct control over pricing logic.
WHAT TO LOOK FOR
No-code pricing logic that can be configured by shipper, lane, region, and equipment.
The ability to adjust quoted markup targets, rules, and parameters without developer support.
Real-time updates, not delayed release cycles.
Plain-language rule creation, with AI assistance for setup and review.
WHAT TO WATCH FOR
Many tools describe logic as simple if-then rules or static fields. That works for basic scenarios, but breaks under real-world complexity.
WHY IT MATTERS If pricing logic cannot evolve quickly, your team will fall back to manual overrides. That is where consistency and markup control start to break down.
4
Does it have governance built in, not added on?
As soon as you give teams the ability to move faster, you need guardrails. Without them, one bad change can impact an entire book of business.
WHAT TO LOOK FOR
Role-based permissions for who can create and edit pricing rules.
Full audit history showing who changed what, and when.
Version control or rollback capability.
The ability to pause or adjust rules in real time.
WHAT THIS LOOKS LIKE IN PRACTICE
In real operations, markets shift quickly. Weather events, capacity swings, or customer changes require immediate adjustments. The system should allow you to react in real time without creating downstream risk.
WHY IT MATTERS The goal is not just faster quoting — it is faster quoting with control.
5
Does it capture every quote and show you what happened?
Most brokerages do not have a complete view of quoting activity. Some quotes live in email. Others in portals. Others never get sent at all.
WHAT TO LOOK FOR
Capture of quote activity across email, portals, and bid boards.
Visibility into both quoted and unquoted freight.
Reporting that shows win rates, response times, and quoted markup trends.
The ability to trace decisions back to specific quotes.
WHAT TO WATCH FOR
Some tools show only the quotes that were processed through their system. That creates a partial view and limits your ability to improve.
WHY IT MATTERS You cannot improve what you cannot see. Full quote capture is what turns quoting into a measurable, improvable process.
6
Does it actually reduce manual work, or just move it around?
Many tools claim automation, but still rely heavily on user input. The real test is whether your team is doing less manual work after implementation.
WHAT TO LOOK FOR
Automated data extraction from emails, portals, and load boards.
Automatic rate calculation with quoted markup applied.
The ability to submit quotes without rekeying data.
Options for both semi-automation and full automation.
WHAT TO WATCH FOR
If your reps are still copying, pasting, and logging into multiple systems, the tool is not solving the core problem.
WHY IT MATTERS Reducing manual work is what allows your team to scale output without adding headcount.
7
Can it scale with your business without breaking your workflow?
This is where many tools fail after the initial rollout. They work for a small team or a limited set of customers, but struggle as volume increases or as the shipper network expands.
WHAT TO LOOK FOR
Performance across high quote volumes.
Support for multiple quoting teams and workflows.
Flexibility to handle different shipper requirements.
A system that does not require constant reconfiguration as you grow.
WHY IT MATTERS A system that only works at low volume will not protect target markup when the market shifts or when your business scales.
8
What happens 30 to 60 days after you go live?
This is the question most buyers do not ask early enough. Initial demos focus on features, but the real test is adoption.
WHAT TO LOOK FOR
Ease of use for frontline brokers and agents.
Minimal training required to get started.
Clear ownership on your team to manage pricing logic.
Vendor support that drives adoption, not just implementation.
WHAT TO WATCH FOR
Complex systems often fail because the team does not use them consistently. That leads to partial adoption, which recreates the same problems you started with.
WHY IT MATTERS If the system is not used consistently, it cannot deliver consistent results.
Final Perspective
Most rate management tools will check a few of these boxes, but very few solve the entire quoting workflow. Tabi Connect was built to cover the full process—from the rate request coming in to the quote going out across email, shipper platforms, portals, and bid boards. If you are evaluating options, the goal is not to find a better rate tool. It is to find a system that holds up in the way your team actually works.
A Rate Management System (RMS) is software that automates freight quoting and turns every request into pricing data brokers can act on. It captures rate requests from shipper platforms, bid boards, and email, prices each one using rules the broker defines, and submits the quote back to the shipper, in some cases in as little as two seconds, without a rep manually handling the request. Every request is captured in full, whether it turns into a submitted quote, gets routed for manual review, or falls outside what the broker wants to quote at all. When a load is awarded, that outcome is tracked against the original quote too, so brokers can see quoted markup next to what was actually awarded. The result is a complete record of what got quoted, what got skipped, and what won, instead of a summary limited to the loads that closed.
Freight brokers use the term in a few different ways, so it helps to be precise. An RMS is not a rate lookup tool, and it is not a transportation management system. It is the layer that sits between the two, turning a rate request into a submitted quote without a person doing the mechanical steps by hand.
The rest of this page covers what an RMS actually does, why it exists as a separate system from a TMS, how brokerages use quoting data as a pricing strategy instead of a reporting exercise, and what to look for if you are evaluating one.
What a Rate Management System Does
An RMS is built around five core functions. Together they cover the full quoting cycle from the moment a request arrives to the moment a win or loss is recorded.
Multi channel request capture
Connects to shipper TMS platforms, bid boards, and email using API where available and RPA where it is not, so requests from every channel land in one place.
Configurable pricing logic
Markup rules, lane specific adjustments, and customer tiers are set through a browser interface and applied the same way on every quote, with no coding involved. Pricing logic doesn’t have to be built as traditional if/then statements either. AI pricing rules let brokers set quoting logic in plain language, and those rules stack on top of the rest of the pricing setup instead of replacing it. That means a broker can adapt to a quick change in a lane without having to go in and manage how each individual rule operates.
Automated quote submission
Quotes go back to the shipper directly, without a rep in the loop for requests that fall within the defined pricing rules.
Control Tower and exception routing
Not every request should go out automatically, and Control Tower is where a broker decides that. It routes quotes to a human review queue whenever a broker wants a person in the loop, whether that’s a specific shipper, a complex lane, or any request that falls outside the defined pricing parameters. It’s optional and configurable per lane or account, so brokers can let the rules run on what they trust and keep manual review on the parts of the book where they still want a person checking the quote before it goes out.
Quoting analytics
Every request is logged whether it resulted in a quote or not, giving operations a complete view of response rate, win rate, and quoted markup by lane. Instead of building a report to find out why win rate dropped on a lane, operations can ask the system directly and get an answer from the underlying quoting data, without pulling it manually.
Why an RMS Is a Separate System From a TMS
The short answer is that a TMS and an RMS are built to solve different problems, not the same problem at different price points.
A TMS is architected around the lifecycle of a load that already exists. Once a load is awarded, it moves through tendering, tracking, documentation, and invoicing, each stage anchored to a single record. That’s a sequential, one-record-at-a-time workflow, and TMS platforms are built well for it.
Quoting is a different kind of problem. A brokerage fielding requests across shipper platforms, bid boards, and email is handling high volume, sub-second response expectations, and parallel requests where most never turn into a load at all. That’s not a lifecycle problem, it’s a throughput problem. Building real automation for that means the system has to be architected for volume and speed from the start, not added as a module on top of software designed to manage one load through its stages.
That’s why most TMS quoting modules stay at basic rate lookup. It’s not a feature gap that will close with the next release, it’s a mismatch between what the system was built to do and what quoting actually requires. A rate management system is purpose-built for the quoting side, and it connects to the TMS once a quote is awarded and becomes a load.
Pricing Data as a Strategic Asset, Not Just a Report
Most brokerages still price off rep memory and experience. A rep knows a lane, has a feel for what it’s trading at, and quotes off that instinct under time pressure. That works until it doesn’t scale: it doesn’t transfer when a rep leaves, it’s inconsistent across a team, and there’s no way to see whether the brokerage is systematically over or under quoted markup on specific lanes versus the market.
An RMS changes what’s possible here because every quote becomes a structured data point instead of a decision that lived in someone’s head. Response rate, win rate, and quoted markup by lane turn pricing into something a brokerage can actually manage and improve, rather than something that depends on who happens to be working a given lane that day. Brokerages that treat their quoting data this way are working from a real pricing strategy. Brokerages still quoting off memory are competing on instinct, and instinct doesn’t hold up as request volume grows.
Rate Management System vs. TMS vs. Manual Quoting
The most common confusion is between an RMS and a TMS, since most TMS platforms include some quoting functionality. The table below shows where each approach holds up and where it does not.
Function
Manual Quoting
TMS Quoting Module
Rate Management System
Response time
Response time varies widely by rep and by how many requests are queued
Built for occasional use, not timed for spot response
As little as 2 seconds
Channel coverage
Limited to channels a rep actively checks
Rate lookup within the TMS interface only
Shipper platforms, bid boards, and email simultaneously
Pricing logic
Applied inconsistently depending on the rep and time pressure
Basic rate lookup, no configurable markup rules
Broker defined logic, applied the same way every time
Visibility
No structured record of missed or lost requests
Reporting limited to loads that were booked
Captures every request, quote, win, and loss
Scalability
Capped by headcount
Not built for high daily request volume
Processes requests simultaneously regardless of volume
Rate Management System vs. Rate Intelligence Tools
The other point of confusion is with rate intelligence subscriptions like DAT RateView, Sonar, Truckstop RateCast, and C4 Connections. Those tools provide market rate data. They tell you what a lane is trading at. They do not capture requests, apply your markup rules, or submit a quote. An RMS connects to those subscriptions through API and uses the data they provide as one input in a quote it builds and sends automatically. Brokers keep their existing rate intelligence relationships and add the RMS as the automation layer on top.
Who Uses a Rate Management System
RMS platforms are built for freight brokerages and 3PLs that receive spot quote requests across multiple shipper platforms. The point at which a brokerage typically starts evaluating one is when manual quoting is visibly constraining how many requests get answered, or when response time is costing loads that were priced correctly but arrived too late.
A note on where this definition comes from Tabi Connect’s pricing logic was designed by Joel McGinley, co-creator of DAT RateView, one of the freight industry’s primary rate benchmarking tools. That background shapes how this page defines the category, from the pricing and data side of freight, not just the software side.
Frequently Asked Questions
What does RMS stand for in freight?
RMS stands for rate management system. In freight brokerage, it refers to software that automates the process of receiving a rate request, pricing it according to broker defined logic, submitting the quote back to the shipper, and logging the outcome so the brokerage has structured data on response rate, win rate, and quoted markup.
Is a rate management system the same as a TMS?
No. A TMS manages a load after it has been awarded, covering carrier tendering, tracking, documentation, and invoicing. A rate management system operates before the award, handling the quoting workflow. The two are built on different architectures because they solve different problems, sequential load management versus high-volume, parallel request handling. Most brokerages run both, and they connect to each other.
Is a rate management system the same as a rate intelligence tool like DAT RateView?
No. A rate intelligence tool provides market rate data that a person or system references when pricing a load. A rate management system pulls from those rate sources automatically and uses them to build and submit a quote. Brokers keep their rate intelligence subscriptions and add an RMS on top.
Do freight brokers need a rate management system?
Brokers handling a low volume of quote requests can often manage manually. Once a team is fielding dozens of requests a day across several shipper platforms, response time and consistency typically start to suffer, which is the point at which an RMS addresses a measurable operational gap.
How does a rate management system work?
An RMS connects to shipper platforms, bid boards, and email through API and RPA to capture rate requests as they arrive. It applies the broker’s pricing logic automatically, pulls current market rates from the broker’s existing rate sources, and submits the quote, in some cases in as little as two seconds, without a rep in the loop for routine requests.
What features should a rate management system have?
At minimum, an RMS should offer multi channel request capture, configurable pricing logic with no coding required, automated quote submission, exception routing for requests outside defined parameters, and analytics that capture every request whether or not it resulted in a quote.
See a Rate Management System in Action
Tabi Connect is a rate management system built for freight brokers. It connects to 70+ shipper platforms, applies your pricing logic automatically, and submits quotes in as little as 2 seconds.
Not all freight rate management systems are built the same way. The category includes everything from lightweight quoting tools to full automation platforms, and the differences matter when a brokerage is quoting hundreds of loads per day across dozens of shipper connections. Choosing the wrong system doesn’t just mean paying for something that underdelivers. It means spending the next several months working around limitations that slow the operation down.
These are the criteria that distinguish a rate management system built for scale from one that creates new bottlenecks.
1. Real Integration Depth, Not Just Integration Count
The first thing to look past is the integration list. Most RMS platforms will tell you they connect to a long list of shipper platforms. The more useful question is how those connections work. There are three types of shipper platform connections:
Live API connections: The RMS communicates directly with the shipper’s system in real time. Rate requests are received and quotes are submitted without delay or manual steps.
RPA connections: Robotic process automation mimics the actions a human would take in a shipper portal. Used for platforms that don’t offer a direct API. Still real-time, still automatic.
Scheduled or manual exports: The RMS pulls data on a schedule, or requires manual downloads and uploads. This creates a lag between when the request is submitted and when the RMS sees it.
The first two types support a competitive response time. The third doesn’t. Ask directly how each integration is handled and what the expected response window is per shipper platform. Tabi Connect uses API connections where available and RPA where not.
2. Pricing Logic That the Broker Controls
The value of a rate management system depends on how precisely a broker can define and enforce their pricing strategy. A system that locks logic behind vendor-controlled rules or requires IT involvement to update is a tool that constrains the brokerage’s strategy rather than serving it.
Look for no-code configuration for markup targets, lane adjustments, accessorials, and equipment rules; real-time parameter updates from any browser, without an implementation ticket; support for 40+ simultaneous parameters so the logic can be as granular as the business requires; and exception thresholds that can be set and adjusted by the operations team, not the vendor.
The pricing logic engine is where markup, and ultimately margin, is protected or lost. A brokerage that can’t quickly adjust rules as market conditions change will find itself either leaving money on the table or quoting outside competitive ranges. See how broker-defined pricing logic protects margin.
3. Exception Handling That Is Visible and Actionable
Every RMS will encounter rate requests that fall outside the defined parameters. How the system handles those exceptions determines whether they become missed loads or managed escalations.
A well-built system flags exceptions, routes them to the right team or rep, and captures the exception data so patterns can be identified and addressed. A poorly built system lets them fall into a queue that nobody monitors, or requires manual checking to find requests that didn’t receive a response.
Ask what percentage of exceptions typically get resolved, how exceptions are routed, and what reporting exists around exception patterns. A high exception rate that doesn’t decrease over time is a signal that the pricing logic needs refinement, and the right system makes that visible.
4. Analytics That Cover the Full Quoting Funnel
Most quoting operations track loads won and loads moved. The stronger signal is what happens before the award: how many requests came in, how many were quoted, how many weren’t, at what markup, and at what response time.
A freight rate management system should capture every rate request, not just the ones that turned into quotes. That complete data set is what makes it possible to answer the questions that actually drive improvement: Which lanes are we consistently losing? Where is our response time causing us to miss the first wave? Which shippers are sending requests we never respond to?
5. Implementation Time and IT Requirements
An RMS that takes six months to implement and requires significant IT involvement isn’t the right tool for a brokerage that needs to solve a quoting problem now. Implementation complexity is a real evaluation criterion, not just a logistics detail.
Questions to ask: Who handles the API and RPA configuration? Are virtual machines or custom infrastructure required from the customer? How many weeks from contract to go-live is realistic?
Tabi Connect averages four to five weeks from proposal acceptance to go-live. The implementation team handles all integrations and configuration. The customer’s IT team is not required to provision or maintain infrastructure.
6. A Pilot or Trial Option Before Full Commitment
A rate management system is a significant operational change. Any vendor confident in their platform should offer a defined way to test it before full deployment. A pilot with a subset of shippers, a defined time window, and measurable results is how a brokerage confirms that the system does what it claims before expanding to full volume.
Tabi Connect offers 30-day pilot programs with no long-term contract requirement. This lets brokerages evaluate response time, win rate impact, and exception handling with real shippers before committing.
What to Look for at a Glance
Criterion
What to Ask
Integration depth
API or RPA? Scheduled exports? Expected response time per shipper?
Pricing logic control
No-code updates? How many parameters? Real-time adjustments?
Exception handling
How are exceptions routed? What exception data is captured?
Analytics coverage
Does the system capture requests that were not quoted?
Implementation
Who handles configuration? Time to go-live? IT involvement required?
Pilot options
Is a trial available before full commitment?
Frequently Asked Questions About Evaluating a Freight Rate Management System
What is the most important factor when choosing a freight rate management system?Integration depth matters more than integration count. A system with 100 listed connections that relies on scheduled exports is slower than one with 30 live API or RPA connections. Response time is where loads are won or lost, so the technology behind each integration is the most critical factor.
How long does RMS implementation typically take? It varies by vendor and scope. Tabi Connect averages four to five weeks from proposal acceptance to go-live. Setup requires no virtual machines or infrastructure from the customer. All API connections and configurations are handled by the implementation team.
Is a rate management system worth the investment for smaller brokerages?An RMS delivers the most immediate return for brokerages quoting 50 or more spot loads per week across multiple shipper platforms. For smaller operations, the question is whether manual quoting is creating a ceiling on growth. If the team can’t respond quickly enough to compete, the cost of the RMS is typically offset by the loads that would otherwise be missed.
What should I test during a pilot? Focus on three things: response time per shipper, win rate against your baseline, and exception rate. A pilot that shows faster response, stable or improved win rates, and manageable exceptions is a clear signal the system is working.
How do I evaluate the quoting analytics?Ask to see a live demo of the analytics dashboard and look specifically for data on requests that weren’t quoted. Any platform can show you loads won. The stronger indicator is whether the system captures the full quoting funnel, including the requests that went unanswered.
See Tabi Connect’s Approach to Each of These Criteria
Tabi Connect is a freight rate management system built for brokerages that need to quote at scale. It connects to 70+ shipper platforms, enforces broker-defined pricing logic with no coding required, and includes a 30-day pilot program.
