Logistics operations are under pressure from every direction — rising fuel costs, driver shortages, customer expectations for same-day delivery, and supply chain volatility. AI is the only lever that simultaneously reduces operating costs, improves service levels, and gives you real-time visibility.
Manual route planning leaves significant efficiency on the table. AI route optimisation incorporating traffic, delivery windows, vehicle capacity, and driver hours reduces fuel costs by 15–25%.
Picking efficiency, slotting optimisation, and dock scheduling are all ripe for AI. ML-powered warehouse management can increase throughput by 20–35% without capital equipment investment.
Customers and shippers want real-time visibility. AI models predicting accurate ETDs based on live traffic and operational data — and proactively notifying on exceptions — reduce customer service calls by 40–60%.
Cross-border shipments generate enormous paperwork. AI document processing for customs declarations and compliance documentation cuts processing time by 70%+ and reduces error rates significantly.
Every solution designed around your sector's specific workflows, compliance requirements, and data environment.
Multi-constraint route optimisation incorporating delivery windows, vehicle capacity, driver hours, traffic, and fuel costs. Real-time re-routing on exceptions. API integration with dispatch and TMS.
Live shipment tracking aggregating GPS, carrier APIs, and internal data. ML-powered ETD prediction with confidence intervals and automated exception alerts.
Slotting optimisation, pick path planning, dock scheduling, and labour analytics. Computer vision integration for inventory verification and damage detection at receiving.
AI extraction and population of customs forms from commercial invoices, packing lists, and HS code classification. Automated flagging of missing or inconsistent data before submission.
ML models forecasting shipment volumes by lane, customer, and season — enabling proactive capacity procurement and reducing last-minute spot market dependency.
Multi-carrier performance dashboards tracking on-time delivery, damage rates, cost per shipment, and SLA compliance. Automated scorecards and tender allocation optimisation.
Every logistics & supply chain engagement starts with a Discovery Sprint where we map your specific workflows, compliance requirements, and data environment before a single line of code is written.
C-TPAT / AEO compliance support · GDPR for EU operations · EDI integration · TMS/WMS integration
We map your routing, warehouse, carrier, and customs workflows — identifying the 3 highest-ROI AI opportunities specific to your operation.
We design AI solutions integrating with your TMS, WMS, and carrier APIs — working within your existing technology landscape.
2-week sprints with weekly demos including real operational data where possible. Driver and warehouse team input at each stage.
Production rollout with operator training, 90-day hypercare, and ongoing model performance monitoring as operational patterns evolve.
Fuel cost reduction and 95% on-time delivery for a regional logistics company
Browse our full case study library — with detailed breakdowns of the challenge, solution, and measurable results.
View case studiesBook a free 30-minute call. We'll identify your top 3 automation opportunities and show you comparable results from similar logistics & supply chain organisations.