top of page

Reduce Unnecessary Visits, Increase Satisfaction & Reduce CO2

matthias-heyde-aBGYL-ue5xo-unsplash.jpg

Identify complex and recurring issues 

RepairsAI uses cutting edge AI & Machine Learning to instantly identify complex repair issues.  By building & deploying advanced  predictive models, recurring problems can be flagged which would be impossible for social landlords to track at scale.  SMS surveys confirm that the repair is fixed first time closing the loop.  

           

Reduce Total Visits & Drive Down Your Repair Costs

The amount spent on repairs and maintenance rose 14% in 2022-23, totalling £7.7 billion in England alone.  With repeat repairs being as high as 15% of overall visits, a significant opportunity exists to reduce repairs costs & Co2.

Reduce the risk of repetitional damage 

Failure to resolve repairs & maintenance first time is a major source of customer complaints, driving disrepair claims & in some cases maladministration findings.  Protect your reputation & reduce complaints.  

Improve Customer Repairs Satisfaction & TSM Scores  

Comply with the Consumer Standards Safety and Quality Standard & improve your TSM repairs scores; leverage Repairs Insights to further understand dissatisfaction drivers & communicate improvement plans with customers. 

Benefits 

Slash Repeat Visits By 30% 

Reduce repeat visits by a third and do more repairs with your existing operatives, whilst lightening the load on your planners.        

Improve Repairs Satisfaction & TSMs

By focusing on the quality of repair rather than speed of repair, customer satisfaction will increase, translating into better TSM scores.

Reduce Repairs Complaints 

Customers who are subjected to multiple visits to fix the same repair are up to six times more likely to raise a complaint.  

Reduce Fleet Costs & Co2

Less visits, means less miles, lower fuel costs & reduced Co2 emissions.  Operative morale also benefits.    

bottom of page