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Development of a High-Load Prediction and Gamification App for a Hospitality Chain
  1. case
  2. Development of a High-Load Prediction and Gamification App for a Hospitality Chain

Development of a High-Load Prediction and Gamification App for a Hospitality Chain

celadonsoft.com
Food & Beverage
Consumer products & services

Identify Challenges in Customer Engagement and Data Management for Rapid Prediction Applications

The client faces the need to develop a prediction-based interactive platform that can handle high server loads, integrate third-party data APIs with inconsistent formats, and motivate customer participation through gamification and reward incentives, all within a strict project deadline tied to a marketing campaign.

About the Client

A large, regionally or globally operating fast-food restaurant chain seeking to enhance customer engagement through predictive games and reward systems.

Objectives for Implementing a Scalable Prediction and Rewards System in a Hospitality Context

  • Develop a scalable web and mobile application capable of supporting over 500,000 predictions per event and concurrent user access exceeding 10,000 users.
  • Implement a leaderboard system to display top predictors based on match outcomes.
  • Enable user group formations for personalized competitions and social sharing capabilities via social media links.
  • Integrate with existing main ordering and loyalty systems to allow points earned in predictions to be redeemed as coupons or discounts.
  • Ensure rapid development and deployment within a 3-month timeline to support an ongoing marketing campaign.

Core Functional Requirements for a High-Performance Prediction and Rewards Platform

  • Match outcome prediction module supporting large volumes of concurrent bets.
  • Real-time leaderboard reflecting prediction accuracy and points earned.
  • User group creation and management with invitation codes and social media sharing.
  • Points that can be exchanged for coupons or discounts within the main app.
  • Dashboard for users to view match results, leaderboard standings, and their accumulated points.

Technical Stack and Architectural Preferences for a Scalable Prediction Application

React for web frontend development
React Native for cross-platform mobile app development
Cloud-based backend infrastructure supporting high concurrency
Robust API integration patterns to handle third-party match result data with inconsistent formats

Necessary External System Integrations for Data and Rewards

  • Third-party match result APIs with adaptable data parsing
  • Existing loyalty and ordering systems for reward redemption
  • Social media platforms for social sharing features

Key Non-Functional Requirements for Performance, Security, and Reliability

  • System must support over 500K bets per match with minimal latency.
  • Concurrent user support exceeding 10,000 users with real-time updates.
  • High availability and fault tolerance to ensure seamless user experience during peak loads.
  • Data security protocols for user data, prediction data, and transaction integrity.

Projected Business Outcomes from Implementing the Prediction and Rewards Platform

The new prediction app aims to significantly boost customer engagement and participation rates, leading to increased order volume and brand loyalty, with targeted handling of over 500K predictions per event and supporting over 10,000 active concurrent users, supporting a high-impact marketing campaign.

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