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.
Customer centric repairs service
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.
Detailed insight to make the right decisions
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.
Explore the benefits of RepairSense
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.
What our customers say
Since Karbon has gone live with RepairSense we have reduced our repeater rate by 36%, which is a significant reduction having only been live for a couple of months…it is delivering these tangible benefits and measuring quality of work. Now trade colleagues are really conscious of the quality of their work and not the speed in which they work.