The concept of what a energy sector is for is drastically changing. The convergence of four megatrends electrification, autonomous valorization, connectivity and the landscape or grid sustainability is revolutionizing today’s energy 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 energy sector with very high barriers to entry: They engineer, build and sell better grids and accumulators, leveraging their construction models and sustainable presets.
But the game is changing—new players with customer-centric business models are entering the energy space. Sustainability needs and expectations, shaped by experiences in other industries, are soaring.
Energy producers 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. Solar is not new, but Hidropowering, Geopowering or even biopowering is. Invest on the areas that can change the future of our kids.
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 griding. Evaluate how grid connections can increase flows and measurements.
Monetize data from resources
New Business Models: Transform the company into a data-driven business, analysing and researching the existent energic resources.
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.