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.
The results provide clear product recommendations, aggregated customer comments, and price sensitivity data. If an item does not perform as expected, simply drill down to read specific customer comments and survey responses to make design changes.
Want even more detail? First Insight’s Predictive Analytics platform breaks the responses down by age and gender to show how each product resonates by segment. Our AI is also region specific and can tell you how your products will perform in different countries or states. We collect over 8,000,000 data points per month from consumers and retail manufacturers in 30+ countries to feed into our machine learning algorithms.
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Now we can make fact-based decisions and do it more efficiently. We are never going back to the old way of conducting line reviews.
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
© 2021 First Insight, Inc.
