Automated Product Data Management and Workflow Optimization for E-commerce Retailer

The client faces complexities in updating and maintaining vast product information from numerous merchandisers due to manual, error-prone processes. They need a faster, automated system to upload, manage, and ensure high data accuracy across extensive product catalogs. Additionally, they seek to extend and optimize their existing technology foundation to support rapid growth and reliable operations.

A large-scale online retailer specializing in bags and travel accessories, offering over 1 million products across multiple brands, aiming to enhance operational efficiency and accelerate time-to-market.

• Reduce manual intervention in product data updates, aiming for near-perfect accuracy (99.9%) in product information.
• Increase efficiency of bulk product image uploads by at least 4 times.
• Streamline workflow processes to accelerate time-to-market for new product listings and updates.
• Improve application performance, targeting a performance increase of over 3x.
• Implement automation and integrations to decrease operational errors and mismatches in product data.
• Support scalable growth through flexible technological architecture and efficient knowledge management.

• Web-based interface for bulk uploading and updating product data across multiple categories and SKUs.
• Predefined data formats and structure validation to ensure accuracy, prevent duplication, and facilitate error reduction.
• High-speed image upload functionality, at least 4x faster than manual uploads.
• Secure API frameworks for large data extraction and updates, including integration with external UPC and barcode services.
• Automated testing scripts to validate UI and data workflows during updates.
• Migration tools for legacy system data conversion and application modernization, including database conversions (e.g., SQL Server to Oracle).

• UPC and product code retrieval systems
• Legacy data sources and applications for migration
• Internal supply chain and inventory systems to update product information in real time

• Application performance improved by over 3x compared to previous systems
• Data accuracy of 99.9% in product information updates
• Secure data transmission and storage frameworks ensuring data integrity
• Scalable architecture capable of supporting increasing product volumes and user load
• Rapid deployment cycles with minimal business disruption

The implemented system is projected to significantly decrease manual workload and errors in product data management, resulting in a reduction of operational expenses. It will enable faster onboarding of new products and franchises, accelerating go-to-market times by up to 3x. Furthermore, the automation and improved workflows are expected to enhance vendor productivity, increase data accuracy to 99.9%, and support continuous scalable growth for the retail operation.