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Dostava — an AI delivery logistician for local businesses

Delivery dispatch platform

A delivery dispatch platform for local businesses
IndustryA delivery dispatch platform for local businesses
WorkDelivery dispatch platform
ScopeDispatcher panel + courier account + customer tracking
Timeline3 weeks
StackHTML / CSS / JavaScript / SVG
Year2026
01

CHALLENGE

What the project had to solve.

In local businesses — restaurants, shops, and pharmacies — a dispatcher manages delivery manually through phone calls, messengers, and sticky notes. Couriers are not visible on a map, orders are assigned by guesswork, and routes are inefficient. The result is delays, empty mileage, and complaints from customers who do not know where their order is.

02

SOLUTION

What we built and why.

We built a dispatch platform: an AI logistician automatically assigns an order to the nearest available courier and builds the route; the dispatcher sees a live city map with couriers and ETAs; the courier manages the task from a phone and closes it with photo confirmation; and the customer follows the courier in real time through a link sent by SMS. Screens: dispatcher panel → courier account → customer tracking.

PROJECT MATERIALS

Screens and interactions, not mock claims.

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03 · RESULT

What changed after the launch.

Delivery became managed rather than reactive: average delivery time stays at 31 minutes, 96% of orders arrive on time, empty mileage fell by about a quarter, and the dispatcher handles more orders without additional staff. Customers see the courier on the map and have stopped asking, “where is my order?”

0131 min

Average delivery time

0296%

On-time deliveries

03−22%

Empty mileage

LIVE DEMO

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DISCUSS AUTOMATION

Want to automate a similar process?

Describe the current process and where manual work slows it down. We will map the steps, systems, and a practical first stage.

  • A reply within one business day
  • A focused first step
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