trixky / lvmh_academy

Implementation of an in-store customer identification application aimed at streamlining the customer experience using the phone's native Wallet system, QRcode and Passport scanner.

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LVMH Academy

Implementation of an in-store customer identification application aimed at streamlining the customer experience using the phone's native Wallet system, QRcode and Passport scanner.

Demo gif

This project was carried out as part of an inter-school bootcamp (HEC x 42 x Strate) at HEC Paris campus in partnership with LVMH with the aim of creating a potential startup aimed at improving the customer experience in stores. (January 2024)

Features

  • Scan the customer's passport to extract his information.
  • Create a customer account.
  • Generate a QRcode for add the customer's card to his Wallet.
  • Scan the QRcode to identify the customer from his Wallet.
  • Access customer information by seller after identification.

Scenarios

Customer creation

  • The customer arrives at the store.
  • The customer is asked to present his passport (not required).
  • The seller scans the passport.
  • The customer is asked to enter his email address (not required).
  • The customer is asked to enter his phone number (not required).
  • The seller creates the customer's account.
  • The seller generates a QRcode for the customer's card.
  • The customer scans the QRcode to add the card to his Wallet.

Customer identification

  • The customer arrives at the store.
  • The customer presents his Wallet.
  • The seller scans the QRcode.
  • The customer is identified.

Setup

About

Implementation of an in-store customer identification application aimed at streamlining the customer experience using the phone's native Wallet system, QRcode and Passport scanner.


Languages

Language:Dart 34.0%Language:C++ 19.9%Language:CMake 16.8%Language:TypeScript 8.1%Language:Svelte 8.0%Language:HTML 4.6%Language:Ruby 2.4%Language:CSS 2.2%Language:Swift 1.5%Language:C 1.2%Language:JavaScript 1.1%Language:Kotlin 0.1%Language:Objective-C 0.0%