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.

Nike – just Do it with Data science and Demand sensing

Nike has increased its focus on direct-to-customers strategy and cancelled its contract with Amazon to be able to collect its customer data. Through a series of acquisitions of data analytics and AI-based startups, it plans to use this data to understand customer journey, improve demand predictions at a hyper-local scale and enhance customer experience globally.

Klarna: One-click Wonder or International Online Banking Powerhouse?

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Since first appearing on the e-commerce scene in 2005, this Swedish company has been exacerbating online shopping addictions and helping retailers combat #cartabandonment. With 60 million unique customers, flexible payment options, a vault of transaction data, and a new shiny banking license, Klarna has big plans on the horizon.

Grubhub – Revolutionizing the food-ordering landscape

Grubhub – the leading online and mobile food-ordering company, with 8.2million active diners and 50,000 restaurants in its network across 1,100 cities – is redefining the way people order food. Insights from significant amount of data generated is helping the company refine the food-discovery process for its diners, i.e. right food at the right time at the right price. On the other hand, the restaurants are able to optimize their delivery footprints, pricing and online profiles. Let’s see how Grubhub does all of this.