We Use AI to Predict Changes in Occupancy Status.
Our solution combines AI and process expertise to identify Void and Gap Properties early. This increases billing accuracy, accelerating cash collection and reducing the cost to collect.
The £Billion problem
For utilities, identifying changes in occupancy status is typically, at best semi-automated. The lack of an early identification trigger increases unbilled and uncollected revenues, forcing utilities companies and ultimately their paying customers to bear the cost.
In the Water industry alone, Void Properties cost the industry in excess of £300 Million every year.
How much do void/gap properties cost the water industry?
Predict void or gap properties early using deep learning and AI
KAI, our Machine Learning platform, actively and continuously scans available databases and mission-critical data-sets, monitoring the signals, patterns and trends determining occupancy status. Combined with your operational experience and datasets, KAI helps you identify and predict Void Properties early, accurately identifying occupants, and increasing the probability of cash being collected.