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Using Predictive Analytics for Facility Management
ServiceChannel, a software-as-a-service (SaaS) service automation platform for facilities managers (FMs), contractors, and technicians, recently announced a broad roadmap and a new set of artificial intelligence features. The new features presented at ServiceChannel CONNECTinclude discrete capabilities for FMs, contractors, and technicians, empowering them to provide a more efficient, consistent, and positive experience for their store, hotel, restaurant, or healthcare facility visitors.
At the forefront of the new capabilities is an extended focus on machine learning, artificial intelligence (AI), and predictive analytics to drive new levels of automation, transparency, visibility and efficiency. ServiceChannel’s unique and detailed data set of over 70 million maintenance transactions is the basis for its innovative Decision Engine, which combines data on assets, pricing, and empirical performance to assist facilities professionals in making decisions more accurately and efficiently, in a fraction of the time it takes today.
The new capabilities can provide enriched data-driven insights to better inform decisions such as whether to replace or repair an asset, accept or challenge an invoice, or choose to update pricing controls more proactively. Combined with additional ServiceChannel product enhancements presented at ServiceChannel CONNECT, these new features will help customers identify and save on their annual repair and maintenance activities, while driving continual quality improvements, says the company.
"The evidence is clear: physical locations, particularly retail stores, are central to the all-important customer experience," says Tom Buiocchi, ServiceChannel CEO. "Whether you own a store, restaurant, hotel, gym, or healthcare location, facilities maintenance is a critical and strategic — yet often overlooked — element of ensuring positive brand perception. We are committed to providing our customers with revolutionary solutions and tools that deliver unprecedented value."