Case Study: TNG Shopper scales AI product enrichment with Empromptu

TNG Shopper - Customer Case Study

TNG Shopper, a retail technology company, helps large multi-location retailers by generating custom websites for each product and store. Their challenge was an inability to scale their existing system to meet new enterprise demand, as they were throttled by the need to manually create high-quality, localized product content for thousands of locations and products daily. They partnered with the vendor Empromptu to find a solution without expanding their engineering team.

Empromptu implemented an enterprise-grade Automated Product Content Enrichment System to handle the AI-powered processing. The solution from Empromptu included agentic infrastructure and LLM ops tooling, enabling TNG to process 50,000 product requests daily across multiple languages while maintaining quality through human-in-the-loop feedback. This allowed TNG to scale its operations seamlessly, accept large new clients without worrying about capacity, and keep its engineering team focused on core product innovation instead of building AI orchestration from scratch.

TNG Shopper

Daniel Manzela

Founder