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Development of a Geolocation-Driven Digital Promotional Platform for Retail Shoppers
  1. case
  2. Development of a Geolocation-Driven Digital Promotional Platform for Retail Shoppers

Development of a Geolocation-Driven Digital Promotional Platform for Retail Shoppers

appunite.com
Retail
Advertising & marketing

Identifying Challenges in Traditional Retail Promotions and Customer Engagement

The client faces difficulties in efficiently managing and distributing promotional content, engaging customers with timely offers, and leveraging location data to drive in-store sales. Existing paper-based advertising methods are outdated, costly, and lack interactivity, limiting the ability to provide personalized shopping experiences in the competitive retail landscape.

About the Client

A large retail chain aiming to digitize in-store promotional materials and enhance personalized marketing through mobile and web applications.

Goals for a Next-Generation Digital Promotional Platform

  • Digitize and centrally manage promotional content to replace paper-based catalogs and flyers.
  • Implement advanced geolocation capabilities to deliver real-time, location-specific offers to users in-store or nearby.
  • Support high user traffic with scalable infrastructure, targeting hundreds of thousands to millions of users per month.
  • Optimize storage and delivery of multimedia content, such as images and PDFs, to ensure fast load times and cost efficiency.
  • Enable robust PDF parsing to extract promotional data and link it seamlessly with geolocation information.
  • Improve user engagement through personalized push notifications about relevant deals and offers.
  • Ensure a highly scalable and secure platform capable of handling tens of thousands of queries per second.

Core Functional Requirements for a Retail Promotional Digital Hub

  • Responsive web and mobile apps for iOS and Android platforms.
  • Geolocation integration to identify user location and deliver relevant promotions.
  • Real-time push notifications for new offers and updates.
  • Content management system supporting image and PDF storage and retrieval.
  • Advanced PDF parsing tools to extract actionable promotional data and URLs from diverse formats.
  • Content delivery optimization using caching, image resizing, and quality adjustment.
  • Database architecture utilizing materialized views, spatial extensions (e.g., PostGIS), table partitioning, and optimized indexing.
  • Containerized infrastructure on Kubernetes for scalability and resilience.
  • Integration with external storage services (e.g., cloud object storage) for multimedia content.

Desired Technologies and Architectural Approaches

Kubernetes for scalable infrastructure
Amazon S3 or equivalent cloud storage for content persistence
PostgreSQL with PostGIS for spatial queries
Advanced database indexing and table partitioning
Caching layers for image resizing and quality control
Custom scripts and abstraction layers for PDF parsing

Necessary External System Integrations

  • Cloud storage services for multimedia content
  • Location services for real-time geolocation tracking
  • Push notification services for user engagement
  • Content management and analytics tools

Performance, Scalability, and Security Requirements

  • Support for up to 10,000 queries per second
  • Support for over 600,000 monthly active users
  • Rapid content delivery with optimized load times
  • Cost-efficient storage and delivery solutions (goal: ~90% cost reduction)
  • High system availability and fault tolerance
  • Strong data privacy and security compliance

Anticipated Business Impact of the Promotional Platform

The implementation of this digital promotional platform is expected to significantly enhance customer engagement through personalized, location-based offers, leading to increased in-store traffic and sales. Targeting a high-performance, scalable infrastructure will support hundreds of thousands of monthly users, while optimized content management and delivery will improve load times and user experience. Overall, these improvements aim to reduce promotional content costs by approximately 90%, streamline marketing operations, and foster smart shopping experiences across the retail network.

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