AI-powered automation of product data management and enrichment

Before implementation, Display Me faced several major challenges:

• More than 20 hours per week spent on manual product data updates.

• 900+ hours annually dedicated to managing product information.

• Need for synchronization across 6+ supplier sources, 7+ marketplaces, and the e-shop.

• Inability to scale beyond 350 SKUs without increasing personnel costs.

• An ambitious goal of reaching 1000+ SKUs by the end of 2024 was threatened by manual processes.

Display Me uses Boost.space as an AI-driven platform for automated product data management. A unified data layer connects ERP, the e-shop, and marketplaces, ensuring fast two-way synchronization. AI agents automatically import products from suppliers, generate descriptions, optimize SEO, and edit images. Integration with Baselinker and other key tools is secured via Boost.space’s integration layer.

Product managers, e-shop administrators

6

OpenAI API, GPT-4V, Azure AI API, Meta Llama 4, Qdrant, MariaDB, LangChain, Cursor

Head of business unit

Technical support / consultation only

The client previously spent ~1000 hours annually on manual data management, sharing, and uploading from 6+ supplier sources, with updates across 7+ marketplaces and e-shops. Scaling SKUs was impossible without increasing personnel costs. Boost.space introduced two-way synchronization across ERP, the e-shop, and marketplaces, automated product imports with immediate AI enrichment (description generation, SEO optimization, image editing), and connected data to other key platforms for seamless transfer.

Hours spent managing products: previously 900+ annually, now <100 annually.
Number of SKUs: 350 → 1000+.
Manual interventions: previously 90%, now almost fully eliminated.

Client collaboration is a very important factor for success.

Before implementation, conduct a thorough discovery phase to ensure the delivered solution truly solves the client’s problems.