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Mobile Application for In-Store Customer Engagement and Loyalty Enhancement
  1. case
  2. Mobile Application for In-Store Customer Engagement and Loyalty Enhancement

Mobile Application for In-Store Customer Engagement and Loyalty Enhancement

orangesoft.co
Retail

Identifying Challenges in Customer Engagement and Store Traffic Optimization

The client is experiencing limited customer engagement within stores, low conversion rates, and insufficient use of digital channels to promote loyalty programs and cross-sell products. They seek to leverage mobile technology to enhance in-store navigation, increase impulse purchases, and foster stronger brand loyalty by integrating digital touchpoints into the shopping experience.

About the Client

A large-scale retail chain aiming to improve customer experience, increase in-store engagement, and boost sales through innovative digital solutions.

Goals for Enhancing In-Store Engagement and Customer Loyalty

  • Increase customer engagement and loyalty program participation through a dedicated mobile application.
  • Drive social media promotion by enabling customers to share in-store activities and check-ins.
  • Organize in-store traffic and promote attractions or sections via app-based ticketing and notifications.
  • Enhance the in-store experience with interactive features such as quizzes about the brand or products.
  • Improve store navigation and product discovery using in-store mapping technologies.
  • Gather analytics on customer behavior and store interactions for operational insights.

Core Features and Functional Capabilities of the Proposed System

  • In-store check-in capability utilizing proximity technology (e.g., Bluetooth beacons) to record customer visits and enable bonus point accrual.
  • Social media integration for sharing check-ins and promotional posts to promote brand visibility.
  • Gamified quizzes related to the brand, products, or store history, with points earned for correct answers.
  • Points system allowing customers to redeem bonus points for attraction or attraction tickets within the store.
  • Real-time in-store mapping and navigation assistance based on beacon technology for improved product discovery.
  • Display of location-based offers and promotions aligned with the customer's current position in the store.
  • Internal analytics dashboard for tracking customer movement, engagement, and offer performance.

Preferred Technologies and Architectural Approaches

iOS SDK (Objective-C or Swift) for iOS app development
Android SDK (Java or Kotlin) for Android app development
Beacon technology (e.g., iBeacon, Bluetooth Low Energy) for proximity sensing and in-store navigation
Mobile SDKs such as UIKit for iOS and Retrofit for Android development
Backend server implemented with Python Flask or similar frameworks
Relational database system, such as MySQL, for storing user data, points, and analytics
Use of SDKs for navigation and beacon communication (e.g., Navigine SDK)

Necessary External and Internal System Integrations

  • In-store beacon infrastructure for proximity detection and navigation assistance
  • Social media platforms API for content sharing
  • Backend analytics and data collection systems
  • Loyalty management system for points tracking and redemption
  • In-store ticketing system for attraction access

Key Non-Functional System Requirements

  • Scalability to support a large number of concurrent users across multiple store locations
  • High performance with real-time responsiveness for beacon detection and user interactions
  • Data security and privacy compliance concerning user location and engagement data
  • Reliability and fault tolerance, ensuring consistent operation during peak hours
  • Intuitive user interface design to maximize engagement and ease of use

Projected Business Impact and Expected Outcomes

The implementation of the mobile application is expected to significantly enhance customer engagement within stores, leading to increased impulse purchases and longer store visits. The project aims to boost in-store conversion rates by promoting impulse buying activities, leveraging location-based offers, and encouraging social sharing. Overall, these efforts are projected to improve sales performance, customer loyalty, and brand visibility, with measurable increases in store traffic and engagement metrics.

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