An Interview with Aldo’s Sr. Director of E-Commerce on Predictive Analytics

If you’re familiar with Celect, then you know how excited we are about our latest press release, which announces our recent partnership with multinational footwear retailer, ALDO Group.

For those of you who haven’t heard—here’s the lowdown on the announcement:

By leveraging predictive analytics, Celect is providing Aldo with unique insights on customer demand to help optimize the fulfillment of online orders across its global network of stores.

Which brings me to my next point:  

Total Retail just released an exclusive interview with ALDO Group's Director of E-commerce Operations, Marc Chretien, to talk about his experience with Celect and Aldo’s omnichannel fulfillment efforts: 

“Customers have become very flexible in their purchasing patterns and have embraced omnichannel, leading them to expect these options from retailers. […] A strategy that ALDO Group has adopted is placing the most possible inventory in-store (vs. distribution centers) where both the walk-in and the digital customer can access it. The Celect technology is a great compliment to that strategy and allows ALDO Group to more accurately predict customers’ demands in real time and, subsequently, determine which stores have inventory opportunities.“Marc Chretien, Sr. Director of E-commerce Operations at ALDO Group

The Q&A provides some additional insights into how Aldo is adapting to the changing consumer and leaning on predictive analytics to make better, faster and more profitable order fulfillment decisions.

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Topics: order fulfillment, fulfillment optimization, fulfillment, ship-from-store, predictive analytics, advanced analytics

Why Prime Day 2018 Isn’t Just About Amazon Anymore

“Amazon has been getting more and more help hyping the event every year, as other retailers — seeing both opportunities and risks in being left behind — chase after deal-hungry shoppers in cyberspace with their own discounts.” Retail Dive 

It’s all going down on July 16.

The explosion of the unofficial, e-commerce, midsummer holiday is exceeding expectations since its initial launch only a measly, three years ago! It’s pretty absurd looking at the jaw-dropping stats behind the growth Amazon Prime Day continues to garner: 

According to the Goliath, Prime Day sales increased 60% year over year. 

However, it’s clear that the attention around the event isn’t just fueled by Amazon themselves. Retailers of all shapes and sizes are jumping in the ring to get a finger in their consumer’s wallets. Here’s why Prime Day 2018 isn’t just about Amazon anymore: 

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Topics: amazon prime day, amazon, amazon prime, e-commerce, holiday shopping

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

The Challenges of Sequential Allocation

It’s almost that time of the year – Amazon Prime Day’s a-looming. The midsummer, Black Friday equivalent and annual reminder to retailers of one of the most wildly successful loyalty campaigns ever created. 

This four-year-old online shopping “holiday” is also a clear reminder to retailers of this:

It’s time to step up your game.

Beyond the Prime Day phenomenon, Amazon’s success stems from understanding what their customers want. 

In essence, understanding what your customer wants means the ability to offer the right product in the right place at the right time: the ultimate challenge retailers face today.

Perhaps not surprisingly, a huge part of this challenge can be traced back to a retailer’s allocations. You can have the best assortment plan in place, the perfect quantities purchased—and yet, you continue to see unsold product, day after day, that should have sold well at store A or out-of-stock situations at the supposedly-low-demand store D.

It’s not easy to know ahead of time that you should have stocked 30 more pairs of faux fur slide sandals in a size seven at Houston’s Galleria store. While hindsight’s 20/20, it’s also freakin’ costly. 

Here are some of biggest allocation challenges retailers need to quash ASAP:

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Topics: customer preference, advanced analytics, localization, allocation

How to Exceed Customer Delivery Expectations Through Order Fulfillment

“Consumer centricity is increasingly necessary for retailers and brands to maintain loyalty within highly saturated markets. Launching technology that not only delivers shipments in an expedited and efficient manner while subsequently optimizing current inventory levels will improve margins.” - WWD 

According to the NRF, Father’s Day spending for 2018 is expected to reach $15.3 billion dollars and more than one third of all shoppers are expected to buy something online.

I’m definitely one of those shoppers this year.

As I narrow down the search for my dad’s gift, shipping cost and delivery speed are by far one of the top deciding factors. 

While, admittedly, waiting the week before Father’s Day could have something to do with this (guilty), the data behind online delivery expectations say otherwise:

This “Amazon Effect” (so it’s been dubbed) is bringing the heat to retailers big and small, and urging many to discover ways to focus their current supply chain around the customer. 

Especially when it comes to the “last mile” as many traditional brick-and-mortar retailers realize one of the best ways to implement a “customer centric” approach is to capitalize on proximity – i.e., their physical stores.   

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Topics: customer preference, order fulfillment, advanced analytics, fulfillment optimization, cross-channel demand, localization

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