How Artificial Intelligence Is Changing the Industry Background v.1.2

How Artificial Intelligence Is Changing Retail

Most retailers are drowning in data, but they aren’t necessarily using it to the best of their advantage. Artificial intelligence (AI) bridges the gap between the volume of data available and the correct interpretation of that data for strategic business decisions.

With problems ranging from store site selection and promotional targeting to staffing and demand forecasting, retailers who have embraced the AI revolution are increasing profits, improving customer satisfaction, and realizing operational excellence.

Download this ebook and learn how AI can help put strategic solutions into place to help retailers grow and refine their businesses in a fast-moving world.

You’ll discover:

  • What the Fourth Industrial Revolution means and why retailers need to embrace it now
  • How retailers are using AI to satisfy increasingly sophisticated consumers, drive supply chain excellence, and improve operational efficiencies across the board
  • How automated machine learning solves many of the challenges faced by retailers and makes other challenges more manageable
DataRobot's gotten pushed into the hands of more data scientists that wouldn't be doing machine learning before, but now they can actually deploy models, and deploy it smartly. It's been a game-changer for us.
Brad Boehmke
Brad Boehmke

Director of Data Science, 84.51° (Kroger)

We want to understand our customers to drive better customer experiences, make their lives easier or give them an overall better customer experience. At 84.51 we make DataRobot available to all our 200 Data Scientists.
Scott Crawford
Scott Crawford

Head of Enable The Science, 84.51 Kroger

The biggest impact DataRobot has had on Lenovo is that decisions are now made in a more proactive and precise way. As we get better and forecast accuracy keeps improving, people are becoming more confident and trusting of the process, the data, the models, and DataRobot.
Rodrigo Bertin, Lenovo
Rodrigo Bertin, Lenovo

Senior Business Development Manager, Latin America

By integrating aspects of machine learning across all of our daily processes, we’re changing the way tests and studies are carried out and embracing the 21st century way of analysis with new data sources, new technologies, and consequently, new ways of working.
Julien Boulenger
Julien Boulenger

Director of Innovation & Data, Carrefour

Data science and technology has been a pretty major disruptor in a lot of industries, including retail. Everything that we do, every decision that we make, every prediction that we use in a decision, at the end of the day, impacts the customer and it’s always about improving the shopping experience for our customers...DataRobot gives the ability for data scientists of all different skill levels to apply tools and techniques that are state-of-the-art. Work that would ordinarily take weeks to code up right, DataRobot can do in hours so we get our time back - we focus on more important on more important aspects of the business.
Brandon Greenwell
Brandon Greenwell

Data Scientist, Kroger / 84.51