Hi there, help with damp and mould is available to your organisation right now.
How Mobysoft's Damp and Mould Module helps landlords
Assurance that processes are followed
Provides D&M history and chain for every home
Identifies properties with unreported D&M
Ensures no cases are missed
Why is Mobysoft's Damp & Mould module unique
Artificial Intelligence
Our D&M module uses the latest Artificial Intelligence (AI) and Machine Learning (ML) technology to mine, analyse and interpret repairs data. From which it makes recommendations and predictions.
Scale and a Unique Dataset
Our solution has the most extensive ‘labelled data set’ for repairs, this has been built over three years, and continues to grow.
Accuracy & Precision
Our D&M module is underpinned by three trained AI models. The precision of the recommendations is 99%, and cases do not get missed. The models can also identify properties with D&M where the cases have not been reported.
THE ERA OF DOING MORE WITH LESS
your organisation leaders need solutions that make teams delivering services more productive
Efficiency
Productivity
Innovation
Transformation
Predictability
DAMP & MOULD MODULE
More information about our D&M module
Stand alone module
Mobsyoft's Damp & Module can be purchased as a stand-alone module, or as part of the RepairSense platform.
Agnostic Solution
We have integrated our solutions for over 180 social landlords, across all the main HMS and CRM systems. Deployment can be done in a matter of weeks.
Proven & effective
Our D&M module is mapped to work in line with the new sector processes. It also helps identify new cases whilst effectively managing existing damp and mould caseloads.
Identifies, prioritises & flags
Identifies all cases of D&M and prioritises them in correct severity order, and then flags if and where jobs have fallen out of due process.
CUSTOMER STORIES
“We have referred to RepairSense's Damp & Mould module in our response to the Regulator. It provides great insight for the team. We have become more proactive in tackling the issues that cause
damp and mould. It is critical in helping us monitor to ensure resolution.”