The Migration of Web Techniques to In-Store Retail Practices

Via ralphbijker on Flickr

Think about the companies doing the most technologically advanced stuff. Amazon. Google.

Grocery stores.

Say what…? The place where oranges sit in piles in the produce section. Boxes of cereal lines the aisles. The frigid ice cream aisle.

Well, they’re not in the league of Google and Amazon. But grocers are more than those aisles of food and ceilings of fluorescent lights you see. Two trends in the industry borrow heavily from the advancements on the Web:

1. Website optimization
2. Recommendations

I’m not talking about monitors with web pages inside stores. I mean the shopping experience has been affected by these developments. Here’s how.

Website Optimization => Store Layout and Merchandising

E-commerce sites live and die by their conversion rates. A key piece of the conversion rate puzzle is effective navigation and presentation of items to site visitors. One company that helps with that is  Tealeaf, which records and analyzes visitor behavior to help site owners optimize conversions and return visits.

In a physical space, you can’t record people’s clicks and actions. Or can you?

As reported in a recent Economist article, retailers are starting to video record shoppers’ behavior in the aisles. For instance, here’s how one supermarket used technology provided VideoMining to understand visitor behavior in its juice section:

Another study in a supermarket some 12% of people spent 90 seconds looking at juices, studying the labels but not selecting any. In supermarket decision-making time, that is forever. This implies that shoppers are very interested in juices as a healthy alternative to carbonated drinks, but are not sure which to buy. So there is a lot of scope for persuasion.

These are exactly the kind of metrics that e-commerce sites track to improve their conversion rates. Use of cameras in-store to do the same thing is analogous to tracking visitors to your website.

Personalized Recommendations

Amazon.com really led the movement to provide effective recommendations to existing customers. One report I’ve seen says that Amazon derives 35% of its sales from these recommendations. Amazon’s recommendations are generated from your shopping history, compared to others via collaborative filtering. The success of these recommendations has inspired others to build recommendation engine services, including Aggregate Knowledge, Baynote, MyBuys, RichRelevance and others.

The same thing is happening in-store as well. You know that loyalty card you present to your grocer to get discounts? It’s used to record your shopping history. Historically, grocers have done little with that information. It was more of a device to keep you coming back to the store.

But in the past few years, grocers have been getting hip to the idea that their customers’ shopping history can be used to personalize the shopping experience.

Once, I was product manager for just such a system, called SmartShop. Pay By Touch’s SmartShop used a Bayesian model to compare your purchases against those of other shoppers, and determine whether you exhibited stronger or weaker preferences for a category or product than the overall average. A set of 10 personalized item discounts were then selected for you based on your specific purchase preferences.

On a website, returning customers are presented with a set of recommendations as they shop. In-store, what’s the analog? Kiosks. Kiosks are the in-store interaction basis with customers. SmartShop notified you of discounts via a print-out from a kiosk at the front of the store. This was key – get you the discounts right at the point of decision, when you’re shopping. Not unlike e-commerce recommendations.

Prior to Pay By Touch’s demise, SmartShop was getting good traction among grocers, who were looking for ways to increase basket size, increase loyalty and differentiate themselves. And it wasn’t just SmartShop. Price Chopper and Ukrops use a recommendation system from Entry Point Communications. UK-based Tesco is the granddaddy of personalized recommendations, provided through Dunnhumby.

Teaching Old Dogs New Tricks

While e-commerce benefits from being all-digital and various identification mechanisms, grocery historically lacked these. But that’s changing. Retailer have picked up the best practices of their online brethren. Things are now much more measurable and personalization is no longer the province of the online players.

Looking forward to grocers introducing Twitter into the shopping experience…

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For reference, here’s a white paper I wrote about SmartShop when I was at Pay By Touch:

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