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Aspect Software acquires LinguaSys
Aspect Software, a leading award-winning cloud provider of fully-integrated consumer engagement, workforce optimisation, and back-office solutions, has announced another key acquisition continuing the company’s successful business transformation to a leading cloud solution provider in the customer engagement space.
“Since its introduction earlier this year, many of the world’s top global brands have validated our vision of a reimagined consumer experience that addresses the demand for better, more connected, and more intelligent self-service brand interactions,” says Joe Gagnon, Aspect senior vice-president and global GM, Cloud Solutions. “By continuing to invest in enabling technologies and capabilities like LinguaSys, we continue to optimise and differentiate our best-in-class omni-channel customer service, creating greater solution separation from our competitors.”
Language and speech technology, combined with artificial intelligence and intelligent assistance, will enable people to interact with machines in a natural way. The addition of the LinguaSys NLU solution addresses the growing consumer demand for using messaging services such as SMS, Facebook Messenger, or Twitter for customer service and support conversations.
“LinguaSys brings highly-flexible support of natural language understanding for multi-lingual text messaging solutions to Aspect’s self-service CXP Platform,” says Dan Miller, lead analyst at Opus Research. “It will be a major source of differentiation as consumers around the world engage with their selected companies through micro-blogs, messaging platforms and social networks.”
With ITR, channels like SMS and Twitter are transformed from one-way notifications to two-way conversations, empowering companies to expand automated omni-channel service interactions with consumers. The result for Aspect’s customers is that they dramatically increase consumer interactions and satisfaction while reducing the cost to service their customers. For consumers, it means getting their questions answered in real-time without having to work through phone trees or be tied to a device while waiting for a response.