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A common problem faced by electric vehicle drivers is the lack of transparency regarding the availability of charging points. Our solution: SIQMA FlowMax.AI. SIQMA FlowMax.AI not only enhances the charging experience for EV drivers but also helps charge point operators optimize utilization and throughput at their locations.
SIQMA FlowMax.AI leverages advanced AI-based algorithms to accurately predict the occupancy duration of each charging station. EV drivers can quickly see how many charging points are currently occupied, when a charging point will become available, and whether it is worth waiting.
This transparency increases the efficiency of your charging stations, strengthens customer loyalty, and maximizes the success of your charging park.
In combination with SIQMA Sign, our powerful digital multimedia display, operators can conveniently display current charging fees and advertise special offers to further enhance customer loyalty.
The technical architecture of SIQMA FlowMax.AI features a cloud-based, user-friendly platform that takes multiple input parameters into account, such as weather, charging curve, location, and surroundings. The machine learning model predicts the occupancy duration, which can be accessed through various methods, including an open API for third-party integrations and SIQMA Sign for presentation at charging stations. Experience the future of charging with SIQMA FlowMax.AI – our smart solution for an efficient and transparent charging experience.
Product highlights
Media display
Enhance the customer experience with our fully customizable media display. Showcase tailored content such as tariffs, advertisements, and other media to engage and inform your customers. Integrated with our cloud-hosted CMS and SIQMA Charge Cloud for seamless charging data integration, our media display offers convenience and ease of use for both operators and EV drivers.
Occupancy prediction
Make informed decisions with our AI-based charge point occupancy prediction feature. Utilizing charge session data, our system accurately forecasts when a charge point will become available again. This allows EV drivers to plan their charging sessions effectively, resulting in increased satisfaction and optimized charge point utilization.
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