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

Is Retail Going the Way of the Dodo?

Innovation and adaptation drive success in all competition-based systems. In the natural world, animals that evolve to have competitive advantages like size, speed, or cunning will exploit those competitive advantages to set themselves apart from others, fighting for shared resources. Those who do not adapt and find methods to outperform rivals they compete against ultimately face starvation and extinction. In the retail world, new competition and changing consumer habits are making it harder for retails to survive. What can retailers do to evolve and keep from going the way of the dodo?

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Topics: brick-and-mortar retail, technology adoption, artificial intelligence, retail apocalypse, markdowns, inventory optimization, advanced analytics, ecommerce

3 Practical Reasons Retailers Should Adopt AI in 2019

In the world of retail, the goal is simple: sell product. 

However, reaching that goal is a completely different story. When you throw competition, customer expectations, stores, inventory, logistics, and fulfillment into the mix, things reach a whole new level of complexity. The challenge is really two-fold:

  1. ) First, demand is seemingly unpredictable, with a multitude of factors influencing a consumer’s desire to want to buy something. 
  2. ) Secondly, there’s the issue of optimization – how can retailers leverage their inventory more productively? 

Overcoming these challenges requires retailers to better predict demand and optimize their inventory decisions more effectively to ultimately maximize every opportunity for a sale. Artificial intelligence and advanced analytics technologies are growing to be the tools of choice for retailers when it comes to optimizing inventories as customer expectations force retailers to invest heavily in digital capabilities.

Many retailers, according to Gartner, are “simply not optimizing their most significant assets.” What asset is more important than a retailer’s inventory? Here are three reasons retailers should adopt AI for inventory optimization in 2019:

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Topics: brick-and-mortar retail, merchandise planning, data, inventory, e-commerce, demand prediction, order fulfillment, advanced analytics, artificial intelligence, allocation, markdowns

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