Reflexis Debuts Artificial Intelligence Solutions

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Reflexis Debuts Artificial Intelligence Solutions


Reflexis Systems, Inc., a real-time store operations and workforce management solutions company, announced at its annual user conference the availability of solutions leveraging Artificial Intelligence (AI) and machine learning to improve essential store operations and execution processes. Reflexions 2019, the annual Reflexis User Conference & Expo, also set a customer attendance record.

Speakers representing Tractor Supply Co., Cumberland Farms, Luxottica and Fanatics were among the leading brands that presented at the conference. Topics included utilizing machine learning and AI to improve labor scheduling, discovering savings with advanced analytics & reporting and the evolution of bank branch workforce scheduling, led by the firm’s first banking customer, a top three U.S. bank.

Solutions announced at the event leverage AI to address specific industry challenges including improving the store pilot process (Store Pilot Analyzer), accurately predicting future staffing levels (Staff Capacity Planner), and leveraging associate skills (Predictive Performance Manager.)

“As one of the first Reflexis customers, dating back to when I worked at Staples, it’s exciting to see Reflexions grow into the event it is now,” said Mike Moran, VP of Retail Operations, Fanatics. “The networking opportunities are plentiful and it’s always great to learn how other customers are utilizing Reflexis solutions.”

“It was impressive to see the number of customers attending Reflexis Systems annual user conference, and after viewing demos of their new products, they should be really excited about what’s next,” said Steve Rowen, managing partner at Retail Systems Research.

The Reflexis Knowledge Center featured leading industry solution providers, including Nextenture, Connors Group, CMI Time Management, Synel, Zebra, arm FlexWage, Pricer, REPL and SMG.

Reflexis’ EMEA Customer Forum will be held in late September in London, England, and aims to provide insight, value and best practice advice for retailers to optimize their store operations.