How does the upgraded Batch Rate Intelligence improve on the previous version?

The new version adds forward-looking rate and seasonality insights to help brokers see where market conditions are trending during contract periods, not just current rates. It also includes bid positioning and risk visibility to flag lanes where target rates may be misaligned with market expectations before submission. The cleaner interface supports internal review, customer conversations, and bid strategy execution.

Why is this tool important now, specifically?

Freight contract markets have spent the past 18 months normalizing, with spot rates compressing and shippers pushing for aggressive contract pricing. This puts broker margins under significant pressure during RFP season. Better rate intelligence helps brokers optimize bid accuracy across large lane files, directly improving win rates and margin outcomes when margins are tightest.

What segments does the expanded flatbed visibility cover?

The upgrade expands market-level visibility into SONAR's STVI (Spot Truckload Volume Index) and STRI (Spot Truckload Rate Index) indices for the flatbed segment. Historically, flatbed has been harder to benchmark than dry van or reefer, so this expansion gives users broader market context for a previously opaque segment.

Can brokers integrate existing lane files into this tool?

Yes. Users can upload large lane files directly within the SONAR platform and quickly pull market rate context at scale. The tool then analyzes the data to identify where rates may need adjustment, opportunities exist, and how market conditions should inform pricing decisions.

What operational impact should brokers expect from using this tool?

For brokers managing hundreds or thousands of lanes in an RFP, even modest improvements in bid accuracy can have material impact on both win rates and margin outcomes. The tool reduces reliance on static spreadsheets and manual analysis, lowering error risk and improving pricing consistency across lane portfolios.

Technology & Innovation

Moderate

SONAR's RFP Pricing Engine Helps Brokers Win Bids Without Sacrificing Margin

Jul 8, 2026

Get tomorrow's supply chain signal

Daily supply-chain brief. Free, unsubscribe anytime.

The signal

SONAR has released a major upgrade to its Batch Rate Intelligence platform, transforming it from a spreadsheet replacement tool into a comprehensive RFP pricing engine designed to help freight brokers navigate aggressive contract pricing environments. The enhanced feature now includes forward-looking rate and seasonality insights, bid positioning analysis, and risk visibility—enabling brokers to identify pricing misalignments before submitting proposals. This timing is critical: with freight contract markets experiencing a 18-month normalization cycle and spot rates compressing, brokers face intense margin pressure during RFP season. The upgrade addresses a fundamental operational challenge in freight brokerage: the tension between win rates and profitability.

Brokers historically relied on static spreadsheets and manual analysis to price hundreds or thousands of lanes simultaneously, creating high error risk and suboptimal outcomes. By automating bid strategy analysis at scale, SONAR enables brokers to improve bid accuracy across large lane files—delivering material impact on both win rates and margins. The platform also expanded flatbed market-level visibility through its STVI and STRI indices, addressing a historical data gap in a segment that has been harder to benchmark than dry van or reefer. For supply chain procurement teams and freight brokers, this reflects broader industry movement toward data-driven pricing tools.

In a market where even small rate adjustments across hundreds of lanes can significantly affect annual profitability, technology that surfaces market conditions, seasonality trends, and competitive positioning becomes essential infrastructure. The feature is immediately available within the SONAR platform.

Frequently Asked Questions

What This Means for Your Supply Chain

Simulation Suggestion

this month

What if seasonal rate trends shift 2-3 weeks earlier than historical patterns suggest?

Model a scenario where market seasonality patterns compress or advance by 2-3 weeks compared to historical norms. Simulate how this impacts bid accuracy for RFPs that span multiple contract quarters, and evaluate whether fixed pricing strategies fail to capture mid-contract rate movements.

Run this scenario

Simulation Suggestion

strategic

What if spot rate compression widens the gap between broker RFP bids and final market rates?

Evaluate a scenario where spot rates continue compressing beyond current forecasts, widening the spread between broker RFP pricing and actual market rates mid-contract. Test how brokers should adjust their bid positioning and risk tolerance using forward-looking rate intelligence.

Run this scenario

Simulation Suggestion

strategic

What if flatbed market becomes as transparent as dry van—how does broker pricing strategy shift?

Simulate a scenario where expanded flatbed market visibility (like dry van benchmarking) becomes standard across the brokerage industry. Model how pricing competition intensifies for flatbed lanes and what pricing power brokers retain when all market participants have equal visibility.

Run this scenario

Go deeper:

Supply Chain Intelligence: The 2026 Buyer's Guide

The four-layer stack (twin, simulation, sandbox, intelligence) and the framework for evaluating platforms.

Get the daily supply chain briefing

Top stories, Pulse score, and disruption alerts. No spam. Unsubscribe anytime.

The signal

Frequently Asked Questions

What This Means for Your Supply Chain

Related Articles