Routes optimized before your drivers clock in. Delays predicted before they happen. Documents processed without human touch. 25% cost reduction. 95% on-time delivery. Deployed in weeks.
Measured from live deployments, not simulations
Fewer empty miles. Smarter load consolidation. Better asset utilization. The savings come from fixing the operations you already have.
Delays predicted 4-6 hours before impact. Routes adjusted automatically. Customers notified before they call to complain.
BOLs, customs forms, packing slips - processed automatically. Your ops team stops typing and starts managing.
Production-ready AI for every link in the chain
Traffic, weather, delivery windows, vehicle capacity - all factored before dispatch. Routes recalculate when conditions change. Fuel costs drop. On-time rates climb.
Receiving, putaway, picking, packing, shipping - orchestrated by AI. Inventory placed where it ships fastest. Handling time drops measurably.
Models trained on your historical data, seasonality, promotions, and market signals. Inventory levels that match actual demand instead of last quarter's guess.
Sensor data from your fleet analyzed continuously. Breakdowns predicted weeks in advance. Maintenance happens on your schedule, not on the shoulder.
Bills of lading, packing slips, customs forms - data extracted and validated automatically. 95% less manual entry. Zero re-keying errors.
Shipment notifications, delivery ETAs, exception alerts - all automated. Customers know where their freight is before they ask.
Production use cases across the supply chain
Optimize delivery routes in real-time based on traffic, customer preferences, and delivery windows. Improve driver productivity and reduce fuel costs.
Predict stockouts, optimize reorder points, and balance inventory across distribution centers with AI-powered demand sensing and allocation.
Consolidate shipments, select optimal carriers, and negotiate better rates with AI analysis of shipping patterns, costs, and service levels.
Automate customs documentation, classify products, calculate duties, and ensure regulatory compliance across international shipments.
Traditional logistics tech takes 9-12 months. On StronglyAI, teams ship production AI in 7 weeks. Here is the timeline.
Based on mid-size logistics operator
EDI moves the purchase orders, ship notices, and invoices behind every shipment, and every trading partner speaks a slightly different dialect. Turning that text into clean, analytics-ready data is still one of the hardest problems in logistics integration. See how our EDI Translator solves it: the model proposes a mapping, never a value, deterministic code copies every number verbatim, and onboarding a partner stops taking weeks.
Read the articleBuilt to run in production. And engineered to keep running.