Procurement Software Built for the Complexity of Freight Spend
General procurement tools are built for catalog spend, not the dynamic carrier markets and mode-specific rate structures freight sourcing runs on.























Freight Procurement Runs on Tools Built for Catalog Spend, Not Carrier Markets.
Most enterprises run freight sourcing on spreadsheets and annual RFQ cycles that don't track how carrier rates actually move.
Annual RFQ Cycles on a Spot Market
Annual bid cycles lock in rates against market conditions that no longer exist by the time contracts execute.
Manual RFQ Build and Distribution
Procurement teams spend weeks building lane lists and distributing RFQs by email before a single bid comes back.
No Structured Bid Comparison
Carrier bids arrive in different formats, and normalizing them for comparison 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 sourcing lifecycle: lane analysis, RFQ creation, bid management, scenario modeling, and contract award.
Automated RFQ Creation and Distribution
The RFQ Builder Agent builds packages from lane data, volumes, and service requirements, and distributes them automatically, no manual packaging or email chains.
Carrier Bid Normalization
Bids arrive in different formats. Freehand normalizes every response into a structured comparison of rate, service level, coverage, and history.
Scenario Modeling and Award Optimization
The Scenario Optimization Agent models primary, backup, and spot allocation across your carrier base before a single contract is signed.
Contract Rate Integration
Negotiated rates flow directly from sourcing into audit and payment, closing the gap between contracted and billed rate at the source, not months later.
Freight Spend Intelligence
The Spend Intelligence Agent classifies freight spend by mode, carrier, and cost center, giving Procurement a finance-grade view of committed versus spent.
Continuous Market Benchmarking
Freehand's Context Graph maintains market rate benchmarks by lane and mode, so Procurement knows where contracted rates stand before the next bid cycle.
Annual Bid Cycles vs. Continuous Market Data
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.
RFQ packages built and distributed in days. Procurement cycles that took six to eight weeks close faster.
Carrier bids are normalized automatically. Procurement spends time on award decisions, not spreadsheet reconciliation.
Award decisions are backed by scenario modeling, with cost, service, and risk modeled across the carrier base before any contract is signed.
Contracted rates transfer directly into audit and payment. Overcharges against negotiated rates are caught at invoice time, not during quarterly reviews.
Freight spend is visible by lane, carrier, mode, and cost center at any point, so category managers negotiate from current data.
Market benchmarking runs continuously, so Procurement knows where contracted rates stand before the next bid cycle opens
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 to run freight sourcing from lane analysis through award, with rates flowing into audit
Automated RFQ Creation and Distribution
RFQ Builder Agent builds packages from lane data and volume history, distributed automatically with no manual chains.
Carrier Bid Normalization and Comparison
Every carrier response is normalized into a structured comparison view, so Procurement spends time on decisions, not spreadsheets.
Scenario Modeling and Award Optimization
Scenario Optimization Agent models primary, backup, and spot allocation before award, testing cost and service risk.
Contract Rate Integration
Negotiated rates flow directly from sourcing into audit and payment, closing the gap at the source.
Freight Spend Intelligence
Every freight spend event classified by mode, carrier, lane, and cost center, giving managers complete data to negotiate from.
Market Rate Benchmarking
Contracted rates are benchmarked against market continuously, so Procurement knows where it stands before each bid cycle.
ERP and Finance Integration
Connectors to SAP, Oracle Cloud ERP, Oracle JDE, and NetSuite push sourcing and spend data directly into Finance.
TMS-Agnostic Integration
Connects to Oracle TMS, Blue Yonder, MercuryGate, Manhattan, and e2open, with sourcing data flowing into existing TMS workflows.
Every Industry. Every Mode. One Platform.
Deployed across industries where freight spend is large, carrier diversity is high, and sourcing 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
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 & FMCG
Multi-modal sourcing, high carrier diversity, lane procurement across brands and regions
OEM
Electronics and parts shipping, complex accessorials, JIT delivery windows
Chemical Manufacturing
Hazmat billing disputes, specialized contract terms, and regulatory documentation
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 step.
RFQ Builder Agent
Builds RFQ packages from lane data, historical volumes, and service requirements, distributed to the right carrier set automatically.
Bid Normalization Agent
Collects carrier responses and normalizes them into a structured comparison across rate, coverage, service level, and history.
Scenario Optimization Agent
Models primary, backup, and spot allocation scenarios against your actual freight profile, testing cost, service, and risk before award."
Spend Intelligence Agent
Classifies every freight spend event by mode, carrier, lane, and cost center, benchmarking contracted rates against market.
Powered by the Freehand Context Graph
Freehand's Context Graph unifies contracted rates, lane volume history, carrier performance, and market benchmarks into one semantic layer, letting AI agents build accurate RFQs and model awards against your actual freight profile.
It's built on the Freehand Logistics Language Model, trained on freight procurement patterns and carrier rate structures across parcel, LTL, FTL, ocean, and air.
- 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.
Freight procurement software manages the sourcing lifecycle for carrier spend: lane analysis, RFQ creation, bid normalization, award modeling, and contract rate integration into audit and payment. Freehand's AI Teams run this autonomously, closing bid rounds faster and connecting sourcing directly to audit.
General procurement platforms handle catalog purchasing with structured line items. Freight procurement requires lane-level rate negotiation, mode-specific bid formats, dynamic market benchmarking, and scenario modeling across primary and backup carriers. Freehand is purpose-built for this complexity.
Freehand's RFQ Builder Agent builds and distributes packages from lane data automatically. The Bid Normalization Agent collects and normalizes responses without analyst involvement, closing six-to-eight-week cycles in a fraction of the time.
Freehand's Scenario Optimization Agent models primary, backup, and spot allocation scenarios against your actual freight profile, testing cost, service risk, and carrier coverage before a single contract is signed.
Negotiated rates transfer directly from Freehand's sourcing module into Freight Audit & Payment. The contracted rate becomes the audit benchmark from go-live, with no manual rate card uploads or data entry between systems.
Freehand connects to Oracle TMS, Blue Yonder, MercuryGate, Manhattan, and e2open on the TMS side. ERP connectors cover SAP, Oracle Cloud ERP, Oracle JDE, and NetSuite. No TMS migration is required, and sourcing data flows into existing systems.
Most enterprises go live in 8 to 12 weeks, needing 11 to 20 hours of customer team time. Freehand deploys with pre-built freight domain logic and carrier network data. Lane setup and carrier onboarding are handled by the implementation team, not procurement.
Freehand holds SOC 2 Type II, ISO 27001:2022, ISO 27018:2019, GDPR, and CSA STAR certifications, with role-based access and complete audit trails built into every workflow from invoice validation through payment posting.
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.
Built on Freehand Studio · freehand.ai

