Recommendation Engine
AI and algorithms to recommend products and services adapted to each consumer’s profile.
Data at the service of energy efficiency
Based on advanced algorithms and artificial intelligence, this new tool analyzes thousands of data points and variables to provide a precise overview of consumers’ usages, thereby identifying their most accurate needs.
This data can be collected directly from the customer’s profile (consumption index, load curve, housing type, etc.), from public sources (e.g., weather) or can be entered directly by the customer.
As an energy player, this diagnostic allows you to recommend less energy-consuming equipment and services, tailored to the customer’s scoring appealing, thus enabling a precise targeting.
Varied recommendations, aligned with new uses
Comprehensive and scalable, this recommendation engine applies to various uses:
- Energy renovation work, such as wall, roof, and window insulation
- Replacement of equipment, such as a gas boiler in favor of a heat pump
- Installation of solar panels, promoting self-consumption
- Replacement of a thermal vehicle with an electric vehicle
- Installation of a home charging station
An API-first approach that easily finds its way within your ecosystem
Designed with an API-first approach, the recommendation engine developed by Datanumia is seamlessly deployed within your existing tools, thereby enhancing the services already offered to your customers.
It can be implemented within your digital ecosystem: institutional website, customer portal, internal advisor tools. Il you don’t have a dedicated interface, we also offer one!
Don’t have a dedicated interface?
Additionally, it can also be utilized via our Relationship Program service with the implementation of targeted email campaigns offering a personalized recommendation journey.
Contact-usA tool developed to address your key priorities
Using our recommendation engine is a way to enhance your understanding of your customers in order to address their key needs based on a precise targeting.
At the same time, its implementation helps retain your clientele by offering them new high-value services: recommending relevant and personalized actions increases the trust in your entity, thereby reducing churn.
Moreover, promoting more economical and ecological solutions impacts your customers’ bills, their carbon footprint, and the energy performance of their buildings, thus improving overall customer satisfaction regarding energy.
An example of application
Heat pump campaign: after analyzing gas consumption through our calculation engine, over 200,000 individual customers were identified as suitable for switching from a gas boiler to a heat pump.
The entire panel was thus contacted by email - via our Relationship Program service - to promote the heat pump and offer a simulation of the savings achievable by replacing their heating system.