Our Work

Brandig

Retail

Store Locator

Location-Based App

Interface Designs

Web Applications

Mobile Applications

MVP Development

next.js

react native

adonis.js

Brandig – Location-Based Store Locator with Discounts and Offers
Brandig – Location-Based Store Locator with Discounts and Offers

Building a Location-Based Store Locator with Discounts and Offers

Brandig is a location-based store locator app we built for a Hyderabad-based client. It helps users discover nearby fashion outlets, browse current discounts and offers, and connect with their favorite brands — all based on their real-time location. Think of it as a store finder that also shows you what's on sale right now at shops near you.

The platform works for both sides: shoppers find deals near them, and store owners onboard their outlets, publish offers, and reach local customers. We built both a Next.js web app and a React Native mobile app — delivered in just 3 months.

Brandig store locator app showing nearby fashion outlets with offers

What the Client Needed

The client wanted a platform where fashion-focused retail stores could list their outlets, post current discounts and offers, and attract foot traffic from nearby shoppers. For users, it needed to feel like opening an app and instantly seeing what deals are available at stores around them — with distances, reviews, and live offers.

The challenge was balancing three types of users: shoppers browsing deals, store owners managing outlets, and brands overseeing their presence. Each group needed different features, and the whole thing needed to be built and launched in 3 months — web and mobile.

Store finder app showing discounts and distance for nearby outlets

How We Built It

Location-Based Store Discovery

The core feature: users open the app, and it shows nearby stores based on GPS location. Each listing shows the exact distance, current offers and discounts, user ratings, and store details. Users can filter by brand, category, or distance — so if you're looking for a specific type of store or just want to see what's on sale within 2km, the app handles both.

GPS-based nearby store discovery with live discounts and offers

Discounts and Offers Management

Store owners can publish live offers, flash sales, and discount campaigns directly from their dashboard. These offers appear instantly on the shopper-facing side, tagged with the store's location. When a user is nearby, they see what's on sale right now — not last week's deals. This real-time offers system drives foot traffic to physical stores.

Store owners publishing live discounts and flash sales on Brandig

Social Shopping Experience

Brandig isn't just a store finder — it has social features too. Users can follow their favorite brands, write reviews for stores they've visited, and connect with other shoppers. This social layer creates a community around local shopping, where users share their experiences and discover stores through other shoppers' recommendations.

Social shopping features — follow brands, write reviews, connect with shoppers

Cross-Platform: Web + Mobile

We built the web app with Next.js and the mobile app with React Native — one codebase for both iOS and Android. The backend runs on Adonis.js with a microservices architecture that handles location queries, real-time notifications, and offer management. Both web and mobile deliver the same seamless experience.

Brandig cross-platform app — Next.js web and React Native mobile

Results

We delivered the entire platform — web app, mobile app, store management dashboard, and admin panel — in 3 months. Fashion stores could onboard and start publishing offers on day one, and shoppers had a fast, location-aware app for discovering deals near them. The social features drove organic engagement as users started reviewing stores and following brands.

Brandig platform launch — store locator with offers delivered in 3 months

Frequently Asked Questions

How much does it cost to build a store locator app with offers?

A location-based store locator app with discounts, social features, and both web and mobile versions — like Brandig — typically costs between ₹10–25 lakhs depending on the number of features and platforms. Brandig included a Next.js web app, React Native mobile app, store management dashboard, and admin panel, all delivered in 3 months.

How does a location-based store finder app work?

The app uses the user's GPS location to find nearby stores and show them on a map or list. Each store listing includes distance, current discounts, user reviews, and store details. Store owners manage their listings and publish offers through a separate dashboard — and those offers appear in real time for nearby shoppers.

Can store owners publish live discounts and offers?

Yes. Store owners get their own dashboard where they can create, update, and manage offers — flash sales, seasonal discounts, or ongoing promotions. These appear instantly on the shopper-facing app, tagged with the store's location. This drives foot traffic because shoppers see what's on sale right now at stores near them.

What tech stack do you use for location-based apps?

We used Next.js for the web app (server-side rendering for SEO and speed), React Native for the mobile app (cross-platform, one codebase for iOS and Android), and Adonis.js with a microservices architecture for the backend. The backend handles location queries, real-time notifications, and offer management.

Can you build both a web app and a mobile app?

Yes. For Brandig, we delivered both a full Next.js web application and a React Native mobile app (iOS and Android) within the same 3-month timeline. Both share the same backend, so data stays consistent across platforms.

How long does it take to build a store locator and deals app?

Brandig was delivered in 3 months — including the web app, mobile app, store management dashboard, and admin panel. The timeline depends on the feature set, but for a location-based platform with social features and multi-role dashboards, 3–5 months is typical.

Get in touch

Interested in something like Brandig? Our team can help you build or improve your own project.