How predictive AI will change shopping… & more [This Week Today]

By Marc Hummel

November 25, 2016

Welcome to This Week Today, your dose of must-read marketing and tech stories from the past seven days. Here’s vol. #sixty-nine for Friday 11.25.2016.

1. Cameras, ecommerce, and machine learning [Benedict Evans]

“What happens to ecommerce recommendations when a system might be able to infer things about your taste from your Instagram or Facebook photos, without needing tags or purchase history—when it can see your purchase history in your selfies?”

2. Instagram sees shopping as the next step in its evolution [Engadget]

“A lot of Warby Parker customers are already discovering products on Instagram, but up until now there wasn’t a simple way for them to capitalize on that engagement. Naturally, Instagram is hoping to alleviate that problem with shopping tags and other recently launched business-focused tools.”

3. How predictive AI will change shopping [HBR]

“Responsive retail has peaked, and we’re about to enter the era of predictive commerce. It’s time for retailers to help people find products in their precise moment of need—and perhaps before they even perceive that need—whether or not they’re logged in or ready to click a buy button on a screen.”

4. Connected stores: A NYC tour and review [Third Wave Fashion]

“The promise is that the connected store might be the answer to retailers’ woes. We decided to check out some of the most famed connected stores in New York City to see if their features live up to the hype.”

5. New retailers can’t see the old ones die fast enough [Forbes]

“Amazon started killing retail back in 1999. The carnage has been stunning. And yet, despite data indicating that Amazon is grabbing nearly 60 cents of every incremental retail dollar spent online, there’s a spin out there that says, the faster traditional retail dies, the sooner it can successfully reinvent itself.”

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Marc Hummel is a former Content Marketing Associate for Monetate. He's also a part-time grad student at the University of Pennsylvania. He enjoys biking to work, reading, listening to podcasts/music, and eating ice cream. Usually not all at once. For more about Marc, go here.

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