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Predictive Analytics

A collection of news, articles and other featured content about Predictive Analytics.

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.

Technologies that enhance the supply chain are being overlooked for customer-facing tech, raising the question, what are the implications for retail businesses?

In this RIS exclusive True Value supply chain VPs James Harrington and Lyndsi Lee discuss the retailer’s five-year supply chain transformation plan and how its latest investments are leading to unheard of levels of inventory accuracy.

Fear of falling behind omnichannel shoppers is driving grocers to deploy new technology at a furious pace. This tipping point is analyzed in depth in the recently released "2019 Grocery Tech Trends Study."

27th Annual Retail Tech Study

Find out in the 27th Annual RIS/Gartner Retail Technology Study how retailers are responding to fast-moving changes in the marketplace by investing in game-changing technology.

Download RIS/CGT's latest analytics research report and benchmark your organization's analytics maturity against the industry leaders. 

While 2017 trends will continue into the new year, many new challenges are predicted to arise. To stay competitive, it is important for grocery retailers to adapt to these five expected trends for 2018.

The 2018 Retail Technology Innovation Index is the industry’s only algorithm-based index that highlights the most innovative technology companies successfully advancing retailer businesses.  

When it comes to the digitization of commerce, you might first think of the tech and tools that are enhancing the customer experience (CX).

As retailers continue to build their digital capabilities and work towards a completely unified approach they are placing an increased emphasis on e-commerce firepower. See the major trends that will have the greatest impact over the next year.

Accurate assortment planning requires a robust amount of historical data, but without taking a series of necessary steps to draw those insights and create actions, the assortments won’t address consumers’ needs. Uncover four steps to focus on and draw conclusions from a particular sample of retail data.

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