CATEGORY EXPLAINER
A warehouse management system (WMS) runs everything inside the four walls, inventory, receiving, putaway, picking and packing. Route optimization runs everything after the loading dock, sequencing, dispatch, tracking and delivery. They barely overlap, which is why most operations run both and connect them over an API.
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A WMS and route optimization are sometimes confused because both deal with "orders," but they run different halves of fulfillment:
There is almost no functional overlap. The clean handoff is simple: the WMS fulfills the order, the routing platform delivers it. Most operations that both store and deliver run both.
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Route optimization turns fulfilled orders, vehicles and constraints into the most efficient set of delivery routes, then keeps them current as the day changes. In eLogii the engine runs on two engines (Default and Advanced) and six configurable modes, with same-day re-optimization when something changes. Past the plan it runs execution: a driver app with barcode and item-level scanning, live ETAs and proof of delivery. All of this happens after goods leave the warehouse.
A WMS runs the building. It is the system of record for inventory and fulfillment inside the four walls. Core functions:
Some WMS optimize picking paths inside the warehouse, but that is movement between shelves, not delivery routes on the road. A WMS does not build vehicle routes or run a driver app.
Route optimization | WMS | |
|---|---|---|
| Primary job | Deliver fulfilled orders efficiently | Store and fulfill orders accurately |
| Where it operates | After the loading dock | Inside the four walls |
| Inventory, picking, packing | Out of scope | Core capability |
| Vehicle routes & sequencing | Core | No |
| Driver app, live ETAs, POD | Native | No |
| Barcode / item-level scanning | On delivery | On pick & pack |
| Typical buyer | Distribution and delivery ops | Warehouse and inventory managers |
WMS category definitions reflect standard functionality across major systems. Verified June 2026.
Lead with a WMS when the hard part is inside the warehouse:
Route optimization does not touch any of this. If your problem is the warehouse, a WMS is the right backbone.
Lead with route optimization when the hard part is getting goods from the dock to the door:
A WMS can tell you an order is picked and packed; it cannot tell you the best way to deliver fifty of them across a region. That is the routing layer. Heatleys reports around 80% less planning time after putting deliveries on an optimization engine.
If orders are fulfilled but delivery is still planned by hand, that is the gap. Book a working session.
Yes, and for anyone who both stores and delivers, they should. The handoff is clean:
The WMS owns the warehouse, eLogii owns the road, and accurate manifests pass between them.
Sort your situation with these:
Inside the four walls is a WMS. Past the loading dock is route optimization. Do both and you connect them.
A WMS manages everything inside the warehouse: inventory, picking, packing. Route optimization manages everything after the dock: sequencing, dispatch, delivery. One runs the building, the other runs the road.
Generally no. Some WMS optimize picking paths inside the warehouse, but they do not build constraint-aware delivery routes or run a driver app. That is the job of a route optimization platform downstream of the WMS.
If you both store and deliver goods, usually yes. The WMS fulfills the order inside the warehouse; the routing platform sequences and delivers it. They connect over an API, with the WMS passing fulfilled orders and manifests to the routing layer.
The WMS hands off fulfilled, packed orders (often with barcodes or manifests) to the route optimization platform, which builds the routes, dispatches drivers, tracks delivery and captures proof. Status can flow back to the WMS over the API.
No. eLogii handles the delivery leg after the loading dock: optimization, driver app, live ETAs and proof of delivery. It integrates with a WMS over its REST API rather than managing inventory or picking.
eLogii starts from $3,000/mo. Pricing is operationally banded by the number of field staff and drivers, the modules you switch on and the complexity of your operation, rather than a flat per-seat fee.
Last updated: June 2026. Category definitions reflect standard functionality across major platforms in this space.
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