Increasing the productivity of knowledge workers has been called the biggest management challenge of the 21st century. The biggest opportunity for addressing this challenge is improving the indoor environmental quality (IEQ) in office buildings. It is estimated that €70-190 billion is lost due to non-optimized office environments in Europe and the US.
720° is a unique sensor-based solution that improves the productivity and well-being of office workers by analysing IEQ in real time and automatically taking measures to ensure optimised working conditions. 720 Degrees helps its customers to turn office buildings into an employee productivity management tool. It increases employee productivity by at least 10%, improves health, cuts absenteeism, reduces the number of complaints and saves time and money for facility managers. The key enabler for the solution is company’s proprietary IEQ database (the most comprehensive in the world) that has been used to train 720 Degrees’ proprietary machine learning algorithms to provide unprecedented insights on the IEQ.
The IEQ monitoring solution was launched in 2014 and is currently used by more than 100 customers. They have successfully applied the 720° monitoring solution in their first buildings, but are now waiting for the automated IEQ improvement functionality to become commercially available before applying the 720° solution across their whole building portfolios. The finalisation of this functionality, strengthening of company’s commercialisation capabilities and preparation for fast expansion are the main objectives of the 720IEQ project. The execution of the commercialisation action plan is expected to increase the revenues to €44 million in 2022, and to €100 million (2% market penetration) in 2024 through further expansion to the US.
- NaturwissenschaftenInformatik und InformationswissenschaftenDatenbank
- SozialwissenschaftenSoziologieindustrielle BeziehungenAutomatisierung
- SozialwissenschaftenWirtschaftswissenschaftenBusiness und ManagementGeschäftsmodell
- NaturwissenschaftenInformatik und Informationswissenschaftenkünstliche Intelligenzmaschinelles Lernen
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