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Lenovo Smarter IoT Solutions Set to Help Retailers Improve Productivity and Safety

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Lenovo recently announced a set of ThinkIoT Smarter Store Solutions designed to help “brick-and-mortar” stores adapt to today’s new normal environment. The solutions reportedly are designed to improve customer experience by enabling better inventory availability and product interaction while simultaneously driving labor efficiency. Additionally, the company said the solutions help to make stores safer for shoppers during COVID-19.

A recent Lenovo survey reportedly found that nearly half of consumers reported that they began shopping online more frequently over the past month and 66 percent said it’s the retailer’s responsibility to keep them healthy while they shop in-store.

“Brick-and-mortar retailers offer a unique experience for shoppers that cannot be fully replicated online,” said John Gordon, President, CIoT Business Group, Lenovo. “With ThinkIoT Smarter Store Solutions, we’re helping these important retail businesses create even more differentiated customer experiences while improving their bottom line so they can continue to grow during challenging economic times.”

ThinkIoT Smarter Store Solutions are designed to address key customer experience, productivity, and safety needs of stores.

Lenovo’s ThinkIoT Smarter Retail Solutions complement Lenovo’s other Smart Retail solutions, helping create an ecosystem of inter-operable technology and aggregated data to transform business.  With a customized, integrated network of Smart Retail solutions, store-wide IT management is simplified and improved. This is Lenovo’s third Smarter Solution set from the Commercial Internet of Things (CIoT) Business Unit

ThinkIoT Smarter Store Solutions are available immediately beginning in North America.


Ken Briodagh is a storyteller, writer and editor with about two decades of experience under his belt. He is in love with technology and if he had his druthers would beta test everything from shoe phones to flying cars.

Edited by Ken Briodagh
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