Hispanic independent supermarket chain Sedano’s Supermarkets, one of the pioneers in the use of automated stores for e-commerce, will now venture into Artificial Intelligence (AI) by partnering with Daisy Intelligence to optimize its merchandising functions.
Daisy Intelligence is an AI-powered platform for retail and insurance. The technology company said Daisy would provide Sedano’s with a suite of AI-powered solutions and services, including demand forecasting, store ordering, promotion planning, and inventory picking through automation and AI.
“As we continue to experience growth and expansion, merchandising across the chain presents a significant analytical challenge due to the sheer volume of data and complexity involved,” said Javier Herrán, Marketing Director, Sedano Supermarkets.
“Investing in Daisy Intelligence’s cutting-edge AI technology serves to support the marketing team and save considerable time in making merchandising decisions, increase the variety of products and offers, and ultimately ensure that every customer can always buy what they are looking for,” Herrán added.
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Miami-Dade-based Sedano’s Hispanic supermarket chain was founded in 1962 by the Herrán and Guerra families. Sedano’s serves Florida’s multicultural communities with 35 stores and more than 3,000 employees in Miami-Dade, Broward, Orange, and Osceola counties.
“We are excited to be working with Sedano’s supporting a long-running and successful family business. Daisy’s proprietary and unique AI, merchandise planning platform, will provide the Sedano’s team a view of all product Halo Effects, which will assist with promotion planning and demand forecasting,” said Gary Saarenvirta, founder and CEO of Daisy. “Our system will deliver improved store-level order recommendations to Sedano’s store teams: reducing stockouts, minimizing store labor, and increasing customer satisfaction. It’s always a pleasure to collaborate with forward-thinking retailers.”
According to Daisy Intelligence, a team of more than 50 computer scientists, mathematicians, and business domain experts work on developing its platforms. They analyze customer organizations’ transactions, running billions of simulations daily to deliver optimized merchandise planning and risk management decisions for their customers.