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Development of ChatGPT-Powered Food Ordering Application
  1. case
  2. Development of ChatGPT-Powered Food Ordering Application

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Development of ChatGPT-Powered Food Ordering Application

plavno.io
eCommerce
Food & Beverage
Technology

Customer Experience and Operational Efficiency

The client faces challenges in providing customers with immediate and accurate responses to their food ordering queries. Outdated menu information leads to customer frustration. Existing apps often lack natural language understanding and struggle to provide personalized recommendations, resulting in a suboptimal user experience and potential order inaccuracies.

About the Client

A newly established startup aiming to revolutionize the food delivery experience by integrating AI-powered conversational technology.

Project Goals

  • Develop a mobile application with integrated ChatGPT functionality for enhanced customer interaction.
  • Implement a dynamic menu system for real-time updates from restaurants.
  • Improve customer satisfaction through personalized recommendations and a seamless ordering process.
  • Ensure secure and efficient payment processing.
  • Enable real-time order tracking for enhanced transparency.

Functional Requirements

  • ChatGPT-powered chatbot for order assistance and FAQs
  • Dynamic menu management system for restaurants
  • Real-time order tracking
  • Personalized food recommendations
  • Virtual tipping functionality
  • Secure payment gateway integration

Preferred Technologies

ChatGPT API
React Native (for cross-platform mobile development)
Node.js (for backend)
TypeScript
RESTful APIs

Integrations Required

  • Payment gateway (e.g., Stripe, PayPal)
  • Restaurant management system APIs (for menu updates)
  • Mapping service API (for order tracking)

Non-Functional Requirements

  • Scalability to handle a growing user base
  • High performance and responsiveness
  • Robust security measures to protect user data
  • API integrations for third-party services

Expected Business Impact

This project is expected to significantly improve customer satisfaction, increase order accuracy, enhance operational efficiency for restaurants, and drive user engagement, leading to increased revenue and market share for the food delivery startup.

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