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Fashion & Lifestyle

India | Ecommerce
India | Ecommerce

A Fashion and Lifestyle Brand App Making eCommerce Stylish

We were responsible for:
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Fashion & Lifestyle App - Introduction

A Fashion & Lifestyle Brand Brand App

The client was a fast fashion eCommerce company established in the year 2001 with myriad options for men, women, and kids. They had established themselves as a global fashion destination with plenty of brick-and-mortar stores all across Australia.

They had good footfalls in their stores and wanted to improve their online presence by having a website and app.

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Challenges

To Rebrand the UI/UX, Deliver the Prototype in 1 Month & the App within 3 Months

After the changed ownership of the eCommerce fast fashion giant, the new business owner wanted to rebrand and needed a new eCommerce app and website as the previous ones were outdated.

They approached Ailoitte and wanted us to deliver a new website and app within 3 months. The delivery timeline that we decided upon was the deployment of a high-fidelity prototype within 4 weeks and the first MVP in 2 months of time. We ensured that the eCommerce app adhered to the best UX practices and we experimented with the logo, typography, colors, tone, layout, designs, etc. We built a scalable and efficient eCommerce App for Android and iOS with the following features.

  • Easy access and registration process
  • Simple search
  • Quick checkout
  • Push notifications
  • Security
  • Data sources integration
  • Advanced search options
  • Web portal for app management
  • Wish list button
  • 3rd party API integration
  • Payment gateway integration

Client Testimony

Fashion & Lifestyle

Fashion & Lifestyle

"One of my business associates told me about the competent services provided by Ailoitte for another project. We initially approached them for design services and later extended them for app development. Their deep insights and knowledge of our project were praiseworthy.
Their team was a proactive one from Day 1 with accurate and quality results for our eCommerce app. We were truly impressed and satisfied with the results and we highly recommend their services to anyone with a similar need. "

Fashion & Lifestyle App Main Features

Customer Panel We engineered the customer version of the eCommerce application with a wide range of immersive, engaging features.

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  • User Registration
  • Product Listing and Details
  • Product Wishlist
  • Advanced Search
  • Status Tracking & Order History
  • Multiple Payment Options
  • Live Chat

Technologies We Chose

Language - Swift 5.0

Mixpanel

VIPER

Unit Tests - XCTests

Push Notifications - Firebase FCM

Crash reporting - Crashlytics, Fabric, Chat - Custom Firebase

Networking - Moya

Layout SDK - SwiftUI

Maps - Google Maps

Language - Java

Analytics - Mixpanel

Architecture - MVP

Architecture - MVP

Push Notifications, Analytics, Chat - Firebase

Crash reporting - Crashlytics

Networking - Retrofit

Maps - Google Maps

Wireframes & designs - Sketch

Collaboration - Zeplin

Clickable prototype - InVision

User Journey map - Overflow

Languages & framework - NodeJS

Deployment - AWS

Database - MongoDB

File storage - Amazon S3

Media processing -AWS Lambda

Media processing - AWS Elastic Transcoder

Push notifications - Firebase FCM

Background processing - Redis

Language - Swift 5.0

Mixpanel

VIPER

Unit Tests - XCTests

Push Notifications - Firebase FCM

Crash reporting - Crashlytics, Fabric, Chat - Custom Firebase

Networking - Moya

Layout SDK - SwiftUI

Maps - Google Maps

Language - Java

Analytics - Mixpanel

Architecture - MVP

Architecture - MVP

Push Notifications, Analytics, Chat - Firebase

Crash reporting - Crashlytics

Networking - Retrofit

Maps - Google Maps

Wireframes & designs - Sketch

Collaboration - Zeplin

Clickable prototype - InVision

User Journey map - Overflow

Languages & framework - NodeJS

Deployment - AWS

Database - MongoDB

File storage - Amazon S3

Media processing -AWS Lambda

Media processing - AWS Elastic Transcoder

Push notifications - Firebase FCM

Background processing - Redis