The duo have completed a successful pilot of the Otto digital concierge and are now moving into full production to deliver anytime, anywhere service, support and information to customers and partners. This enhanced level of support comes at the same time that Autodesk has made the shift to a fully subscription-based business, where there is a higher level of expectations from customers for real-time customer service and support.
In the pilot testing phase, Autodesk claims that it has improved its support ticket resolution time by 99 percent and significantly improved customer satisfaction.
“It is important we provide our customers with consistent quality paired with the shortest response and resolution time. Our collaboration with IBM Watson allows us to expand the Otto concierge service and deliver prompt, effective and authentic engagement to our customers,” said Gregg Spratto, Vice President, Operations, Autodesk.
How it Works?
The company explains that when a customer or partner needs help with a subscription activation request, they are connected to Otto via Autodesk’s online support channel. Otto starts by handling requests for activation codes via a combination of natural language processing and business web services. The web services validate if the customer owns the license and then automates the back-office transactions required to generate a new activation code.
As the project expands, Autodesk will equip Otto to use machine learning to handle increasingly complex customer requests and allow it to continue to reduce resolution times, scale seamlessly as volume grows, and provide round-the-clock customer and partner service.
“People today expect instant, seamless customer service. Autodesk recognizes that each touchpoint with a customer is an opportunity to meet that expectation and, with Otto and Watson, they’re able to deliver a top notch end user experience while also improving their operations,” said Beth Smith, General Manager, Offerings & Technology, IBM Watson.
According to IBM, Watson’s natural language processing (NLP) and deep learning technologies help Otto understand the intent of customer questions and quickly return high-confidence answers. In the training and development process, Autodesk fed historical data from chat logs, use cases and forum posts into Otto to help ensure it can understand and respond to a wide range of customer queries.
Autodesk states that as the program expands, it will rely on a core group of top customer service and technical experts to continually add new domains of expertise within Otto utilizing supervised training of techniques.
