AI identifying transport savings while protecting customer service.
This AI agent analyses transport operations to identify recurring and actionable cost optimisation opportunities across parcels, pallets, LTL and FTL.
Using existing order, delivery, shipment and tariff data, it reconstructs actual transport flows and tests alternative scenarios while respecting customer commitments and operational constraints.
The agent can identify opportunities including:
✅ Consolidating multiple deliveries to the same customer
✅ Combining shipments across nearby delivery dates
✅ Selecting the most appropriate transport mode
✅ Improving load consolidation before carrier handover
✅ Comparing direct routes with hub-based distribution
✅ Reviewing delivery frequency where appropriate
For every opportunity, the agent compares the actual transport cost with a feasible alternative and explains the proposed change, its constraints and its potential impact. Any scenario conflicting with firm customer commitments is automatically rejected.
The objective is to uncover significant recurring transport savings that are often difficult to identify manually across thousands of individual movements, while keeping transport teams fully in control.
The solution can initially work from existing Excel or CSV extracts and carrier tariffs, without requiring a live ERP or TMS integration.
