There is a lack of valid, robust data analysis in relation to construction waste across the UK. This means that forecasting in terms of volume of waste produced and the associated cost is unpredictable at best, and guesswork in the worst cases. There is demand within the construction industry for better cost and waste estimation; ConstructionWastePortal.com will provide forecasts which meet both of these needs, while delivering better interfacing and more circular commercial opportunities between the construction and resource management industries. Not only does the website provide a platform for cost certainty and planning, it provides a platform for driving best practice in waste minimisation and resource efficiency.
Overview Of Start-up
The website applies data science to waste data from 972 completed construction projects across the UK to produce accurate forecasts of waste tonnage and type to drive resource efficiency. It also provides access to live market commercial rates allowing projects to be derisked commercially from overspend on waste. Visit here for more information: https://www.constructionwasteportal.com/purpose
What Makes The Start-up Innovative
With this concept and product ConstructionWastePortal.com is essentially creating an uncontested new market and problem solution. There is no competing software application serving this niche market and it has both Copyright and ‘Trade Secret’ protected intellectual property rights assigned. Comments received from construction companies, waste companies and industry bodies during feasibility assessment and development phase described the website as “a game changer.”
How The Start-up Has Been Designed To Scale Up Quickly
ConstructionWastePortal.com has developed an intelligent system; the more data collected, the smarter the system becomes. This continual evolution of improved datasets only serves to make market penetration even more difficult for any potential competitors. Its USP is that it has created a self-replicating, reinforced data solution which is adaptable to cover any sustainability driven target or benchmark provided that a robust enough dataset is in place. The hard work in developing the waste market-based model has been done; this makes adaptation to cover forecasts for energy use, fuel use, water consumption or any other metric a metaphorical “copy and paste” once a dataset has been generated. As climate change legislation becomes more prevalent, the model could easily adapt to produce full carbon-led profiles of a project through carbon impact from construction, to embodied carbon of the materials used while complementing other digital platforms such as BIM.