Simpson Associates Predictive Forecasting for Boiler Maintenance Proof of Concept

Enabling social housing organisations to effectively forecast boiler maintenance requirements.

What is the Simpson Associates Predictive Forecasting for Boiler Maintenance Proof of Concept?

Social Housing organisations need to react quickly and effectively to boiler maintenance requirements. Many have the data available that could be used to predict how many reactive maintenance requests to expect through the year and even predict which type of boilers in certain types of properties are most likely to fail within a given time window.

Unplanned, reactive maintenance can create a number of challenges, including difficulty with resourcing or more complex repairs. 

Implementing our Predictive Forecasting for Boiler Maintenance Proof of Concept (PoC) can help social housing organisations to start to understand how they can use the data already available to enhance their service delivery and ultimately improve customer satisfaction.

Using data science approaches and machine learning algorithms, these can be used to provide an ‘early warning sign’ at individual boiler level, turning unforeseen, reactive maintenance into known and planned maintenance. 

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Benefits of using the Simpson Associates Predictive Forecasting for Boiler Maintenance PoC:

Learn whether your organisation can use advanced data analytics to predicted reactive repairs for boilers.

How and, why it works, and which of the predictive features had the greatest impact on forecasting accuracy.

Actionable insights written and presented in a clear format, as derived through the analysis and modeling process.

High level recommendations for transforming the PoC model into a systemised working solution.

Innovative initiative to demonstrate to wider internal stakeholders the potential value of using data in new ways. 

How else can it help Social Housing?

Whilst this offering is focused on Boiler Maintenance, it can easily be adapted to be used for a whole host of fixed assets, including:

Tenant-related repairs

Structural damage

White goods and furnishings

Damp and mould incidents

Who should use the Simpson Associates Predictive Forecasting for Boiler Maintenance PoC?

The Simpson Associates Predictive Forecasting for Boiler Maintenance PoC is ideal for organisations that:

Are new to utilising AI and want to make the most out of their data.

Want to minimise costs and complex boiler repairs.

Strive to boost efficiency and proactive measures.

Would benefit from technology that provides an ‘early warning sign’.

Want to reduce downtime.

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Our Predictive Forecasting for Boiler Maintenance PoC will be sure to give your Social Housing origination the chance to empower your team with AI. To give you a clearer idea of the work we will do with your team, take a look at the 5 highlighted stages:

Predictive Forecasting for Boiler Maintenance PoC deliverables: What you get

Workshop

To scope, design and plan your Proof of Concept.

Project Design Document

To establish a common understanding of your solution requirements and success criteria.

Raw Results

To enable your own analytics function to query and leverage granular results.

Written Report

To demonstrate the feasibility of using machine learning to solve your asset maintenance challenges and plan for productionisation.

Solution Evaluation Presentation

To discuss the potential applications of embedding the solution into your processes.

Outcomes

The Predictive Forecasting for Boiler Maintenance PoC leverages AI to anticipate boiler failures, crucial for social housing organsations. Housing authorities and property management firms overseeing social housing can implement this to uphold livability standards and manage budgets effectively.

The opportunity to bring together information and data onto a single data platform is revolutionary.

Kate ThackerDetective Chief Superintendent

Simpson Associates demonstrated that they were true experts in the field; within a few weeks they had a solid understanding of our business requirements and turned around an initial solution within an astonishingly quick timescale. From delivering the budget within a tight timeframe to supporting our learning and development, Simpson Associates has allowed us to become genuinely self-sufficient, sharing their knowledge and expertise at every step of our journey.

Gillian TroupGroup Financial Controller

Simpson Associates provided us with the expertise to see us through the design and the implementation phases and potential problems that we hit and got us through those. But they also understood our needs as a charity, the components that make up our data warehouse come partly from Microsoft, partly from other companies like Civica and Simpson Associates provided the glue to help us bring those together and get the best out of them.

Jon FoxAssociate Director of IT

Simpson Associates was dedicated to matching our brief, There was healthy debate of course but they always presented reasoned responses, or accommodated our wishes when needed. It’s a very flexible relationship and the synergy we’ve built is vital to the knowledge transfer process.

Neil Spreadbury Commercial Finance Officer

Why Simpson Associates can help customers on their AI journey as a Microsoft Partner

Simpson Associates is a Microsoft Partner with over 30 years of data experience. We have the expertise to help organisations get the most out of Microsoft technologies. We have a deep understanding of Microsoft Fabric and how it can be used to help organisations achieve their data goals.

Next Steps

To learn more about getting started with the Simpson Associates Fabric Accelerator, contact us today!