Problem Statement

As the retailer expanded its digital presence and partnered with Asia’s leading online marketplace, managing massive volumes of product information across 100+ brands became increasingly complex. Disconnected systems, inconsistent product data, and manual processes delayed product launches and impacted sales performance.

Key Challenges

• Massive Data Handling

  Legacy ERP systems couldn’t efficiently process large volumes of product and attribute data, creating scalability issues.

• Unorganized Product Content

  Managing product information and media assets for 100+ brands was cumbersome and error-prone.

• Inaccurate Product Descriptions

  Data inconsistencies led to incorrect or incomplete listings on the eCommerce marketplace.

• Slow Product Publishing

  Manual uploads and lack of automation increased time-to-market and operational costs.

Solution Implemented

• Automated Data Synchronization: Integrated ERP and eCommerce systems through APIs for real-time data flow.

• AI-Driven Data Enrichment: Used AI-enabled rules and workflows to validate, clean, and enrich product data at scale.

• Unified Product Repository: Centralized product, asset, and attribute management across all brands.

• Streamlined Publishing Workflow: Enabled teams to enrich and publish 10,000+ products directly from Pimcore with accurate details.

• Custom Dashboards: Built intuitive dashboards for Master Data and Sales Channel management to simplify collaboration.

Business Impact

• 30% faster time-to-market,

  enabling quicker product onboarding and promotions.

• 75,000+ media assets and 200,000+ data objects

  efficiently managed in a centralized system.

• Improved product accuracy

  and consistency across multiple sales channels.

• Reduced manual effort and cost

  through automated workflows and AI-based data validation.

• Enhanced customer experience

  with accurate, enriched product content leading to higher conversion rates.