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Kroger Leverages AI, Data Analytics

Specialty Food Association

Kroger has forged a collaboration with Google Cloud and Deloitte to help the retailer use cloud technologies to increase associate productivity across its nearly 2,800 stores. Kroger recently deployed a variety of Google Cloud data analytics, artificial intelligence, and machine learning tools under an application framework co-developed by Deloitte and Kroger. The tools are being used by store leaders and associates to make real-time operational decisions to deliver a better shopping experience for Kroger’s nearly 11 million shoppers.

"Technology and digital tools are fundamental elements of how Kroger continues to improve the associate experience, which in turn, enhances the in-store experience for our customers. Innovation is a critical component, and execution is even more important," said Jim Clendenen, vice president, Enterprise Retail Systems, Kroger, in a statement. "Google Cloud and Deloitte brought us a technology architecture and application framework that we could implement in record time. We're already seeing results across our stores, with associate tasks being optimized and overall productivity increasing."

Kroger worked with Google Cloud and Deloitte to create two, purpose-built applications to enhance associate productivity. The first is a new task management application that provides Kroger's night crew managers with greater visibility into the volume and type of merchandise arriving on a given day, store staffing information, and stocking needs. The system then prioritizes team activities in just a few clicks on an Android device, with associates informed of inventory or delivery changes in real-time.

The second is Kroger's new store management application, which empowers store leaders to be less dependent on paper tools. The app provides a standardized audit checklist for store managers and department leaders. It also offers a customizable walk path that guides store audits. Both applications are now automatically generating tasks and prioritizing work for Kroger associates nationally.

Underpinning Kroger's new applications are several Google Cloud technologies that were used by Deloitte to build an event-driven architecture for the retailer, including:

Artificial intelligence and machine learning: Google Cloud's AI and machine learning optimizes Kroger associate task lists based on inbound signals such as goods delivery data and staff availability.

Spanner: With Google Cloud Spanner's fully-managed relational database, Kroger has been able to build a true event-driven ledger, which enables the company to capture unique events—at different times throughout the day and from different stores—to make better-informed decisions about how to direct associates to be more productive.

Dataflow: Kroger is using Google Cloud's Dataflow, a serverless data-processing service for capturing and analyzing data from different sources, like labor rates, transportation logistics, sales forecasting, and out of stock information.

"Retail is in the details," said Jose Luis-Gomes, managing director, Retail and Consumer, Google Cloud, in a statement. "One of the most important ones many retailers struggle with is how to maximize the time and talents of their associates when every store and every day is different. Kroger doesn't just have the latest and greatest technologies — the grocer is literally putting them into the hands of their associates so their time can be used on what matters most for Kroger's customers."

Related: Kroger Expands Recycling Program; Orange Juice Prices Skyrocket.