
The product in action
RepairSense flags repeat repair jobs to managers, and notifies operatives before their visit, so they can focus on resolving the issue and preventing persistent problems.
Identifying repair issues are vast and multi-layered. In RepairSense the Artificial Intelligence (AI) makes sense of all the job description in the repairs system and as is able to flag repeaters. It is agile in self-learning different words that have the same meaning (for example loo and toilet), understanding abbreviations and even misspellings.
Then being able to decipher if and where repair jobs are linked and importantly how the customer experience has been adversely impacted. The technology then helps landlords prevent persistent repair problems.
RepairSense helps providers focus on a ‘quality’ KPI which measures the lasting fix of a repair and identifies in real time where the fix has not met expected standards. This gives tenants’ assurance the service is focused on listening to their repairs issues and resolving them first time.
RepairSense is enabling landlords to make more informed decisions based on facts that help deliver a more efficient and effective repairs service. Teams can uncover overlooked detailed and trends in the data, such as when it is better to replace a boiler’s components rather than fix them.
RepairSense flags repeat repair jobs to managers, and notifies operatives before their visit, so they can focus on resolving the issue and preventing persistent problems.
Live insight about performance across the team and individuals helps managers track KPIs and identify potential mentors and training needs.
Being cloud-based deployment is light touch and takes little time, and is supported by an on-going training programme to ensure business cases are met
We work with you from sign up to go-live and beyond, ensuring every stage you have the necessary support and you exceed your financial and social targets
Our new Artificial Intelligence (AI) Repairs solution, RepairSense, helps social housing providers to optimise the quality and consistency of their repairs service, increasing tenant satisfaction as a result, by anticipating and reducing the problematic repairs that blight tenants’ lives.