First Insight’s platform collects customer feedback on new product designs through social, email, and third-party panels to gather a statistically significant sample size. Retail predictive analytics then analyze the responses and forecast the outcomes for key product decisions within 24 to 48 hours. We use industry leading machine learning and artificial intelligence systems to interpret customer feedback and triangulate the data with industry trends using predictive algorithms.
Through First Insight’s predictive analytics, we gain visibility into our customers’ preferences in a way that hasn’t been possible for us before, We validated the ROI of the First Insight solution through measuring a direct increase in online conversions and full-price sales.
Mike Gaumer, President
There is no history on a brand new product. When you're innovating new products, you can't use POS historical data — you have to predict behavior. That's what's so powerful about this.
David Katz, CMO
First Insight’s analysis of consumers’ merchandising preferences, print favorites, and style trends provides our teams with pre-season insight into new product performance, giving them more confidence in the buying decisions and allowing us to tailor our assortment to match our consumers’ needs.
Kate Kenny, VP of Merchandise & Planning
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Increase new product success rates by 30-80%, improving forecasting accuracy.
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Increase gross profit by 3-9%.
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Increase speed-to-market by reducing product launch time up to 30%.
