Our platform’s Artificial Intelligence continues to become smarter with Machine Learning. For more than a decade, we have been collecting over 8,000,000 data points per month from consumers and retail manufacturers in 30+ countries to feed into our machine learning algorithm. These data points continue to increase the accuracy and precision of our predictions. They also allow us to provide geographic product recommendations by state, country, and region. Machine Learning enables us to identify fashion trends in near-real-time and predict seasonal trends ahead of other market resources.
In a saturated retail market with fierce competition and many similar products, customers are looking for the best, the new, and the different. While many retailers and brands are hesitant to launch risky and unique products, those who use our InsightSuite platform can take their fashion design creativity to the next level. By using product photos or 3D CADs, retailers and brands can try different iterations of the same product design to pinpoint exactly which one resonates best with customers and understand why. The information learned from each test encourages creativity and increases new product success rates.
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
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