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Artificial Intelligence (AI)

Dynamic field service planning solution FLS VISITOUR has won the Best Decarbonisation Approach at prestigious UK housing Awards.

Technology leader FLS – FAST LEAN SMART won a Housing Executive Award for innovation and efficiency for its focus on tangible environmental benefits and resident communication.

The inaugural Awards, which were held at Bolton Wanderers FC Stadium, celebrated FLS’ solutions to support the critical reduction of carbon emissions in line with the UK’s Net Zero goals.

FLS VISITOUR wins best approach to decarbonisation at UK housing awards
(L-R) Winners of Housing Executive’s Best Decarbonisation Approach Award, Lee Hawkes, Senior Sales and Partnerships Manager, FLS – FAST LEAN SMART with Gareth Gathern, Head of Operations for category sponsors Cyd Innovation and Chris Welsh, UK Sales Director, FLS – FAST LEAN SMART

Across the UK housing sector, FLS VISITOUR enables DLOs and contractors to cut travel distances and emissions. AI-enhanced, algorithm-driven planning reduces wasted travel, helping field teams – from repairs and maintenance operatives to compliance inspectors and housing officers – reach appointments faster while lowering fuel use and carbon output.

FLS VISITOUR minimises no-access rates and is operative-friendly thanks to intelligent real-time optimisation, including same day and rapid response.

Typical results include a 30–50% cut in driving distances, boosting capacity by more than one extra appointment per shift, with SLA adherence rates as high as 99.5%.

Comments from the Judges included:

“The Judges were particularly impressed with FLS’ innovative scheduling and planning approach, which drives efficiencies and delivers a massive reduction in carbon emissions.

“Although the technology is there to help their customer with efficiencies and reducing their carbon footprint, there are also benefits to the tenant with real time information.

“This is an innovative technology where the customer is also engaged with their self-service portal.”

Jeremy Squire, UK Managing Director at FLS – FAST LEAN SMART, added: “The FLS team is proud to have won this prestigious Award which is testament to the innovation delivered by our development and consultancy teams, as well as the critical carbon reduction efforts and results that our users have achieved.

“With the recent addition of Wates Property Services, our customers provide repairs and maintenance services to two million properties across the UK and Europe. FLS is committed to supporting the housing and wider sectors to achieve efficiency through optimisation, with reducing driving distances and minimising wasted materials presenting a huge opportunity to address carbon footprints.

“It’s fantastic to be working with so many partners across so many sectors, which together are all helping us to realise this success, with our best-of-breed dynamic scheduling unlocking huge net zero value.”

FLS VISITOUR’s groundbreaking dispatching delivers lightning-fast route optimisation, which is continually updating in the background to provide the most efficient routing for all field service teams.

FLS VISITOUR also supports tenant satisfaction measures (TSMs) and Awaab’s Law response with intelligent features such as predictive, traffic-based driving times to ensure reliable service. The software designs valuable new ways of working such as reduced depot visits and allows planning teams to factor EV charging breaks into schedules.

In a landmark move, the Chancellor of the Exchequer has announced the doubling of government funding for the integration of Artificial Intelligence (AI) in structural engineering across the United Kingdom. This pivotal decision heralds a new era in construction and infrastructure development, where advanced technology intersects with traditional engineering to redefine efficiency, safety, and sustainability.

The infusion of additional funds underscores the recognition of AI’s transformative potential within the structural engineering domain. Harnessing the power of machine learning algorithms and data analytics, AI offers unparalleled capabilities in optimising structural designs, predicting failures, and streamlining construction processes. With this increased financial support, the UK stands poised to lead the global charge in AI-driven innovation within the construction sector.

One of the primary applications of AI in structural engineering lies in the realm of design optimisation. Traditional design processes often entail iterative cycles of manual adjustments based on engineering intuition and experience. However, AI algorithms can rapidly explore vast design spaces, identifying optimal configurations that minimise material usage while maximising structural integrity. By leveraging AI-powered design tools, engineers can achieve unprecedented levels of efficiency and cost-effectiveness in project delivery.

Furthermore, AI facilitates predictive maintenance and risk assessment, mitigating the likelihood of structural failures and enhancing safety standards. Through continuous monitoring of structural health data, AI algorithms can detect early signs of deterioration or stress accumulation, enabling proactive maintenance interventions before critical issues arise. This proactive approach not only safeguards infrastructure assets but also minimises downtime and operational disruptions, thereby optimising asset management practices.

Moreover, the integration of AI technologies in construction processes promises significant advancements in project management and scheduling. AI-driven algorithms can analyse complex project parameters, anticipate potential delays, and optimise resource allocation in real-time. By automating mundane tasks and providing actionable insights, AI empowers project managers to make data-driven decisions that enhance productivity and streamline project workflows.

The ramifications of AI adoption extend beyond operational efficiency to encompass environmental sustainability and resilience in infrastructure development. By optimising material usage and construction methodologies, AI contributes to reducing carbon emissions and minimising the ecological footprint of construction projects. Additionally, AI-enabled predictive analytics enhance the resilience of structures against natural disasters and climate-related risks, ensuring infrastructure longevity and societal well-being.

However, the widespread implementation of AI in structural engineering necessitates addressing various challenges, including data privacy concerns, algorithmic biases, and workforce upskilling requirements. As such, the increased government funding must be accompanied by robust regulatory frameworks and investment in education and training programs to foster responsible AI deployment and empower engineers with the requisite skills.

In conclusion, the Chancellor’s decision to double government funding for AI in structural engineering marks a pivotal moment in the UK’s journey towards technological leadership in the construction sector. By embracing AI-driven innovation, the nation is poised to revolutionise traditional engineering practices, unlocking unprecedented levels of efficiency, safety, and sustainability in infrastructure development. As the UK charts a course towards a future powered by AI, collaboration between industry stakeholders, academia, and policymakers will be crucial in realising the full potential of this transformative technology.