# Zenzop: delivery apps built for the last mile

> Building Zenzop's customer and rider apps 0 to 1 in React Native: live tracking, iOS Live Activities, and an ETA engine that got 28% more accurate.

Canonical URL: https://saifsiddiqui.in/work/zenzop/ (this is its markdown representation; the same URL serves HTML to browsers)
Other languages: hi: https://saifsiddiqui.in/hi/work/zenzop/ · kn: https://saifsiddiqui.in/kn/work/zenzop/ · ur: https://saifsiddiqui.in/ur/work/zenzop/ · te: https://saifsiddiqui.in/te/work/zenzop/ · ar: https://saifsiddiqui.in/ar/work/zenzop/ · hi-Latn: https://saifsiddiqui.in/hi-latn/work/zenzop/

**Role:** Built 0→1  
**Stack:** React Native, Swift, Google Maps, CodePush

**Links**

- iOS: https://apps.apple.com/in/app/zenzop/id6749267701

## Problem

Zenzop is an on-demand delivery app: food, groceries, medicines, and daily
essentials brought to your door. Delivery lives or dies on two things the customer
feels directly: do I know where my order is, and is the ETA honest. My job was to
build the apps that carry both, from scratch, for iOS and Android.

## Decisions

**Two apps, one job.** I built both sides end to end in React Native: the Shop app
the customer orders from, and the Rider app the delivery partner runs. Each shipped
to iOS and Android, so a small team could move on all four surfaces at once. Google
Maps handles real-time geolocation and route optimization, the spine both apps
share.

**Live tracking that survives a locked phone.** A rider's phone spends the whole
trip in a pocket. I built background live tracking so the rider's position keeps
flowing even when the app is not in the foreground, and on iOS I went native with
Swift to drive Live Activities: order status and rider progress on the Dynamic
Island and lock screen, so the customer sees where their food is without opening
anything. That is the difference between an app people check and an app people
trust.

**An ETA engine, not an ETA guess.** A delivery ETA is a promise. I built an engine
that computes it from distance matrices, live traffic, the rider's live position,
and historical averages for the route, rather than a naive straight-line estimate.
It improved ETA accuracy by 28%, the kind of number a customer feels on every
single order.

**Fast to load, fast to fix.** I refactored the apps for 30% faster load times and
wired up CodePush, so over-the-air updates ship straight to users without a full
store release. Fixes and tweaks land the same day, not the next review cycle.

**Docs so the API is not a bottleneck.** I wrote comprehensive Swagger API
documentation so the client and backend teams could build, test, and integrate
against a single source of truth instead of tribal knowledge.

## Outcome

{/* TODO(saif): metrics slot, installs / on-time delivery rate / order volume.
    Qualitative until real numbers land. */}

Both apps shipped on iOS and Android: a customer app and a rider app built from
nothing, with live tracking that holds up in a pocket, iOS Live Activities on the
Dynamic Island, and an ETA engine 28% more accurate than the baseline. The last
mile is the part of delivery a customer actually experiences, and these apps were
built to make it feel handled.

All work: [/work/](/work/)

---

Mohd Saif, Product Engineer. I build solutions, not dead software.
Email: saifmd238@gmail.com · GitHub: https://github.com/Saif-09 · LinkedIn: https://www.linkedin.com/in/mohd-saif-134076141/ · Résumé (PDF): https://saifsiddiqui.in/resume

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