Holiday 2020: Forecasting the unknown

How retailers can use demand sensing to get ahead of trends that drive sales

It would be an understatement to say COVID-19 has disrupted the consumer buying process. With decreased foot traffic from store shutdowns and a slowdown of discretionary spending earlier this year, COVID-19 has caused behavior changes that have affected demand and supply.

With all the disruption, proper predictions matter more than ever to prevent undersupply and overstock. Through demand sensing, retailers can use supply chain information in real time to more accurately predict trends that will improve sales, make production more effective and optimize inventory.

In this episode of Retail Gets Real, PWC Partners Kurt Staelens and Paul Leinwand discuss how machine learning and demand sensing capabilities can effectively manage inventory to ensure shelves are stocked in time to meet consumers’ seasonal demands.

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