Managed analytics provider Ugam announced an enhanced version of its Assortment Intelligence solution, which incorporates client data to help improve buying, planning and merchandising decisions within product categories. The new offering helps category managers better understand assortment gaps, identify trending and high-demand products, and optimize conversion rates for key products.
The solution combines real-time data collection with predictive analytics to help retail merchandisers determine what products to keep, carry and drop. It goes beyond simple competitive analysis to incorporate web analytics and sales data, including page traffic, referring page data and customer engagement data.
For category managers, the Assortment Intelligence solution also now analyzes their internal data to determine specific interventions, including SEO and SEM changes, pricing and promotion adjustments, content refreshes and improved site mapping.
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Retailers can make sure they’re offering the right products at the right price, aligning their product pages with consumer demands and engagement behavior, and creating a compelling sales experience that improves the visit-to-purchase ratio.
“It’s not enough to know everything about the customer in today’s age of empowered consumers,” said Mihir Kittur, Co-Founder and Chief Innovation Officer at Ugam. “Today’s retailers need predictive analytics-based solutions that capture competitive omnichannel data and provide specific recommendations to help category managers make smart decisions.”
