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JaFolders Mobile App Enhancement & Expansion: Smart Shopping Platform

appunite.com

Retail

eCommerce

Advertising & marketing

Challenges

JaFolders faces challenges in maintaining high system capacity (handling 10k queries/sec and large traffic), optimizing infrastructure costs (especially image storage and delivery), and ensuring robust PDF parsing capabilities across varied file formats to extract key promotional data.

About the Client

JaFolders is a mobile application provider specializing in digitizing paper advertising and delivering location-based promotional information to shoppers in the Netherlands and Belgium.

Objectives

Enhance the mobile application to support increasing user base and maintain high performance.
Optimize infrastructure costs related to image storage, delivery, and display.
Improve the accuracy and reliability of PDF parsing to extract critical promotional information.
Expand the application's geographic reach and feature set to meet evolving market demands.

Functional Requirements

Geolocation-based promotion discovery
Push notification delivery of new offers
Robust PDF parsing for extracting promotional details
User account management and personalization
Search and filtering functionality for promotions
Offline access to previously viewed promotions
Integration with map services for visual location representation

Preferred Technologies

Kubernetes (for infrastructure scalability)

Amazon S3 (for image storage)

PostGIS (for geospatial data management)

Cloud-based infrastructure (AWS preferred)

Integrations Required

Mapping APIs (e.g., Google Maps, Mapbox)
Push notification services (e.g., Firebase Cloud Messaging)
Analytics platforms (e.g., Google Analytics)
Marketing automation platforms

Non-Functional Requirements

High scalability to handle increasing user traffic (up to 10k queries/sec)
Low latency for fast content loading and promotion discovery
High availability and reliability
Secure data storage and transmission
Cost-effectiveness of infrastructure and operations

Expected Business Impact

This project is expected to result in improved user engagement, reduced operational costs through optimized infrastructure, increased revenue through targeted promotions, and enhanced customer satisfaction due to a more efficient and user-friendly shopping experience. The improved PDF parsing will enable a more comprehensive and accurate data set for promotional targeting.