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

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 retailers to survive. What can retailers do to evolve and keep from going the way of the dodo?

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

6 Proven Ways AI Will Improve Your OMS

As we progress into the next fiscal year and roll through the daily motions required to meet a new set of annual objectives, retailers like you know — better than anyone — how fleeting the status quo in the retail world can be. Fulfillment models have evolved tremendously over the past decade, yet many of the systems merchants rely on to meet new delivery expectations have not. In today’s retail environment, the point of purchase can be wherever the consumer wants to be, adding a new level of complexity to the standard, rules-based order management system (OMS) running every e-commerce transaction coming through.

That being said, to be efficient, profitable, and fast for online delivery requires an ability to adapt to consumer’s ever-changing needs in advance while leveraging your stores. This means arming systems with predictive insights to anticipate demand and understand what/when/where your next customer will buy.

So, the question stands, how exactly have retailers tackled the challenges online fulfillment presents? Here are six proven ways AI will significantly improve your existing OMS:  

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Topics: ship-from-store, artificial intelligence, ecommerce, order delivery, brick-and-mortar retail, technology adoption, order fulfillment, OMS, order management systems

Q&A with the ALDO Group on the ROI of Advanced Analytics (Part 2)

In our latest webcast, Marc Chretien, Sr. Director of eCommerce Operations at the ALDO Group, shared his perspective on how the company approaches order fulfillment and advanced analytics in today's evolving retail landscape. 

Last week, we touched on the first part of the live Q&A, which consisted of insights around: 

  • the potential and complexity of optimizing store inventories for online order fulfillment
  • the unique approach the ALDO Group takes when fulfilling online orders from stores

In this post, we'll share the second half of the discussion to learn:

  • The process the ALDO Group took towards adopting advanced analytics
  • How ALDO Group dramatically increased sales, margins, and conversions with Celect Fulfillment Optimization 

Read on to learn what Marc has to say below: 

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Topics: ecommerce, brick-and-mortar retail, fulfillment optimization, cross-channel demand, advanced analytics, customer preference, order fulfillment, demand prediction

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