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Forever 21: 4 Reasons it Failed & Filed for Bankruptcy

Indigo 9 Digital

Inditex, Zara’s parent company planned to close up to 1,200 stores by the end of 2022 and open 450 new stores. If you can’t move all of the inventory then markdowns are required which eats into sales per sq. Between 2018 and 2019 Forever 21’s stores in Canada, Europe and Asia lost approximately $10 million per month.

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How to Get Results from your Big Data with Retail AI

Retalon

Businesses collect more data than ever before and from every aspect of the supply and demand chain—logistics; vendor compliancy/lead times; POS data; inventory levels; traffic cameras; prices; markdowns; consumer behavior; demand forecasts; and more. Unifying Big Data across Forecasting, Planning, and Operations.

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5 Vital Considerations for Big Data Analytics in Retail

Retalon

Retail businesses collect more data than ever before, and from every aspect of the supply chain, including: Logistics data (vendor compliance, lead times, etc.). Prices (markdowns, promotions, competitor prices, etc.). Unifying Big Data across Forecasting, Planning, and Operations. POS data (sales, returns, etc.). The result?

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The Big Difference Between a Sales Forecast vs. a Demand Forecast Explained

Retalon

Demand forecasting is the process of removing the effect of factors that influence sales data to uncover true past demand for your products at all locations and channels. According to a 2019 McKinsey report , retailers that use advanced analytics are outperforming their competition by over 68% — with the number growing exponentially.

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How Smaller Assortments, Lower Inventory Levels Can Maximize Post-COVID Success

Retail TouchPoints

By creating narrower product assortments and limiting inventory levels — especially for product shipments headed to brick-and-mortar stores —merchants would gain the ability to react more quickly to changing consumer trends, and even potentially reduce their need for markdowns. Richard Maicki.

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The Future of Retail in the New Era of Risk

Retail Prophet

Soon, merchants everywhere began to experience what many thought could only happen in third-world economies and banana republics – panic buying, empty shelves and bottomless backlogs to fill them. But in the process also opened global consumer markets to risks that would make the cotton collapse of 1861 look like a picnic.