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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

Q&A with the ALDO Group on the Challenges of Online Fulfillment (Part 1)

To thrive in a hyper-competitive market, retailers are turning to advanced analytics and optimization to drive their ship-from-store effectiveness

The ALDO Group, a global fashion retailer, is taking a different approach to omnichannel fulfillment—and realizing some serious benefits leveraging advanced analytics with Celect. 

Todd Harris, Director of Marketing at Celect, sat down a couple weeks ago with Marc Chretien, Sr. Director of eCommerce Operations at the ALDO Group, for a live Q&A to hear his thoughts on:

  • 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

Check out the the first part of the Q&A transcript below, where Marc shares his experience and thoughts on some of the biggest challenges and opportunities the ALDO Group faced as it relates to fulfilling online orders from stores. 

You can (of course) access the full video interview here

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

Optimize Omnichannel Fulfillment for the Holiday Season

We’re just a quick block and jingle bell ring away from the holiday season — a high stakes, strategically coordinated shopping season retailers strive to perfect each and every year. 

At this point, inventory assortment plans and buys have been squared away.

However, once the frantic shopping frenzy ensues, the scale of orders coming through (from any and all channels) becomes increasingly difficult to manage. When an e-commerce purchase is made, retailers are bending over backwards to meet customer expectations even at the expense of a more profitable sale.

“[O]nline sales are growing at a respectable rate for many omnichannel retailers in large part because they continue to bear nearly all the associated costs of attracting and accommodating online shoppers, while their store-based sales often languish.” - WWD

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Topics: order fulfillment, fulfillment optimization, cross-channel demand, demand prediction, customer preference, advanced analytics, holiday shopping, ecommerce, holidays

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