Investments in AI-powered predictive and prescriptive analytics will more than double in the next two years. Find out what’s driving the change, and more importantly, how retailers can take a smart approach to implementation.
Mondelez's CIO and chief data scientist explore how CGs can incorporate cognitive, predictive and prescriptive analytic strategies to supercharge the value change – especially in times of unprecedented demand.
Data is the new oil and analytics is the refinery — this timeworn phrase continues to hold water, but it’s next-gen analytics taking the driver’s seat in today’s retail industry. We dive into the Retail and Consumer Goods Analytics Study 2020 to put even more context behind the numbers.
The idea of the customer experience is not new, but today’s data-driven world has put more control in consumers’ hands with heightened expectations. As such, personalization is a critical foundation for retail success and brand image.
In an era where the customers talk through data, Simons will be able to hear not only when they're "shouting things, but also just whispering very quietly," says CEO Peter Simons. Learn how Simons is using predictive analytics and AI to accurately forecast demand, generate shipments, allocate products, calculate replenishment, and optimize promotions.
Managing shrink in the modern world is harder for retailers than ever before. While smart devices and technologies are available to make shoppers’ lives easier, those same technologies are also available to criminals, making shoplifting easier.
Whenever Iron Man gets into trouble he requests data-backed options from Jarvis. Jarvis is not a superhero. He is an advanced analytics engine, a futuristic example of real-world technology retailers can use to win their battles in the marketplace.