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Why is demand forecasting a huge opportunity for retailers?
Manage episode 354802314 series 3279178
תוכן מסופק על ידי Peter Denby. כל תוכן הפודקאסטים כולל פרקים, גרפיקה ותיאורי פודקאסטים מועלים ומסופקים ישירות על ידי Peter Denby או שותף פלטפורמת הפודקאסט שלהם. אם אתה מאמין שמישהו משתמש ביצירה שלך המוגנת בזכויות יוצרים ללא רשותך, אתה יכול לעקוב אחר התהליך המתואר כאן https://he.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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