Case Studies


QU incorporates trend and influencer data from leading reference markets to build a more accurate picture of category specific trends impacting future buying then uses this data to build better forecasts.
Retail Case StudyRetail Case Study #2

Consumer Goods

QU brings the real time voice of the consumer into forecasting, using AI technology to marry sales data with millions of consumer buying signals from hundreds of global, geo and category specific sources
Consumer Goods Case Study


QU AI forecasting identifies with 80% plus accuracy high potential new games in terms of both downloads and in-game transactional revenues allowing developers to plan better and publishers to secure rights early.
Gaming Case Study


QU sees the big picture, using AI to analyse not only historical sales data but also current consumer demand signals, resulting in a more complete market view and more accurate NPI forecasting.
Argriculture Case Study

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