Live order tracking
Customer and ops share a journey from placed to delivered.
Hyperlocal delivery across food, grocery, and more
A hyperlocal delivery network — customer, driver, vendor, and admin — for food, grocery, and on-demand.
Everything a client would actually use — not a feature dump, the operating pieces of the system.
Customer and ops share a journey from placed to delivered.
Offers, attendance, wages, COD collection, and QR deposit.
Live orders, catalog, timings, and medicine prescription review.
Click any screen to open it full size. These are the live product surfaces — dashboards, flows, and themes.
A regional delivery company needed more than a customer app — dispatch, COD, vendor ops, and city rules had to share a backend.
Four clients on one NestJS API: Flutter for users, drivers, and vendors, plus a React admin for zones, surge, and payouts.
Orders move from cart to rider with live tracking, wallets, and city-level configuration.
Customer, driver, vendor, and admin each needed a real product, not a reskin.
Fees, surge, zones, and dispatch rules change by city and vertical.
COD, rider deposits, and vendor payouts needed a cash trail.
Food, grocery, electronics, medicine request, pick-and-drop, wallet, and tracking.
KYC, live offers, COD, earnings, store inventory, and prescription review.
NestJS + Redis + sockets, with a React admin for orders, zones, and master config.
apps on one API
order tracking
config and surge
Customer, rider, vendor, and admin see one ticket.
New cities can launch without a rebuild.
“DeliveryLo works in a city because the rider, the store, and the customer are on the same order — not three apps pretending.”
The core engagement ran for a multi-app platform program. Discovery and architecture came first, followed by incremental releases and a structured transition into continuous improvement.
Flutter, GetX, NestJS, MongoDB and Redis provided the best balance of team fit, ecosystem maturity, security, delivery speed and long-term operating cost. Every major choice was documented through architecture decisions.
Threat modeling, least-privilege access, automated security checks and observability were built into delivery. Load and failure testing validated the critical paths before launch.
Appzotic provided launch command, operational monitoring, knowledge transfer and a prioritized evolution roadmap. The client could choose continued product support or full internal ownership.
Bring the workflow, the constraint, or the screenshot of what you wish existed. We’ll shape the system around it.