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Dive briefs:
- Home Depot has rolled out a new mobile application aimed at improving the employee experience and increasing productivity, the company announced earlier this month. The app, called Sidekick, uses machine learning to help employees prioritize tasks throughout her day.
- Sidekick uses cloud-based machine learning algorithms to determine the most time-sensitive tasks. Detect out-of-stock items on shelves and alert employees through computer vision.
- The app is live in 600 stores and will be rolled out to all U.S. stores in the coming weeks, the company said in an email.
Dive Insight:
Technologies that support frontline workers have long been a target of enterprise IT due to their promise of increased productivity.
In retail, other large companies such as Walmart are building mobile apps for their employees.Last year, retailers [email protected] An app that allows employees to clock in, view upcoming shifts, and request schedule changes via their mobile device.
Enterprise technology projects can be complicated by leveraging one improvement towards the next.
In June, Home Depot began issuing affiliate hdPhone mobile devices developed in collaboration with Zebra Technologies, HPE, and Hewlett Packard Enterprise Company Aruba. The company says it has issued over 99,000 of his hdPhones.
“The app is hosted on the newly launched hdPhone and has an intuitive user experience built for Day 1 Associates following a design tenant that requires no user training,” said Home Depot’s store. Muzammil Akram, vice president of systems, said in an email. “The app also has a feedback button and clickstream analytics to understand usage and continuously improve the user experience.”
Industry watchers issued a clear proclamation late last year. IT spending continues to grow despite economic concerns. But leaders will be tasked with demonstrating how new projects can help companies become more efficient.
Home Depot worked with in-house software engineers, designers, and product managers to tailor the Sidekick app to its business needs, Akram said.
“By building this application in-house, we were able to engage end users with a faster feedback loop throughout development and integrate seamlessly with our enterprise tech stack,” he said.
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