Mobysoft

This feature uses predictive analytics, powered by Supervised Machine Learning, to identify customers who are most likely to fall into arrears in the next three months. Mobysoft then automates personalized contact using configurable messages, enabling crucial early intervention arrears prevention.

The platform acts as an omni-channel communication tool, helping income teams to create, manage, and send automated messages to customers. Users can schedule these messages as recurring campaigns or one-off prompts to drive down arrears levels. This process increases tenant digital engagement and provides seamless contact resolution without requiring constant direct human intervention by officers.

This AI-powered module assists income teams in effectively managing caseloads and optimizing resource attribution. It achieves this by automating personalized contact and specific actions for defined use cases. The goal of the software is to reduce overall officer workload by automating routine tasks, ensuring the team's bandwidth is reserved for complex cases that require human judgment and specialized support.

The software seamlessly manages former tenant arrears and significantly reduces associated officer workloads. It uses algorithmic rulesets to prioritize caseloads, tracking arrangements and indicating when contact is necessary. Mobysoft includes an embedded PowerBI reporting dashboard, giving managers the ability to analyze case completions, debt levels, and team performance.