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Why is demand forecasting a huge opportunity for retailers?
Manage episode 354802314 series 3279178
Peter Denby에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 Peter Denby 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
This is To Affinity & Beyond; HyperFinity’s podcast about decision intelligence, data science and AI for retail.
This time, we’re exploring demand forecasting – a process that’s widely considered imperative to get right in order to run a successful retail business. Our host Peter Denby is joined by fellow co-founder and Chief Customer Officer Thomas Hill.
Resource one: Wikipedia’s definition of demand forecasting – https://en.wikipedia.org/wiki/Demand_forecasting
Resource two: a second definition of demand forecasting, by global fulfilment software ShipBob – https://www.shipbob.com/uk/blog/demand-forecasting/#what-is
Resource three: Amazon is using machine learning to forecast demand – https://www.forbes.com/sites/amazonwebservices/2021/12/03/predicting-the-future-of-demand-how-amazon-is-reinventing-forecasting-with-machine-learning/?sh=7c9c56b01b6b
Resource four: 2015 research by IHL Group found overstocks and out-of-stocks cost retailers across the globe $1.1 trillion in lost revenue – https://retailwire.com/discussion/retailers-suffer-the-high-cost-of-overstocks-and-out-of-stocks/
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