Logistics and supply chain
Route optimisation, demand forecasting, inventory planning, and shipment tracking with AI.
Logistics and supply chain involve constant trade-offs - cost vs speed, stock vs waste, capacity vs demand. AI can optimise routes, forecast demand, plan inventory, and flag anomalies. For businesses in distribution, manufacturing, or retail, this often means starting with one pain point: late deliveries, excess stock, or manual planning.
I build AI that plugs into your existing systems - TMS, WMS, ERP. The work ranges from demand forecasting for procurement to route optimisation for last-mile delivery. We focus on practical improvements that pay back quickly, with clear metrics and human oversight for exceptions.
Example AI integrations
AI services and tools I've integrated for businesses include:
FourKites
AI supply chain visibility and predictive ETAs. In logistics, it provides real-time visibility and predicted delivery times.
Project44
Supply chain visibility and logistics intelligence. In logistics, it connects carriers and provides shipment visibility.
Flexport
AI for freight and customs automation. In logistics, it automates freight booking and customs documentation.
Blue Yonder
AI for demand planning and supply chain optimisation. In logistics, it forecasts demand and optimises inventory and planning.
Locus
AI route optimisation for last-mile delivery. In logistics, it optimises delivery routes and last-mile efficiency.
Kinaxis
AI for supply chain planning and demand sensing. In logistics, it plans supply chain and senses demand changes.
Try these free tools
AI product integrations
- Custom product features - Recommendations, personalisation, content generation, or assistive writing built into your app or platform.
- Voice and speech AI - Speech-to-text, text-to-speech, and voice assistants for hands-free workflows and accessibility.
- Chatbots and conversational AI - Customer support, lead qualification, and internal Q&A systems that understand your business context.
Frequently asked questions
- AI analyses delivery addresses, traffic patterns, vehicle capacity, and time windows to find the most efficient routes. It adapts in real time to delays or new orders. Most businesses see a 10-20% reduction in fuel costs and delivery times after implementing AI route optimisation.
- Yes. AI demand forecasting analyses sales history, seasonality, and external factors to predict what you will need and when. This reduces over-ordering and stock-outs. For perishable goods or seasonal products, the savings can be substantial.
- No. I build AI that integrates with your existing transport management and warehouse management systems. The AI reads your data, generates optimised plans, and feeds decisions back into your current tools.
- Start with your biggest pain point - usually demand forecasting for procurement, route optimisation for deliveries, or anomaly detection for shipment tracking. Pick the one that costs you the most time or money, prove the value, then expand.
How can AI improve delivery route planning?
Can AI help reduce excess stock and waste?
Does AI logistics require replacing our current TMS or WMS?
What logistics problem should we tackle with AI first?
Want to discuss AI for your business?
I help businesses integrate AI into their workflows. Get in touch to talk through your specific situation.