"Our consumer lines are absolutely driven by fashion. We want to understand customer receptivity to the product, the color, the price point, this is a very powerful tool for moderating that risk."
-Ed Schmults, Wild Things LLC
Wild Things LLC, a manufacturer of military and alpine clothing and related gear, was one of First Insight's first clients. CEO Ed Schmults, who is now on First Insight's advisory board, says he first used the service to choose the best style for a corporate logo and is using it to gauge consumer reactions to clothing styles that will launch next year under its newly licensed brand.
"...our merchants are addicted to First Insight..."
-Leading fast fashion retailer
Allows the Fast Fashion Retailer to test 90% of their new product assortment every month.
Each month, a fast fashion retailer must decide on the next line of designs to produce and bring to market. The timeframe of decision-making is very narrow, often shorter than 10 days from designers presenting their designs to buyers penciling their buys. Leveraging the speed of First Insight's platform allows the fast fashion retailer to test 90% of their new product assortment every month. Results are delivered to them within 72-hours, providing actionable guidance well in advance of key buying decision dates.
Average weekly sales would have increased 34% for the 10-week period.
A leading integrated footwear retailer initially engaged with First Insight to test a new group of shoes in preparation to launching. The result of the test was a set of recommended shoes in which the retailer should "invest" in, and another set that should be "avoided." These same shoes were then placed in their stores nationwide for 10 weeks, and sales results were complied. Had the retailer followed the recommendations from the First Insight test, average weekly sales would have increased 34% for the 10-week period.
Additionally, the retailer is able to track attribute strengths over time to see how specific trends are performing from season to season. This retailer has been able to integrate these forward-looking findings to help identify peaks and valleys of demand, becoming a key part of their assortment planning processes.