AI USE CASE
AI Freight Capacity Matching Platform
Match available freight capacity to shipment demand in real time, cutting empty miles and boosting load factors.
What it is
An ML-powered matching engine continuously pairs available truck or container capacity with incoming shipment requests, optimising routes and consolidation in real time. Logistics operators typically see empty-mile rates drop by 20–35% and load factors improve by 15–25%, directly reducing fuel costs and CO₂ emissions. Automated matching replaces manual broker calls and spreadsheet coordination, cutting dispatch time from hours to minutes. At scale, the platform can reduce operational cost per shipment by 10–20% while improving carrier and shipper satisfaction.
Data you need
Historical shipment records, real-time carrier capacity feeds, route and lane data, and freight pricing history are required for training and live matching.
Required systems
- erp
- data warehouse
Why it works
- Onboard a critical mass of carriers and shippers early to ensure sufficient liquidity for meaningful matching.
- Integrate directly with TMS and ERP via APIs so capacity and demand data flow in real time without manual input.
- Build dispatcher trust through transparent match explanations and an easy manual override workflow.
- Implement continuous model retraining pipelines using fresh shipment and pricing data.
How this goes wrong
- Sparse or siloed carrier capacity data leads to poor match quality and low adoption by dispatchers.
- Real-time data integration with legacy TMS or ERP systems stalls deployment for months.
- Carriers distrust algorithmic assignments and revert to manual broker relationships, undermining platform ROI.
- Model performance degrades during demand shocks (e.g. peak seasons) if not retrained on recent data.
When NOT to do this
Do not build a custom matching platform if your monthly shipment volume is below a few hundred loads — off-the-shelf freight exchange networks will deliver better results at a fraction of the cost.
Vendors to consider
Sources
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