EL

CASE STUDY / 02

ONE Restaurants + Driver

ORDER & DELIVERY OPERATIONS

IN USE · SKLAVOUNOS MEAT

This presentation uses the ONE identity. The documented functions are used at Sklavounos Meat. Portfolio naming does not change the architecture or installed applications.

From order to delivery. The team organizes preparation and assigns the route in Restaurants. The driver sees their own stops in Driver and returns the delivery update.

CURRENT STATEIn use · Driver 1.3.2 source · Play status pending independent verification

00 / AT A GLANCE

The project at a glance.

PROBLEM

Order information must remain consistent from intake and preparation through assignment, routing and final delivery.

SOLUTION

Restaurants organizes orders and distribution, while the separate Android Driver application executes assigned routes and returns delivery updates.

IN USE BY

The operations team and approved drivers within an approved professional-customer order flow.

OPERATES ACROSS

The Restaurants web/backend system and a separate Android Driver application.

MY ROLE

Product design and UX, web/backend, Android, integrations and deployment.

STATUS

Restaurants is in production. Driver source version 1.3.2 / versionCode 10 is verified, but no independent evidence of the current public Play listing or store-delivered version has been retained.

01 / THE NEED

Delivery begins before the driver starts the route.

To close a professional order correctly, information must remain consistent from intake and preparation through assignment, routing and final delivery.

  • The operations desk needs a clear view of orders, states and assignments.
  • The driver needs only the assigned route, stops and permitted actions.
  • Location is collected only during an active route and completion returns as a controlled Restaurants state.

02 / IN PRACTICE

What changed in practice.

A shared order-to-delivery flow keeps the operations desk and drivers aligned without merging the two products.

  • The operations team organizes orders, states, priorities and assignments without parallel lists.
  • Drivers see only their assigned stops and permitted actions, and explicitly start precise location only during an active route.
  • Delivery completion returns to Restaurants so the status closes within the same operational trace.

04 / THE FLOW

From order to closeout.

Restaurants and Driver remain separate products while sharing one strictly defined operational sequence.

  1. 01

    01 / ORDER

    Intake and review

    Approved professional customers, products, pricing and a clear initial order state.
  2. 02

    02 / DESK

    Preparation and assignment

    The operations team organizes priorities, drivers and next steps without parallel lists.
  3. 03

    03 / ROUTE

    Route execution

    The driver sees assigned stops and explicitly starts precise location for the duration of the route.
  4. 04

    04 / CLOSE

    Delivery and update

    Completion returns to Restaurants so the status closes within the same operational trace.

ONE Orders is a third, customer-facing application and is not conflated with Restaurants or Driver in this case study.

05 / OPERATIONAL PROOF

A real workflow, not isolated screens.

The solution covers the daily transitions and access boundaries required by an actual delivery operation.

01

Production Restaurants

The web/backend system is in production for the order and distribution workflow.

02

Driver 1.3.2 source

Source version 1.3.2 / versionCode 10 is verified. The latest direct Play evidence retained locally covers restricted Internal testing, not an independently verified public listing.

03

Controlled access

There is no open driver registration. Assignments, routes and permitted data remain role-scoped.

04

Privacy by operation

Precise location is explicitly started by the user only for an active route, with a persistent foreground-service notice.

06 / SCALE & EVIDENCE

Measured scope at the engineering checkpoint.

These are dated engineering records and isolated-staging results. They are not presented as a production SLA or a measure of business impact.

Documented API routes
170Mapped routes at the verified local runtime/source checkpoint.
Regression tests
1,096 / 1,096The isolated regression suite completed without a failure.
Staging requests
48 / 48HTTP 200 with 12 concurrent workers, 0 errors and 0 responses in the 5xx range.
Driver source version
1.3.2Android versionCode 10 at the verified source checkpoint.

EVIDENCE WINDOW30 July – 14 August 2026

07 / TODAY

In use, with clear next boundaries.

Restaurants is a production system. Driver source version 1.3.2 / versionCode 10 is verified, but the current public Play listing and store-delivered version are not. Until direct store evidence exists, this case study shows no Play badge or public download link.

NEXT EVIDENCE

  1. 01Verify the exact version currently distributed by Google Play.
  2. 02Keep stable release evidence for every Android promotion.
  3. 03Add the next public-safe visual for driver assignment and delivery closeout.
  4. 04Publish reliability measures without real customer data.

08 / CONTACT

Does an operational workflow need a clearer system?

Describe the current process, the tools you use and the point where time, information or control is being lost. The first conversation clarifies the need and the boundaries of a solution.