Same-day orders are geocoded as they land and grouped into driver routes by zone and time window. Each driver gets a WhatsApp manifest with ordered stops, navigation links and photo proof-of-delivery — packing 27% more drops into every route.
Typical results
5 min
Morning routing, down from 90
-64%
Late deliveries
100%
Drops with photo proof
Figures reflect typical results for this kind of automation.
The challenge
Every morning the owner spent an hour and a half sorting printed order slips into piles by neighborhood, guessing at drive times between stops. Routes crossed each other, chilled meat rode longer than it should, 14% of deliveries missed their promised window, and drivers phoned in constantly for addresses.
Before and after
Drops per route
+27%Morning route planning
−94%Late time-window deliveries
−64%The automation
We built a dispatch flow that geocodes every order at checkout and assigns it to a zone and time window. At cutoff, a Make scenario clusters the day's orders into balanced routes, sequences the stops, and sends each driver a WhatsApp manifest — customer names, ordered stops, one-tap navigation links. Drivers snap a proof-of-delivery photo at every door, which posts to the order and triggers the customer's 'delivered' message.
How it works
- 01
Order geocoded
Every same-day order is pinned to a zone and time window at checkout.
- 02
Routes cluster at cutoff
Orders group into balanced routes with stops sequenced in driving order.
- 03
Manifests hit WhatsApp
Each driver receives ordered stops, customer details and one-tap navigation links.
- 04
Photo at the door
Proof-of-delivery photos post straight onto the order record.
- 05
Customer in the loop
Automatic 'on the way' and 'delivered' messages replace the phone calls.
Starts from
- Same-day orders
- Geocoded addresses
Delivers
- Driver WhatsApp manifests
- Zoned, sequenced routes
- Proof-of-delivery photos
The impact
Routes now carry 28 drops instead of 22 — 27% more — and morning planning takes five minutes instead of ninety. Late deliveries fell from 14% to 5%, every drop has photo proof attached to the order, and driver phone calls all but disappeared.
Questions about this automation
How are orders grouped into routes?
At checkout each address is geocoded and given a delivery zone and time window. At the daily cutoff, orders are clustered by zone and window into routes balanced by stop count and driving time, then sequenced in driving order. A dispatcher can move a stop between routes before the manifests go out.
What do drivers need on their phones?
Only WhatsApp. Each driver receives a manifest with the stops in order, the customer's contact details, delivery notes and a one-tap navigation link for every stop. At each door the driver sends a photo back in the same thread, and the automation attaches it to the right order record.
How are customers kept informed during delivery?
When a driver starts the route, each customer on it gets an on-the-way message with the expected time window. The proof-of-delivery photo then triggers a delivered message automatically, which replaces most of the calls asking where an order is. This is a multi-step build, usually rolled out in stages.