Situation
The client, a global furniture retailer, was facing significant market changes driven by evolving consumer expectations and the continued growth of online retail. Their existing third-party solution for monitoring the competitive landscape lacked scalability and did not provide sufficient coverage across all markets.
Valcon proposed an AI-driven solution to improve the quality, scalability and flexibility of competitive intelligence across the organisation.
Approach
Valcon developed a solution that uses web scraping to collect market data, extract relevant product information and match competitor products to internal product portfolios using state-of-the-art AI models.
A custom front-end application was also developed to enable human feedback and validation of suggested product matches, supporting continuous improvement of the matching process.
Scalability and performance were further enhanced by simplifying the model architecture and leveraging modern database technologies.
Results
The solution enables the client to gain timely and scalable insights into the competitive landscape, helping the business respond more effectively to market changes and optimise pricing strategies across multiple markets.
Due to the success of the initiative, a global rollout is planned over the coming years.
Valcon’s end-to-end AI and retail sector expertise was instrumental in delivering a scalable, production-ready solution using modern cloud and AI technologies.
