Dynamics 365 manages your orders and supply chain but has zero route planning. Locate2u adds AI-powered multi-stop delivery optimization that turns D365 orders into the fastest, most efficient driver routes.
Microsoft Dynamics 365 is a comprehensive ERP and CRM platform for managing sales, finance, supply chain, and operations. But when it comes to physically delivering goods to customers, Dynamics has a significant gap: there is no route optimization engine. Orders are created, picked, packed, and marked as shipped -- but the critical question of how to sequence those deliveries across drivers for maximum efficiency goes unanswered.
The typical Dynamics 365 user exports delivery addresses to a spreadsheet, manually groups them by area, and plans routes using Google Maps. This approach breaks down at scale. Locate2u connects directly to D365 via Dataverse APIs, imports delivery orders, and produces optimized multi-stop routes that account for time windows, vehicle capacity, traffic, and driver availability.
Dynamics 365 users typically export pending delivery orders to Excel, manually sort them by geographic area, and then copy-paste addresses into Google Maps one batch at a time. For operations running 30-50 deliveries daily, this export-sort-paste cycle consumes 1-3 hours every morning before a single driver leaves the depot.
Manually planned routes regularly send drivers past the same intersections multiple times. A human dispatcher grouping 40 stops by suburb will miss the fact that visiting Stop 3 before Stop 7 saves 12 minutes of backtracking. These inefficiencies compound across every driver on every route, every single day.
D365 can store requested delivery times on sales orders, but without an optimization engine to enforce them, dispatchers have no way to sequence stops so that every customer is reached in their specified window. The result is frequent missed windows, customer complaints, and failed delivery attempts that require costly re-runs.
Some D365 users try to automate delivery workflows with Power Automate, but Power Automate moves data between systems -- it cannot solve vehicle routing problems. Triggering an email when an order ships is automation. Determining the optimal sequence for 40 stops across 4 vehicles with constraints is optimization. They are not the same problem.
Locate2u connects to D365 via Dataverse APIs or Power Automate triggers to pull sales orders, delivery addresses, item quantities, and customer time windows. No spreadsheet exports or manual data entry required.
The AI engine assigns orders to vehicles and sequences every stop to minimize total drive time. It respects time windows, vehicle capacity, driver hours, and real-time traffic. Hundreds of stops are optimized in under 60 seconds.
Optimized routes push to the driver app with navigation. As each delivery completes, the status, timestamp, and proof of delivery write back to D365 automatically, keeping your ERP records current without manual updates.
Evaluates millions of route permutations to find the stop sequence that minimizes total drive time and distance across your fleet. Replaces hours of spreadsheet work with a 60-second algorithmic solution.
Pulls delivery time windows directly from D365 sales order fields and uses them as hard constraints during optimization. Every stop is sequenced to arrive within the customer-specified window.
Uses item weight and quantity data from D365 to calculate load per vehicle. Ensures no driver's vehicle exceeds weight or volume limits while distributing deliveries as evenly as possible across your fleet.
When new D365 orders arrive after drivers depart, Locate2u inserts them into active routes at the optimal position. Cancellations trigger instant re-sequencing of remaining stops to recover time.
Optimizes across your entire fleet in a single run. The engine determines not just the best stop sequence for each driver, but which driver should take which orders based on location, capacity, and schedule.
Fine-tune optimized routes with a visual editor. Move stops between drivers or reorder the sequence, and watch ETAs and route metrics recalculate instantly. The dispatcher keeps final control.
Reduction in total driving distance per route
Fuel savings from eliminating wasted mileage
On-time delivery rate with time window constraints
Planning time saved per dispatcher each morning