Lanes looked up by hand
Analysts search rate cards and past quotes one lane at a time. The pricing exists somewhere; finding it is the slow part.
Use cases · Quoting
Agents read the inbound request from email, portal, or RFQ spreadsheet, pull lane pricing from the TMS, contracted rate cards, and historical quotes, check availability and terms, apply margin and pricing rules, and produce a ready-to-send quote, so analysts sign off instead of looking up lanes by hand.
hours to minutes turnaroundup to 85% lower cost per quote● in production
The bottleneck is not the calculation, it is everything around it: finding the right rate, holding pricing discipline, and turning a request around before the customer books elsewhere.
Analysts search rate cards and past quotes one lane at a time. The pricing exists somewhere; finding it is the slow part.
Pricing varies from person to person, and discipline is hard to hold. The same lane can leave on two different margins in the same week.
A quote that takes hours competes against one that arrives in minutes. Speed decides the win as often as price does.
One flow from request to sent quote. Agents read the inbound request, pull lane pricing from the TMS, rate cards, and historical quotes, apply margin and pricing rules, and draft the quote. In-policy quotes are ready to send; the rest route to a pricing analyst for sign-off. Hover a team to see where its agents sit.
The Head of Pricing and Tender Management owns turnaround and margin discipline, and needs pricing that is fast and consistent across every request.
The Chief Commercial Officer and Head of Sales own win rate. Faster, more consistent quotes turn more requests into booked business.
Bid teams answer RFIs and RFPs at scale. Agents parse the questionnaire, retrieve answers, flag gaps, and draft the response for review.
Nine quoting agents: what each one gathers, prices, and hands back to the pricing desk.
Aggregates real-time rate, lane, and capacity data for pricing decisions.
Calculates profitable yet competitive rates per shipment.
Aggregates live lane rates, carrier pricing, and fuel indices.
Computes margin-aware, competitive rates for each shipment.
Applies customer-specific terms, discounts, and rate rules consistently.
Learns from outcomes to improve pricing guidance over time.
Benchmarks offers against internal history and market data.
Generates RFQs, evaluates bids, and auto-awards per rules.
Generates customer-ready multimodal quotes instantly: pricing, terms, and lane detail assembled into a response ready for sign-off
“…quote drafted for 3 lanes, margin in policy, ready to send.”
Pre-composed sets of agents, each scoped to one quoting value stream: deploy the whole stack or pick the agents you need.
Live lane rates, margin-aware pricing, and customer-ready quotes assemble a complete response before an analyst opens the request.
Real-time market intelligence, rate optimization, and contract rules keep every quote priced to win while holding margin discipline.
Live rate indices, optimal bid pricing, and outcome-tuned margin models turn a broker request into a competitive, defensible offer.
Carrier scoring, cost optimization, and rule-based auto-award generate RFQs and place loads with the right carrier, pre-checked against contracts.
Benchmark rates, offer comparison, and procurement insights turn inbound freight requests into faster, more competitive RFQs.
Start from a stack or pick individual agents, they're built to work together on your value stream.
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