AI in Social Housing: Wolverhampton Homes Predicts Damp & Mould*

Wolverhampton Homes partnered with NEC Housing to deploy AI in social housing, training a model on property, maintenance, complaint, weather and environmental data across 21,000 homes. This enabled highly accurate predictions of damp and mould risk, up to 98% accuracy with complete data.

How the AI Solution Worked

Collected historical housing data: age, ventilation, repair history, past complaints.

Overlaid geographic and weather data to assess environmental risk.

Integrated AI model within NEC Housing so that when housing officers log updates, the AI risk score updates in real time (accuracy dropped to ~70% if data was incomplete).

Proactive Risk Identification & Response

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