How AI and Data Can Help Retail’s Ongoing Pandemic Challenges

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        Hybrid shopping and increasing the speed of data and analytics operations were among the topics at top of mind as retail business executives returned to the Javitz Center in New York City for the first time in two years for the National Retail Federation’s Big Show.Though we may all be weary that evolution continues as retailers prepare to leverage technology to address a fresh set of challenges in 2022 along with the ongoing challenges of the pandemic the pivot to ecommerce and supply chain issues and more.

        Successful retailers have pivoted to meet the challenge of hybrid orders but there are still many pain points according to Rob Saker global head of retail and manufacturing at Databricks a cloud-based data AI and analytics platform.It’s been two years since the pandemic hit and retailers scrambled and invested in ecommerce ordering to in-store and delivery fulfillment.In terms of technology “Many of the systems that companies have built their operations on are too slow to support the challenges of retail ” Saker says.

        A challenge in leveraging all this data can be the lack of a that single source of truth said Katy Campbell senior manager for analytics delivery at the air mattress manufacturer and retailer Sleep Number during a virtual session at NRF.The consumer product company wants to set up an enterprise analytics center of excellence that will enable them to move beyond business intelligence and reports to use the platform for everything from product design product ideation sales planning and customer service according to Dan Mitchell SAS director of global retail.Retail Clouds Microsoft announced February 1 general availability of its Microsoft Cloud for Retail a set of retail-specific capabilities collected in the Microsoft cloud including a way to unify disparate data sources according to Microsoft.The company said that in 2022 this industry-specific cloud will help retailers maximize the value of retail data improve their customers’ shopping


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