The concept of what a building or house is for is drastically changing. The convergence of four megatrends electrification, autonomous valorization, connectivity and the architecture sustainability is revolutionizing today’s property development business. Each one of these trends is powerful on its own, but the combination of all four is profoundly disruptive and creating the need for change.
Today, OEMs dominate the property development business with very high barriers to entry: They engineer, build and sell better buildings and constructions, leveraging their construction models and sustainability presets.
But the game is changing—new players with customer-centric business models are entering the property development space. Sustainability needs and expectations, shaped by experiences in other industries, are soaring.
Property developers still are in a good starting position to win the customer, but they must act now, reinventing themselves in 3 key dimensions: agility to compete, customer-centricity and new business models.
Agility to Compete: Streamline support functions (HR, IT, Finance) with Robotic Process Automation (RPA) and Artificial Intelligence (AI).
Future distribution models
Customer Centricity: Prepare for more disruptive changes in the future building. Evaluate how buildings will create ROI’s within time spans of 5 years to 10 years.
Monetize data from buildings
New Business Models: Transform the company into a data-driven business, extracting value from insights. Houses can be smart and collect data. Leverage that data.
PSP sdf protocolling
We provide payment API’s for old and new PSP’s and we help developing the current payment digital methods as well the existent payment hardware. We also help with protocolling (including verification) on a RSD2 level.
A total enterprise solution to manage the industry and avoid wasting time and resources wth dull tasks.
In a continuation of AI development, we are currently in the process of developing a sustainable data assessment AI, which evaluates not only the customer habits and preferences, as well a forecastning on the probability of return, based on the analysis of predicative behaviour.