Enterprise Retail System Enhancement for Accelerated Growth and Customer Engagement

The client is experiencing rapid business growth across multiple markets, which necessitates scalable and high-performance software solutions. Current systems struggle to keep pace, affecting product data management, personalization, and customer engagement, thereby risking decreased customer satisfaction, retention, and revenue growth. The challenge lies in developing, scaling, and integrating robust software solutions that meet high performance, security, and automation requirements to support expansion and improve operational efficiency.

A rapidly expanding retail company specializing in fashion and apparel, aiming to optimize product management, enhance multi-channel customer experiences, and scale digital solutions across multiple markets.

• Develop and implement a scalable Product Information Management (PIM) system capable of handling large product catalogs (~270K models and 1.5 million variations) with automated data processing via CSV uploads.
• Automate product data updates, including automatic word replacement, country-specific pricing, and discount calculations to streamline multi-regional management.
• Enhance system performance and response times, reducing product feed processing time from 24 hours to less than 1 hour.
• Create cross-platform mobile applications (iOS and Android) with native library integrations to ensure high performance, improved authentication, and seamless user experience.
• Develop and deploy marketplace mobile applications to support store registration and sales, with synchronized authentication and navigation flow across platforms.
• Improve user engagement features, including wish lists and enhanced navigation, to increase transaction completion rates and attract new users.
• Integrate marketing and analytics tools to optimize marketing strategies and improve customer insights.
• Ensure high system security, scalability, and availability to accommodate rapid growth and multiple regional deployments.

• A robust, open-source-based Product Information Management system capable of managing extensive product data, automating batch creation and updates, and supporting CSV import/export.
• Automated product search enhancements including country-specific language processing and word replacement for regional accuracy.
• Automatic discount calculation, product validation, and personalized offer adjustments based on user behavior post-purchase.
• High-performance, cross-platform mobile applications utilizing React Native, with native library integrations for improved functionality, authentication, and performance.
• Marketplace applications enabling store registration, sales, and synchronization with retail apps, including refined navigation and wish list functionalities.
• Optimized caching mechanisms (e.g., Redis) and optimized request handling to significantly boost response times and system throughput.
• Integration modules for various marketing tools and analytics platforms for targeted marketing, user engagement, and data-driven decision-making.

• Marketing tools for campaign management and analytics (e.g., ContentSquare, Webloyalty, Adjust, Exponea)
• Authentication systems for unified user access across multiple applications
• E-commerce platforms and payment gateways as per client requirements
• Product catalog and regional data sources for regional customization
• Notification and communication services for marketing and customer engagement

• System must support handling over 270,000 product models and 1.5 million variations with automated batch processing capabilities
• Reduce product feed processing time from 24 hours to under 1 hour
• Application performance to be 3 times faster post-optimization
• High system security standards to protect customer data and transactions
• High availability and scalability to support multiple markets and traffic spikes
• Fast and reliable user authentication, especially on iOS platforms

The implementation of a scalable, high-performance retail ecosystem is expected to significantly enhance operational efficiency, with automated product data management, improved application responsiveness, and personalized customer experiences. These improvements aim to increase monthly revenue, double the user engagement metrics, and reduce product data processing times from 24 hours to under 1 hour, thereby supporting rapid growth across markets and boosting overall competitiveness.