SAP Transportation Management handles freight consolidation and linehaul planning. But for multi-stop last-mile delivery with 50+ stops, time windows, and real-time re-sequencing, you need Locate2u.
SAP TM excels at transportation management for freight and linehaul -- consolidating shipments, selecting carriers, and managing point-to-point transport legs. But last-mile delivery is a fundamentally different problem. When a single vehicle needs to visit 50 customer locations in one day, each with a different time window, package size, and service requirement, SAP TM cannot calculate the optimal stop sequence.
Locate2u adds the multi-stop optimization intelligence that SAP lacks. Delivery orders flow from SAP into Locate2u, where an AI engine evaluates millions of possible sequences to determine the route that minimizes total drive time, respects every constraint, and maximizes the number of deliveries each vehicle completes per shift.
SAP Transportation Management was built for consolidating shipments into freight loads and selecting the best carrier for point-to-point legs. It calculates cost-per-ton-kilometer, not the fastest sequence for a van visiting 60 residential addresses in one afternoon. The problem domains are fundamentally different.
SAP delivery documents can carry requested delivery dates and time slots, but SAP has no engine to sequence 50 stops so that each one is visited within its individual time window while minimizing total route distance. Dispatchers are left to manually juggle these constraints in spreadsheets.
Once SAP generates a delivery plan, it is fixed. There is no mechanism to re-optimize routes when a customer cancels, a rush order appears, or traffic conditions change. In last-mile delivery, where disruptions happen hourly, static planning guarantees inefficiency.
Without optimization, SAP users often assign deliveries to vehicles based on simple geography -- all north-side orders to Vehicle A, all south-side to Vehicle B. This geographic splitting ignores vehicle capacity, time windows, and route efficiency, resulting in some vehicles being overloaded while others run half-empty.
Locate2u pulls delivery documents from SAP SD or S/4HANA in real time. Ship-to addresses, requested delivery windows, item weights, and quantities are extracted automatically so no manual export or re-keying is required.
The AI engine assigns deliveries to vehicles and sequences stops to minimize total fleet drive time. It factors in per-vehicle weight limits, individual time windows, driver shift constraints, and live traffic data to produce routes that are mathematically optimal.
Routes push to drivers via the mobile app. As deliveries complete, status updates, POD photos, e-signatures, and GPS timestamps write back to SAP delivery documents automatically, closing the fulfillment loop in your ERP.
Evaluates millions of possible stop sequences across your entire fleet in under 60 seconds. The algorithm considers distance, traffic, time windows, and capacity simultaneously to produce routes that no human planner could match.
Reads requested delivery times from SAP and enforces them as hard constraints during optimization. Every stop is sequenced to arrive within the customer-specified window, reducing failed deliveries and return trips.
Uses weight and volume data from SAP material masters to ensure no vehicle exceeds its rated capacity. The optimizer balances loads across vehicles to maximize utilization without overloading any single truck.
When new SAP deliveries are created after routes are dispatched, Locate2u re-optimizes active routes to insert the new stop at the best position. Cancellations remove the stop and re-sequence remaining deliveries instantly.
Optimizes across your entire fleet simultaneously. Assign the right deliveries to the right vehicles based on capacity, location, and driver availability rather than simple geographic splits that waste resources.
Dispatchers can override AI suggestions by dragging stops between routes or reordering the sequence. All changes instantly recalculate ETAs, total distance, and constraint compliance in real time.
Reduction in total fleet driving distance
Fuel cost savings across the delivery fleet
On-time delivery rate with constraint-based optimization
Daily planning time eliminated per dispatcher