Procurement Software Built for the Complexity of Freight Spend
General procurement tools were built for catalog spend. Freight procurement is different dynamic carrier markets, mode-specific rate structures, and bid cycles that run on deadlines. Freehand's AI Teams run the full sourcing lifecycle without the manual overhead.
Parcel Billing Is Engineered to Be Hard to Audit. Most Teams Catch a Fraction of What They're Owed.
Most enterprises run freight sourcing on a combination of email, spreadsheets, and annual RFQ cycles that bear no relation to how carrier capacity and rates actually move. By the time a bid cycle closes, the market has shifted. Awards are made on data that's already stale.
Annual RFQ Cycles on a Spot Market
Annual bid cycles lock in rates against market conditions that no longer exist by the time contracts are executed.
Manual RFQ Build and Distribution
Procurement teams spend weeks building lane lists and distributing RFQs by email. The process is slow before a single bid comes back.
No Structured Bid Comparison
Carrier bids arrive in different formats. Normalizing them for comparison is a manual exercise that consumes analyst time and introduces errors.
Award Decisions Without Scenario Modeling
Procurement teams award contracts without running allocation scenarios. Cost, service risk, and backup coverage are never modeled.
No Spend View Across Carriers
Freight spend is distributed across carriers, modes, and regions with no consolidated view. Category managers negotiate without data.
Sourcing Lacks Audit Link
Contracted rates negotiated in sourcing rarely make it into audit and payment systems cleanly. The gap between negotiated and billed goes untracked.
What Freehand Does Across the Freight Procurement Lifecycle
Freehand's AI Teams run the full freight sourcing lifecycle lane analysis, RFQ creation, carrier bid management, scenario modeling, and contract award.
Automated RFQ Creation and Distribution
The RFQ Builder Agent builds RFQ packages from your lane data, historical volumes, and service requirements. Distributed to the right carrier set automatically - no manual packaging, no email chains.
Carrier Bid Normalization
Bids arrive in different formats. Freehand normalizes every carrier response into a structured comparison view. Rate, service level, coverage, and historical performance in one place.
Scenario Modeling and Award Optimization
The Scenario Optimization Agent models allocation scenarios across your carrier base before award. Primary, backup, and spot allocation tested against cost, service, and risk before a single contract is signed.
Contract Rate Integration
Negotiated rates flow directly from sourcing into audit and payment. The gap between contracted rate and billed rate is closed at the source, not discovered months later in invoice review.
Freight Spend Intelligence
The Spend Intelligence Agent classifies freight spend by mode, carrier, lane, and cost center. Procurement has a finance-grade view of what was committed versus what was spent across the carrier base.
Continuous Market Benchmarking
Freehand's Context Graph maintains market rate benchmarks by lane and mode. Procurement teams see where contracted rates sit relative to market before entering a bid cycle.
What Changes When Freight Procurement Runs on AI Teams
The gap between traditional procurement cycles and AI-driven sourcing shows up in cycle time, award quality, and spend leakage.
Measurable Outcomes from Week One
Outcomes measured from live deployments across Fortune 500 freight procurement operations.
reduction in freight sourcing cycle time
customer retention rate across Freehand deployments
contracted rate integration into audit and payment from day one
Sourcing Cycles Cut in Half. Same Team.
Real outcomes from enterprises that have deployed Freehand across freight procurement operations.
Built for the Full Freight Procurement Lifecycle
Every capability needed to run freight sourcing from lane analysis through award, with contracted rates flowing into audit.
Automated RFQ Creation and Distribution
RFQ Builder Agent builds packages from lane data, volume history, and service requirements. Distributed to the right carrier set automatically. No manual packaging or email chains.
Carrier Bid Normalization and Comparison
Every carrier response normalized into a structured comparison view. Rate, service level, lane coverage, and historical performance in one place. Procurement teams spend time on decisions, not spreadsheets.
Scenario Modeling and Award Optimization
Scenario Optimization Agent models primary, backup, and spot allocation scenarios before any award is made. Cost, service risk, and carrier coverage tested against your actual freight profile.
Contract Rate Integration
Scenario Optimization Agent models primary, backup, and spot allocation scenarios before award. Cost, service risk, and coverage tested against your actual freight profile.
Freight Spend Intelligence
Every freight spend event classified by mode, carrier, lane, and cost center. Finance-grade procurement data available at any point in the month. Category managers negotiate from current, complete data.
Market Rate Benchmarking
Contracted rates benchmarked against market continuously via the Context Graph. Procurement teams know where they stand relative to market before entering a bid cycle, not after.
ERP and Finance Integration
Connectors to SAP, Oracle Cloud ERP, Oracle JDE, and NetSuite. Sourcing commitments and spend data flow directly into Finance without manual export or reconciliation.
TMS-Agnostic Integration
Connects to Oracle TMS, Blue Yonder, MercuryGate, Manhattan, and e2open. Sourcing data flows into existing TMS workflows without migration or rip-and-replace.
Carrier Performance Tracking
On-time delivery, billing accuracy, and service level adherence tracked per carrier across every lane. Performance data feeds directly into the next sourcing cycle.
Every Industry. Every Mode. One Platform.
Deployed across industries where freight spend is large, carrier diversity is high, and procurement cycle quality determines landed cost.
Industrial Manufacturing
High freight spend, carrier diversity, tariff and trade compliance exposure
Life Sciences & Pharmaceutical
Regulated freight, complex accessorial structures, strict compliance requirements
Healthcare
Time-sensitive shipments, cold chain complexity, high carrier charge variability
Logistics & 3PL
Multi-client invoice management, high volume, margin-sensitive payment cycles
Retail and E-Commerce
High LTL and parcel volume, last-mile carrier sourcing, peak-season capacity procurement
Food & Beverage
Temperature-controlled freight, regional carrier networks, high accessorial volume
CPG and FMCG
Multi-modal sourcing, high carrier diversity, lane procurement across brands and regions
Consumer Electronics
Global parcel and ocean freight, complex carrier networks, high lane-level rate negotiation volume
OEM & Automotive
JIT supply chain, multi-modal, high carrier diversity and charge complexity
Global Trade
Multi-currency, cross-border compliance, ocean and air freight complexity
Parcel & Air
Zone-based rate sourcing, dimensional weight negotiation, accessorial schedule procurement
LTL / FTL
NMFC classification, fuel surcharge negotiation, lane-level rate card sourcing
Ocean FCL/LCL
Port pair sourcing, BAF/CAF negotiation, carrier lane coverage procurement
Intermodal & Rail
Multi-leg lane sourcing, drayage carrier procurement, rate card management
Last-Mile
Per-stop and zone-based carrier sourcing, weight-break rate negotiation
Multi-Modal
Cross-mode carrier base procurement, consolidated spend view across sourcing cycles
Meet the Agents Running Your Freight Procurement Cycle
Freehand deploys one AI Team with four specialized agents, each owning a distinct part of the procurement lifecycle.
RFQ Builder Agent
Builds RFQ packages from lane data, historical volumes, and service requirements. Distributes to the right carrier set. Tracks response rates and sends reminders. The full pre-bid cycle runs without analyst involvement.
Bid Normalization Agent
Collects carrier responses across formats and normalizes them into a structured comparison view. Rate, coverage, service level, and historical performance presented side by side for every lane in the bid package.
Scenario Optimization Agent
Models primary, backup, and spot allocation scenarios before award. Tests cost, service risk, and lane coverage against your actual freight profile. Procurement teams make award decisions on modeled outcomes, not gut calls.
Spend Intelligence Agent
Classifies every freight spend event by mode, carrier, lane, and cost center. Benchmarks contracted rates against market. Feeds performance data into the next sourcing cycle automatically.
Powered by the Freehand Context Graph
Freehand's proprietary Context Graph unifies contracted rates, lane-level volume history, carrier performance, and market benchmarks into a single semantic layer. This enables AI agents to build accurate RFQs, normalize bids correctly, and model award scenarios against your actual freight profile.
The platform is built on the Freehand Logistics Language Model, a domain-specific LLM trained on freight procurement patterns, carrier rate structures, and sourcing cycle data across parcel, LTL, FTL, ocean, and air. It understands how freight procurement works lane by lane, mode by mode, carrier by carrier.
Every RFQ is built from verified lane data and volume history, not templates filled in by analysts.
Every award decision is backed by scenario modeling against your actual freight profile and carrier base.
The Context Graph learns from every sourcing cycle. RFQ accuracy, bid normalization quality, and award scenario modeling improve continuously.
Questions We Hear from Procurement and Supply Chain Leaders
Straight answers to what teams ask before deploying AI-driven freight procurement.
See What Freehand Does for Your Sourcing Cycle.
Freight procurement teams are running dynamic carrier markets on tools built for static catalog spend.
Freehand's AI Teams source every lane, normalize every bid, and connect contracted rates directly into audit and payment.