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

Three Retail Inventory Management Challenges for the 2018 Holiday Season

As the sugar high from Halloween subsides, retailers are shifting their focus to the next holiday spending rush this season: Black Friday. The dangerous combination of pumpkin-spiced lattes, a strong economy, and product deals and discounts will fuel consumers into the eagerly awaited shopping period for retail.

The outlook on holiday spending this year is optimistic. Retailers are getting holiday ready and pulling out all the stops, such as Target and Walmart's free two-day holiday shipping rollout and Wayfair's holiday pop-ups

However, the difficulties in achieving success during the holidays always fall back on how effectively a retailer can manage their inventory. Are you providing the right product, in the right amount, at the right time and place? Here are some of the biggest inventory management challenges retailers must overcome this holiday season:

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Topics: brick-and-mortar retail, merchandise planning, merchandise assortment, product assortment, data, inventory, e-commerce, holiday shopping, holidays, demand prediction, order fulfillment, advanced analytics

Lessons from Amazon's 4-Star Store, GH Lab, & Fashion Pop-Up Boutique

It’s easy to gloss over the timeworn Amazon headlines, but media coverage of the e-commerce titan’s recent physical retail strategies incited us to dig a little deeper to share some key learnings for you today:

1). First, Amazon’s partnership with Good Housekeeping magazine to create a new pop-up shop and digital boutique, GH Lab, at the Mall of America beckons a unique approach to the physical shopping experience using technology and a thoughtfully crafted, limited assortment.

2). Secondly, the opening of Amazon 4-Star — a new physical store where everything for sale is rated 4 stars and above, is a top seller, or is new and trending on Amazon.com— signals a new level of data-driven curation and transparency that only seemed possible online. 

3). Lastly, the introduction of Amazon’s first fashion-focused pop-up shop in London further affirms the 'brick-to-clicks' phenomenon driving many digitally-native brands to embrace offline despite the 1,773 store closures so far in 2018. 

Amazon has been dabbling in physical retail since its acquisition of Whole Foods in 2017, but its bold experimentation with these new store models clearly reveal the company’s ambitions across multiple physical retail verticals – from fashion to furniture to wellness and more.

These moves signal a future in retail where the power of data drives curated assortments, transparency, and more pleasant, stress-free shopping experiences.

Retailers, take note!

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Topics: brick-and-mortar retail, merchandise planning, merchandise assortment, product assortment, amazon, data, inventory, e-commerce

The Flux Capacitor of Retail

What if you could travel into the future?

In the 1980s sci-fi classic trilogy, Back to the Future, Marty McFly brings back from the future the Sport's Almanac, a compilation of sports statistics and scores, with the intention of gambling his fortune on games with a 100% accuracy. 

What if you could fast-forward to next season? What would you bring?

If I had to guess, as a merchant, you’d probably gather all of the transactions across each store. With that knowledge, you could make the best use of inventory by knowing exactly where each product was going to sell.  

If only it were as easy as time travel. While nothing will be as easy as time travel, it can get pretty close with advanced analytics.

Here's why advanced analytics is the flux capacitor of retail. 

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Topics: brick-and-mortar retail, advanced analytics, machine learning, demand prediction, merchandise buy, merchandise planning, allocation, fulfillment

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

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