Rise of the Retail Robots

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rise of the retail robots

FRUSTRATED WITH STORE EMPLOYEES? Maybe a mechanical clerk is the answer.

The retail industry today is making some fascinating, promising, and perhaps troubling moves toward the routine use of autonomous retail robots in human environments. The efforts seem energized by technical advances, affordability gains, and increasing wages for their human counterparts.

“Everybody is beginning to talk about robotics as a way to remove labor from the system,” said David Marcotte, a senior vice president with consulting firm Kantar Retail, a friend of this blog, in an interview in the Star Tribune newspaper.

As a confirmed sci-fi geek (occasionally prone to paranoid fantasy), I’m both fascinated and a bit leery about this development. There’s little doubt, however, that the robots are coming to retail from numerous directions.

Tenser’s Three Laws of Retail Robotics:

1 – A retail robot may not harm, mislead or impede a shopper, or, through inaction, allow a shopper to fail to complete a sale or have an otherwise poor experience.

2 – A retail robot must faithfully implement the merchandising plans given it by retailers except where such orders would conflict with the First Law.

3 – A retail robot must encourage and protect the sale, as long as such protection does not conflict with the First or Second Law.

(Adapted with great reverence from i Robot, by Isaac Asimov.)

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A Little Problem With Big Data

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Courtesy RetailWire.comA STIMULATING DISCUSSION in RetailWire.com this morning led me to once again think deeply about how retailers are confronting so-called Big Data and applying it to their businesses.

The question posed was an intriguing one, given the continuing hype and mysticism ascribed to Big Data over the past several years.

What is your take on the advancements (or not) retailers are making in the use of data capture and analysis? Is it all leading to significantly improved customer experiences down the road, or something less?

The responses mostly seemed to accept two tacit assumptions: One, that all store data is Big Data. Two, that the primary goal of Big Data analytics is the creation of targeted promotional offers. I have a little problem with that.

When did retail POS data suddenly become Big Data? We’ve been collecting it (and mostly discarding it) for decades. Now that storage costs have finally declined, we can capture and hold it long enough to run a few queries and design a few models. Shopper in-store data really hasn’t changed much, but our ability to mine its potential has certainly advanced.

Certainly data flows from the POS and frequent shopper programs continue to expand. There are even some new sources, like in-store shopper tracking, entering the mix. Yes there’s lots of data. But is this really Big Data?

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The Store is Dead! Long Live the Store!

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Margo Georgiadis, GoogleTHE DISTINCTION between online and off-line retail sales grows blurrier by the minute, as shoppers meld their consideration and purchasing behaviors into an “all-line” shopping continuum that spans brick, web and mobile.

“The war for store traffic will be won or lost on digital,” said Margo Georgiades, President of Americas, Google, who spoke in Tucson, AZ last week at the 19th Global Retailing Conference sponsored by the Terry J. Lundgren Center for retailing at the University of Arizona.

In 2010, U.S. retail stores recorded 39 billion “footsteps” in November-December, she reported. By the same period in 2014 that number had declined to 18 billion. Despite that huge drop-off in store traffic, store revenues grew for the same periods from $641B in 2010 to $737B in 2014.

“Those footsteps didn’t go away,” she said. They just went online.”

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A Framework for “Best Practice”

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Best-5-Banner
NOT LONG AGO I WAS ASKED to prepare a “Best Practice” document for a retail solutions company. The task stimulated a round of research, investigation and deep thinking.

Best Practice is a term we invoke fairly often in the retail consumer products industry. Industry associations devote considerable resources to identifying them. Consulting firms convene their best subject matter experts to define and explain them. (Sometimes they invent them outright.) Sales organizations, especially, like to invoke them as evidence of the superiority of their solutions.

But is there consensus on the real meaning of best practice? Well I read up on what some of the experts had to say and added some original thinking of my own. Here’s what I came up with:

Best Practices are the reusable practices of the organization that have been shown to be successful in their respective functions. To make them repeatable and consistent, they are defined by the organization and institutionalized in various ways, often enabled by technology systems. Best Practices may deliver great value in driving customer experience, workflow efficiencies, speed, accuracy, reduced re-work, cost control, operational insights, business improvement and other benefits.

While specific Best Practices may vary across different organizations and industries, some tend to rise consistently to the top. Those worthy of the adjective “best” tend to reflect five key traits: They are Designed, Conscious, Measurable, Realistic, and Customer-Focused.

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