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Because of efforts to address this mismatch of product and real-world sizing, Coresight Research estimates that the value of the extended-size market for women will grow to $32.3 this year alone, representing approximately 21% of the total women’s apparel market. billion in the U.S. Challenge 3: Pricing.
In order to understand how to take full advantage of this new technology, we will first explain what demand forecasting actually is, the most common methods of demand forecasting in retail, key constraints that need to be accounted for, and modern examples of accurate demand forecasting. What is Demand Forecasting?
Consider high-end fashion labels like Louis Vuitton that simply refuse to undercut premium pricing or even offer any markdowns. The upside is, loyal customers may be more favorable toward product recommendations that take their personal preferences into account. This is the level of exclusivity their customers expect and prefer.
Consider high-end fashion labels like Louis Vuitton that simply refuse to undercut premium pricing or even offer any markdowns. The upside is, loyal customers may be more favorable toward product recommendations that take their personal preferences into account. This is the level of exclusivity their customers expect and prefer.
An accurate forecast must account for how relevant factors will affect each SKU at the store level. Manually computing this much data is impossible, but retailers can use advanced analytics tools to get an optimal forecast in minutes. Unfortunately, a host of factors can make past sales history a poor indicator of future sales.
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