Logistics becomes autonomous and predictive.
The global logistics AI market is growing to €28 billion by 2026. European logistics companies are deploying AI for route optimization, demand forecasting and warehouse automation. Companies with AI-driven supply chains achieve 25% lower transport costs and 40% faster order processing.
Expected global market size 2026 (MarketsandMarkets)
AI-optimized route planning vs. manual
Warehouse automation with AI vs. traditional
AI-driven load optimization and return planning
The Logistics AI Suite
Five AI components for the intelligent supply chain — from warehouse to last mile.
Route Optimization
AI-driven route planning that combines real-time traffic, weather, delivery windows and vehicle capacity.
Demand Forecasting
Predictive demand forecasting per product, region and season for optimal inventory decisions.
Warehouse Automation AI
Intelligent warehouse management with AI-driven picking, slotting and resource allocation.
Fleet Management
Real-time fleet monitoring with predictive maintenance, fuel optimization and capacity planning.
Supply Chain Analytics
End-to-end visibility with real-time insight into lead times, costs and service levels.
Intelligent routes, efficient fleets
How AI transforms your transport operations from reactive to optimal.
Dynamic Route Planning
AI calculates the optimal route based on real-time traffic, delivery windows, vehicle capacity and customer priorities. Continuous re-optimization during the trip when conditions change. Result: 25% lower transport costs.
Load Optimization
Intelligent load planning that maximizes available vehicle capacity. AI combines orders, optimizes loading sequence and minimizes empty miles. 18% higher load utilization.
Predictive Fleet Maintenance
Machine learning predicts vehicle issues based on sensor data, driving behavior and historical patterns. Maintenance at the optimal moment — not too early, not too late. 30% lower maintenance costs.
Smart warehouses, predictive supply chains
How AI transforms your warehouse operations and demand planning.
AI-Driven Picking
Intelligent pick routes and sequences that minimize throughput time. AI optimizes walk paths, wave planning and resource allocation. Result: 35% higher picking productivity.
Demand Sensing
AI combines historical data, external signals and real-time sales data for accurate demand forecasting. From seasonal patterns to sudden peaks — always the right inventory in the right place.
Last Mile Intelligence
Optimization of the last mile: from time window suggestions to dynamic delivery options and real-time tracking. AI maximizes customer satisfaction while reducing delivery costs.
From manual planning to autonomous logistics
Traditional logistics planning is labor-intensive. Agentic Logistics Systems optimize autonomously. W69 designs architectures where AI agents independently plan routes, position inventory and allocate capacity — 24/7.
Order Orchestration
AI agents analyze incoming orders and automatically optimize consolidation, routing and scheduling.
Fleet Coordination
Real-time coordination of all vehicles with dynamic rerouting for disruptions, delays or rush orders.
Warehouse Optimization
Agents continuously optimize slotting, picking sequences and resource allocation based on real-time order flows.
Network Learning
Every transport outcome refines predictive models. Your logistics operation becomes continuously more efficient and reliable.
Download the full Logistics Growth Brief
Get the complete AI growth framework for Logistics & Supply Chain with detailed insights, benchmarks and implementation roadmap.