A world-leading authority on forecasting consumer and design trends had the challenge of collecting, aggregating and reporting on millions of fashion products spanning multiple categories and sub-categories within 24 hours of them being published online.
Within this case study we explored the full scope of the challenge and helped implement an AI-driven solution that saw a decrease in costs and 85% reduction in time spent.
To read the full case study and the solution to this challenge.
Related Case Studies
-
01 /
Construction Materials and Project Contacts Mining Using NER
A leading UK construction intelligence provider, part of a £350m global information business, required detailed coverage of all current and upcoming UK construction projects, with accurate and full data at every stage of the project.
-
02 /
Enhancing News Relevance Classification Using NLP
A leading global B2B sports intelligence company that delivers a competitive advantage to businesses in the sporting industry providing commercial strategies and business-critical data had a specific challenge.