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Brad Boehmke

Director of Data Science, 84.51° (Kroger)

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’s Impact as an AI Hero

Brad has helped 84.51° leverage AI to better engage with their customers in a personalized manner for each of their 60 million households. 84.51° is a data and marketing company owned and operated by Kroger, the fifth largest retailer in the world and second largest supermarket company in the world.
60 Million Households Analyzed
Personalized magazines with products, recipes, and coupons.
1 Billion Personalized Coupons
Significant customer conversion rate on personalized offers via print and digital.
96% of Kroger Transactions in Loyalty Program
DataRobot results in uptick in consumer response, sales, and profits.

Relentless in Understanding Their Customers to Drive Better Experiences

Brad has helped push DataRobot into the hands of more data scientists that wouldn’t be doing machine learning before, but now they can actually “deploy models, and deploy them smartly. It’s been a game-changer for us.” For example, 96% of all of Krogers transactions are made by people that are part of the loyalty program. One aspect that Brad works on is using the information that the loyalty program provides, leveraging AI to find patterns in the transactions, and then taking better actions, such as personalized coupons.

Useful links
Getting Started with DataRobot
The Empowered Consumer (blog and whitepaper, CDO)
AI in Retail
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    Data Analyst, Symphony Post Acute Network

  • I think we need to take it upon ourselves in the industry to build the predictive models that understand what the needs and wants of our customers are, and go through the whole curation process, become their concierge.
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  • DataRobot allows us to understand the data that’s being fed into our models without blindly feeding whatever we get into our system. DataRobot makes my team very effective.
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  • We know part of the science and the heavy lifting are intrinsic to the DataRobot technology. Prior to working with DataRobot, the modeling process was more hands-on. Now, the platform has optimized and automated many of the steps, while still leaving us in full control. Without DataRobot, we would need to add two full-time staffers to replace what DataRobot delivers.
    Evariant
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