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Theatro Unveils Wearable Solution To Improve Employee Communication, Productivity

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Consumers today are more demanding and knowledgeable than ever before, which is encouraging many brick-and-mortar retailers to invest in technology designed to improve the browsing and buying experience.

In light of heightened buzz surrounding wearable technology, Theatro has released a voice-enabled enterprise wearable communicator designed for store managers and associates. Coupled with a suite of cloud-based productivity applications, the wearable is designed to improve in-store operational performance by providing cost-effective in-store communication, employee indoor location and employee analytics.

Weighing slightly more than one ounce and offering nine hours of battery life, the solution was created to help retailers evolve from legacy employee communications systems that rely on antiquated broadcast radio technology and are not integrated into a retailer’s IT systems.   

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Voice applications available for the wearable device help store associates interact instantly with their fellow employees, systems and managers — even associates from other stores. A communications app empowers store employees to collect information at the right time to make decisions quickly and efficiently. Users can tap the app to leave messages or make announcements to one or multiple people.

Also included in the SaaS suite is a built-in Wi-Fi indoor location app, which provides employees and managers with real-time information regarding the location of associates throughout the store. Continuous tracking and situational awareness give employees the insight to maximize productivity.

Perhaps most importantly, the solution includes the retail employee analytics app, which provides executives at the store headquarters, as well as regional and individual store managers with access to real-time and historical performance metrics. These metrics include shopper engagements with associate social behaviors and workflow. These insights can be leveraged for predictive data modeling, which will help optimize future store performance.

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