Blog

Rising competition, slim margins, and demanding residents... the Build-to-Rent sector faces some serious pressures. Could AI be the answer to navigating these challenges and delivering that elusive 5-star resident experience?

Damp and mould are a growing concern for UK landlords. This article explores the Housing Ombudsman's response, recent fines, and practical steps to prevent and resolve mould issues in rental properties.

The property sector is facing a perfect storm of challenges: rising tenant complaints, inefficient repairs, and increasing regulatory pressure - can AI help solve these issues

Awaab's Law is transforming social housing, with the King’s Speech intimating it will also in the future impact the private sector, demanding faster responses to health and safety hazards. To comply, providers need efficient systems for resident communication, issue tracking, and timely repairs. The article will delve into what the industry needs to do to prepare for upcoming change.

UK repair and maintenance output is set to fall in 2024, putting additional pressure on social housing providers. But AI could offer a solution...

Step into the future of social housing with askporter’s AI & FLS maintenance & repairs scheduling. Intelligent chatbots handle communication and task allocation, allowing staff to focus on urgent matters. This article highlights five strategies for enhancing field service delivery, from smarter scheduling to quicker emergency response.

The social housing sector, like many industries, has been given an opportunity with rapidly advancing Artificial Intelligence (AI). As the sector faces increasing demand for streamlined communication and a more responsive approach to tenant needs, AI is a key player in automating these processes effectively. 

Together, we aim to provide an even smoother experience for customers by combining our cutting-edge AI communication solutions with FLS' innovative software allowing optimised appointment scheduling and embedded route planning for contractors.

We recently appeared in Property Week as our Managing Director, Till Eichenauer, wrote a column as part of a series of features by Property Week looking at AI in real estate.

If you’ve logged onto LinkedIn in the past few weeks, you’ll have noticed the typical crystal ball gazing that comes with the new year. From individuals predicting the next big trends, to companies prophesying their indomitable rise to the top, January is prediction season.

Damp and mould pose a significant threat in the UK, as the effects are exacerbated by the UK's climate, older buildings, and overwhelmed housing providers. No group feels the impact of this more than those living and working within the social housing sector.

The process of directing your customers to technology solutions in the age of automated messaging systems and bolt-on chatbots was daunting. The often inadequate technology seemed only to serve as a dreaded component of interacting with organisations.

The adoption of technology in the real estate market has lagged behind other industries. While sectors like logistics, retail, and banking have integrated Artificial Intelligence (AI) into their operations, the real estate industry has been characterised as a bit of a technological dinosaur.

The askporter team embarked on our biannual work retreat earlier this month, journeying to the vibrant city of Lisbon. Embracing our 'remote-first' company culture, these retreats hold a special place within the askporter family, allowing us to come together in person and foster team unity.

With rapidly advancing AI, it’s important to consider how jobs will change with increased automation. Machine learning and natural language processing models have started to play a major role in our lives. From automating data collection in key industries to providing virtual assistants, their impact on the workplace is hard to ignore.

AI has been used across various industries for decades, with automation leading to vast improvements in business and operational efficiency. The term AI actually dates back to 1955, coined by John McCarthy, who is widely considered the founding father of AI. In the early days, research was directed towards building machines with the capability to simply perform tasks autonomously, something that would typically require human intelligence.

Let’s talk about ChatGPT. Or rather, let’s allow ChatGPT to do the talking, because it turns out, it’s pretty good at it. If you’re one of the many intrigued people who have recently given OpenAI’s artificial intelligence chatbot a whirl, then you’ll know where we’re coming from. Whether you asked it to rewrite your CV, pen a bedtime story for the kids, or finish a piece of work for you, the chances are it surprised you with the calibre of its response.

When looking to adopt automation to streamline processes and drive efficiencies, businesses are often faced with an important decision – whether to purchase a ready-to-use turnkey solution, or to invest in custom software.

When looking to adopt automation to streamline processes and drive efficiencies, businesses are often faced with an important decision – whether to purchase a ready-to-use turnkey solution, or to invest in custom software.

By introducing automation technology, like our AI customer engagement platform, into their customer services, many businesses have saved considerable amounts of time and money that would otherwise have been spent on manually carrying out routine, low-value functions. In addition to this, automation has saved time and money for customers by delivering quick answers to simple questions, and solutions to non-complex issues.

For many in the tech industry, getting a job with a big brand company may be seen as a dream career move to make at such an early stage of their career. However, newcomers to the sector should know that bigger does not necessarily mean better. This is because larger corporations can often be slow to adapt to new ways of working and thinking due to their sheer size, which can act as significant barriers when you’re trying to get your foot on the next rung of the ladder.