Haus Apéritifs: The Restaurant Project

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“We wanted the ritual of drinking without the consequences of high sugar, high alcohol liquor — And it turns out millennials want the same thing," said Co-Founder and Co-CEO Helena Price Hambrecht. "Nothing in the market worked for us, so we decided to make a new product that's delicious, yes, but also lets us bring the focus of drinking culture back to how we spend time with the people in our lives.”

Beli: Knowing What Your Belly Wants

In the past, searching for new restaurants has required outbound search by consumers. Beli is changing this by using data and matching algorithms to instead automatically generate unique restaurant options for it's users, giving users personalized recommendations without the typical investment of time and energy.

Walmart: Using machine learning to reduce food waste

Food waste is a major problem across the globe. Grocery retailers incur significant costs from this wastage, particularly in the produce category. Walmart is taking this problem head-on with analytics using ‘Eden’: a machine learning algorithm that screens produce for quality and freshness. This post explores Walmart's attempts to improve their food waste process with Eden.