Delivery Route Planning and Proof of Delivery Software
Delivery software built into your own system. Dispatchers draw territories on Google Maps, routes are grouped by territory, date and delivery window, drivers work from a driver app, and vehicles are tracked live. Driver photos become proof of delivery PDFs, per order or per batch, so every drop has a record.
What delivery route planning software covers
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AREATerritories drawn on Google Maps. Dispatchers draw delivery territories as polygons on Google Maps and attach zip codes and delivery days to each one. -
ROUTERoutes grouped by territory, date and window. The route planner groups orders by territory, delivery date and delivery window, then assigns drivers and vehicles. -
TRACKLive vehicle tracking. Dispatchers see vehicles live on a map, alongside the React Native driver app the drivers use. -
PODPhoto proof of delivery. Driver photos are compressed into Proof of Delivery PDFs, per order or merged for a batch. -
GEOAutomatic geocoding. A background job geocodes customer and order addresses, so orders land on the map without anyone looking up coordinates.
How we build delivery route planning and proof of delivery
Web planner and driver app on one backend
The dispatcher's planner is part of your web system, and the driver app is a React Native app on the same backend, so routes, stops and proof all point at the same orders. More in mobile application development.
Geocoding in the background
Addresses are geocoded by a background job as customers and orders are saved, not at the moment a dispatcher needs the map.
Proof of delivery as PDFs
Photos are compressed before they become PDFs, so proof per order or per batch stays small enough to store and send.
Built into the system you already run
Routes are planned from the orders already in your system, not exported to a separate routing tool and re-imported.
Delivery route planning in a live food delivery operation
- Delivery territories drawn as polygons on Google Maps, with zip codes and delivery days.
- A route planner that groups orders by territory, date and delivery window and assigns drivers and vehicles.
- A React Native driver app on the same backend, and live vehicle tracking on a map.
- Driver photos compressed into Proof of Delivery PDFs, per order or merged for a batch.
- A background job that geocodes customer and order addresses.
Where delivery route planning breaks
- Addresses that fail to geocode A common pattern. A typo, a missing unit number or a new street leaves an order with no coordinates, so it never appears on the map. Flagging orders the geocoder could not place, before routes are planned, keeps them from being missed.
- Orders that fall outside every territory A common pattern when territories are drawn by hand. A new address sits just outside every polygon, so no route picks it up. A check for orders with no territory catches them while there is still time to adjust a boundary or assign them by hand.
- Missing or oversized proof of delivery photos A common pattern. A driver forgets the photo, or full-size photos make the proof slow to store and send. Requiring the photo at the drop and compressing it before it becomes a PDF handles both.
- Routes planned before holidays or blocked hours are applied A common pattern. A route is built for a date or window that a holiday or blocked delivery hours later rule out. Applying the calendar rules before orders are grouped into routes, not after, avoids planning stops that cannot happen.
Delivery route planning and proof of delivery questions
Do you optimize stop order?
The route planner we built groups orders by territory, date and delivery window and assigns drivers and vehicles. It does not reorder stops with an optimization algorithm. Deeper optimization can be scoped on request.
How are delivery territories defined?
Dispatchers draw them as polygons on Google Maps and attach zip codes and delivery days to each territory.
Can we see where our vehicles are?
Yes. Vehicles are tracked live on a map that dispatchers can watch while routes are running.
What does proof of delivery look like?
Photos taken by the driver, compressed into a Proof of Delivery PDF for each order, or merged into one PDF for a batch.
Do we have to enter map coordinates for each address?
No. A background job geocodes customer and order addresses automatically.
Can it use the orders already in our system?
Yes. It is built into your own system, so routes are planned from the orders that are already there.
Who owns the code?
You do. It sits in your own codebase.
Related to delivery route planning
How do your drivers prove a delivery today?
Tell us how routes are planned and how deliveries are confirmed now. We will tell you what moving both into your own system would involve.