Mavenoid automates customer requests on a troubleshooting platform using a virtual agent that serves as the first level of support for technical products such as dishwashers, robotic lawn mowers, trucks etc. The solution leverages mavenoid’s proprietary troubleshooting algorithm and empowers customers to fix issues on their own. The customer is asked a series of structured multiple-choice questions to diagnose the issue with their product and provide solutions to fix it. Mavenoid’s solution can be integrated with existing workflows and CRM systems. It requires minimum training data and human effort in creating models that can be reused across similar products and it is self improving: it learns and builds on every interaction with the customer.

In times of COVID-19, in-person customer service is nearly impossible. Mavenoid’s troubleshooting platform enables companies to digitize and automate basic support services and therefore maintain high quality customer service, not just now in this crisis, but in general. The solution can be up and running within 14 days. The Swedish startup has raised almost 10 mio $ by investors like Point Nine Capital and Creandum. Among its reference customers are some of the Nordics largest companies like Alfa Laval and Scania.

Listen to Tilda Sander, Head of Growth and Partnerships at Mavenoid, explain the platform in detail: