Case Study

Analytics platform for EV charging data analysis

"SoulPage is driven by a passion to create and deliver on new ideas and that is reflected in their work. It is a team that strives for excellence and is open to experimenting and creating new trends in the business. Our work relationship has been productive and we have collectively been able to achieve great results. SoulPage is readily available 24*7 for support."

– Ram Punamraj

Co-founder of Yitsol

Problem

Analyzing the data captured from EV charging stations and extracting valuable business intelligence reports is a huge task. And for businesses to keep up with changing EV market dynamics, upgrading charging facilities can be a competitive advantage.

Our client is a tech company, with expertise in product development centers in the US and India. They have reached us for the development of an analytics-based solution, that leverages advanced technologies like machine learning, IoT, and big data analytics in their offerings to the IoT, Telecom, and Enterprise Application domains. Seeking our expertise to widen their potential with working EV data and offering personalized insightful information to serve their clients in optimizing their EV operating streamlines.

Challenges

To analyze real-time data, and to consistently keep up with changing electric vehicle chargers dynamics and requirements with insights to provide timely, resilient, and relevant data to scale up their businesses and improve various aspects of their operations, analysis, and predictions for dynamic decision-making is a challenging task.

Solution

Our expert data scientists and data analysts developed a descriptive and predictive-based analytics platform that is entirely built on open sources and has secured with advanced robust architecture deliver real-time insights which automate and update according to changing dynamics in data for effective decision making.

Our optimized analytical decision support platform is: