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Team composition:

  • 2 Backend engineers
  • Front-end engineer
  • Machine learning engineer
  • QA
  • PM
  • UX/UI

Timeline:

9 month

System structure:

  • Cloud server 
  • Admin interface 
  • iOS application
  • Android application

Industry:

Delivery

Challenge

Our client wanted to create an ordering application that would cover 3 major scenarios: in-venue order, preorder, and delivery. The system was also to be fully integrated with the client’s POS system in order to receive the order receipt confirmation, fetch and keep synchronized menu data in order to optimize the management effort.

The client granted us quite a lot of freedom not only in technological decisions but also in the overall project approach and management. There were two major goals for us to keep in mind: provide an opportunity for upselling and cut down the operating costs and stuff routine for the venues’ administration.

SOLUTION TRAVELING

Our client wanted to create an ordering application that would cover 3 major scenarios: in-venue order, preorder, and delivery. The system was also to be fully integrated with the client’s POS system in order to receive the order receipt confirmation, fetch and keep synchronized menu data in order to optimize the management effort.

The client granted us quite a lot of freedom not only in technological decisions but also in the overall project approach and management. There were two major goals for us to keep in mind: provide an opportunity for upselling and cut down the operating costs and stuff routine for the venues’ administration.

Technologies That Will Move You to The Top

Our Technologies

React Native

PHP

Node.js

AWS

JavaScript

Screens

The key system features:

  • POS integration with menu data synchronization and single order confirmation point
  • User-friendly mobile app for ordering
  • Personalised suggestions based on user behavior analytics
  • POS integration with menu data synchronization and single order confirmation point
  • User-friendly mobile app for ordering
  • Personalised suggestions based on user behavior analytics

Solution

We started with a very thorough and careful business analysis in order to get a detailed understanding of all the operations in the customer’s venues. We also interviewed local managers and analyzed current POS and its integration possibilities. This allowed us to build a very accurate flow of the application that did not only eliminate the extra load on the staff but also unleashed quite a number of resources that had a serious impact on the overall system’s ROI.

The system comprises React Native app for mobile and Android, Web interface for system management and system backend, and is integrated with payment gateway and POS system. We used the Django framework for the web interface in which the system administrator can add new venues to the system, manage venues details, view client’s info and orders, send promo messages and view analytics. The usage of Django standard mechanisms helped us to save a lot of resources so we could better focus on the mobile user interface.


Our technology and research team leveraged the power of machine learning and formed suggestions on how personalized we can get with our users thus improving the overall responsiveness and convenience for them to interact with the system, this approach improved our client’s requirement of having a higher retainment rate and customer satisfaction.