Case Study: Super-Pharm achieves 20x faster product content automation with Future Mind

Super-Pharm automates 30,000 product attributes 20x faster with Future Mind

Super-Pharm, a multinational health and beauty retailer, needed to categorize and assign attributes for 30,000 products while implementing a new Product Information Management system. The manual process was overwhelmingly slow and threatened their project schedule. Future Mind proposed an automation solution using large language models (LLMs) to overcome this challenge.

Future Mind developed an AI-powered system using a GPT model to analyze existing product data and automatically assign the new attributes. This solution processed each product in seconds, achieving a 20x faster speed than manual work and substantially reducing the manual workload. The implementation provided Super-Pharm with significant cost savings, a faster time to market, and laid a foundation for future AI integrations.

Super-Pharm