TMS Backbone

Problem class

Fragmented carrier management across spreadsheets, brokers, and email creates rate leakage, missed consolidation opportunities, and zero visibility into total freight spend or service performance.

Mechanism

The TMS maintains contracted carrier rate tables, applies multi-constraint optimization (distance, cost, service, HOS), automates EDI/API tendering, and settles invoices. Cloud-native architectures enable continuous rather than batch optimization.

Required inputs

• Contracted carrier rate tables and service profiles
• Order and shipment data feed
• Delivery time windows and service constraints
• Carrier capacity and HOS data
• Freight billing reference data

Produced outputs

• Optimized routing and carrier selection
• Tender execution via EDI/API
• Freight settlement records
• Cost and service performance analytics
• Foundation data layer for downstream visibility recipes

Industries where this is standard

• Retail grocery and CPG with dense distribution
• 3PLs operating multi-shipper networks
• Automotive inbound logistics (JIT)
• Heavy industrial with project freight
• E-commerce last-mile networks

Counterexamples

• Tiny-volume shippers (<$1M annual freight spend) where direct carrier portals and spreadsheets are sufficient.
• Single-carrier exclusive contracts where there's nothing to optimize against — the rate table is the relationship.

Representative implementations

• Giant Eagle (460+ stores, 340 drivers, 16M+ miles/year) — Manhattan Associates TMS consolidating 3 legacy systems; 8% empty-mile reduction, 7.7% total mile reduction, 7% cube utilization improvement.
• MercuryGate customers (Cardinal Health, Wesco) — 5-10% freight cost reduction, 20% dock utilization improvement, 80% faster invoice processing.
• Blue Yonder + Shipium integration — 18% shipping spend reduction during 2023 peak with 99.1% on-time delivery.

Common tooling categories

Multi-constraint optimization engine + carrier rate table store + EDI/API integration layer + freight settlement workflow + analytics dashboard.