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The Doc Brown Principal Applied to Enterprise Software

Marty McFly: Wait a minute. Wait a minute, Doc. Ah… Are you telling me that you built a time machine… out of a DeLorean? Dr. Emmett Brown: The way I see it, if you’re gonna build a time machine into a car, why not do it with some style? As a UI designer for over 20 years I’ve noticed that many people have allowed...

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In-Store Attractions Will Soon Be Reality

Why shop online when you can take a brief trip to California’s Yosemite National Park or the Moab desert in Utah and trek the landscapes while shopping for a windbreaker? What sounds like a dream vacation was in fact a campaign hosted by the outdoor equipment retailer, North Face. The in-store experience was limited to select stores in Chicago, New...

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Facing the Facts About Biometric Technology

Imagine walking into a store and never having to pull out your wallet, or fumble around for cash. Imagine the ability to use your own identity as a form of payment. Sound like a scene from the Minority Report? To some, definitely. For others, like Google, it’s their latest project. It’s appropriately called ‘Hands Free’ - an app that uses...

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The Beautiful Truth of Mobile Consumerism

The beauty industry is one where personalization and experimentation can come together and flourish. This is why it comes as no surprise that beauty retailing in the US is evolving, as consumers are turning towards mobile technology while shopping for their favourite products. New research reveals that 45 percent of beauty consumers prefer to consult their smartphone for product information...

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The truth about personalization across channels

Retailers share one commonality no matter what industry or product they sell : they’re always looking for ways to increase revenue and optimize customer experience. Accurately predicting what to sell each customer and at what price is a difficult task, but a necessity when it comes to keeping customers happy. The tricky part is effectively using data from all channels to make...

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Beyond Collaborative Filtering (Part 2)

Note: This is Part 2 of our series on recommendation systems and collaborative filtering. Please check out Part 1 of our series for the challenges of building a retail specific product recommendation system and an overview of collaborative filtering. Retail Product Recommendations Once a good collaborative filtering model has been built using matrix factorization, the individual dense latent customer and product vectors can...

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