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The Subtle Art (and Science) to Successful Retail Allocation

Knowing how and where to allocate products to the right stores can make or break a retailer. We live in a consumer-centered world. For better or worse, thanks to companies like Amazon, customer delivery expectations have changed so that they expect to get what they want and when they want it at the single click of a button. Often, this product can arrive on their doorstep the very next day.

Not wanting to be left in the dust, many brick-and-mortar stores are utilizing tools enhanced with artificial intelligence to master the subtle art of retail allocation. In today’s retail landscape, companies who do not utilize advanced analytics to allocate their products will be left behind or even fail completely. 

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Topics: data overload, allocation, artificial intelligence, inventory optimization, ecommerce, brick-and-mortar retail, data, cross-channel demand, advanced analytics, technology adoption, customer preference, accuracy, demand prediction, markdowns

The Seven Deadly Sins of Retail

The retail industry of today is a hyperactive and ever-changing environment, ripe with emerging technologies, competition, and an opportunity for those able to navigate through the waters of uncertainty. Retailers today not only need to be able to see through the smoke of change to determine the best path forward but also need to avoid the most common mistakes that have marked the end for past retailers. Here are seven deadly sins to avoid in today’s retail environment.

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Topics: data overload, artificial intelligence, inventory optimization, ecommerce, brick-and-mortar retail, innvoation, data, advanced analytics, technology adoption, customer preference, speed, accuracy, demand prediction, markdowns

What Retailers Can Learn From H&M’s $4B Worth of Unsold Inventory

“In the world of fashion retailing, where shopping is fast moving online and stores try to keep inventories closely matched to sales, even a small stack of unsold clothes can be a bad sign.”  The New York Times 

The news circulating about H&M’s colossal pile of unsold merchandise simply reminds us of the risks fast-fashion retailers face to deliver trends at quicker-than-lightning speed consumers demand.

Although at the unfortunate expense of H&M’s affected profits, here are three invaluable lessons retailers can take away from the big, pile of unsold inventory getting so much press lately:

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Topics: convenience, inventory optimization, data, advanced analytics, fast fashion, speed, accuracy

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