Infor WMS optimizes your warehouse picking sequence. Locate2u optimizes the delivery route from your dock to 30+ customer locations -- minimizing drive time, fuel, and late deliveries.
Infor is built for distribution. Its WMS calculates the most efficient picking sequence to get orders off the shelf and onto the loading dock. But once those pallets are loaded onto a truck, Infor's optimization stops. The route from your warehouse to 30 customer locations requires a completely different kind of intelligence -- one that considers road networks, time windows, vehicle capacity, and real-time traffic.
Locate2u extends Infor's distribution intelligence beyond the warehouse wall. Outbound shipment data flows from Infor into Locate2u, where an AI engine sequences every delivery stop for minimum drive time. The result is a seamless chain from warehouse pick to optimized route to confirmed delivery -- all synced back to your Infor instance.
Infor WMS calculates the optimal warehouse picking path to minimize picker travel time. But the moment goods leave the dock, that optimization disappears. The delivery route to 30 customer locations is planned manually or based on simple geographic grouping, resulting in 25-35% more driving distance than an algorithmically optimized route.
When the warehouse loads a truck in random order, drivers waste time at each stop digging through cargo to find the right delivery. The loading sequence should be the reverse of the delivery sequence, but without route optimization feeding back to WMS, the warehouse has no idea what order stops will be visited.
Distribution customers often have specific receiving windows -- loading dock availability, staff schedules, or business hours. Infor stores these preferences but has no mechanism to sequence delivery stops so that every customer is reached within their specified window. Violations lead to refused deliveries and re-delivery costs.
Without route-level optimization, dispatchers assign orders to trucks based on geography alone. This often leaves some trucks overloaded while others run at half capacity. An optimization engine considers both weight and route efficiency to maximize the number of deliveries each vehicle completes.
Outbound shipment data flows from Infor CloudSuite or M3 via ION integration. Delivery addresses, item weights, customer receiving windows, and special handling notes are pulled into Locate2u automatically.
The AI engine sequences every stop for minimum drive time while respecting receiving windows and vehicle capacity. The optimized sequence can feed back to the warehouse so cargo is loaded in reverse delivery order for efficient unloading at each stop.
Drivers follow optimized routes on the mobile app. As each delivery completes with proof of delivery, confirmations sync back to Infor shipment records automatically, closing the distribution cycle from warehouse to customer.
Sequences 30-100+ delivery stops across multiple vehicles in under 60 seconds. The algorithm evaluates millions of permutations to find routes that minimize total fleet driving distance and time.
Enforces customer receiving windows as hard constraints during optimization. Distribution customers with specific dock hours or staff availability windows are guaranteed delivery within their specified timeframe.
Uses shipment weight and volume data from Infor to calculate load per vehicle. Prevents overloading while maximizing the number of stops each truck can serve on a single run.
When urgent shipments are added after trucks depart, Locate2u dynamically inserts new stops into active routes at the optimal position. Road closures and traffic delays trigger automatic path recalculation.
Optimizes across your entire delivery fleet in one run. The engine determines the best allocation of shipments to vehicles based on location, capacity, and schedule -- not just simple geographic zones.
Dispatchers can override AI suggestions by dragging stops between routes or reordering the delivery sequence. All changes instantly recalculate ETAs, total distance, and loading order recommendations.
Reduction in total delivery fleet mileage
Fuel cost savings across delivery operations
Receiving window compliance rate
Additional stops per vehicle per day