Nike has proven itself since its start as a leader in innovation. It redefined shoe design and global supply chains. Now it is revolutionizing retail and sportswear through data analytics.
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.
Starbucks rides on DeepBrew (AI based tools) to keep operations efficient, free up time for partners, engage customers, and improve sales
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.
Industry Background and Transformation For small and medium enterprises owning physical shops, point-of-sales (POS) systems along with payment systems are crucial technologies that support the whole operations. Before the digitalized POS system emerged, most shops in the United States used […]
Nike paces ahead with speed-to-market and direct-to-customer focus along with close attention to personalization and customization when it comes to product innovation. Will it win the race?
How Amazon combines its customer-centric approach with data-driven decision making to create and capture value.
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 – 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.
Data analytics in hotel industry