This module is the first within Insight to leverage artificial intelligence (AI) and machine learning (ML) to analyze and understand customer behavior. With it, Tekniska verken can more easily and efficiently deliver tailored approaches to each customer segment, based on accurate and up-to-date data.
Customer Segmentation: More Efficient and Precise
The module in Quant Insight provides Tekniska verken with detailed analysis of customer behavior, which is essential for understanding and predicting energy consumption. This includes everything from electric vehicle (EV) charging to general household electricity use. With this module, Tekniska verken can identify and respond to usage patterns.
“Our module enables Tekniska verken to classify their customers more accurately using AI, leading to more precise and relevant data for each individual customer,” says Magnus Chöler, Sales Director at Embriq.
Easily Identify Trends
One challenge Tekniska verken is beginning to observe is high power usage in certain customer segments, such as those purchasing EVs. With the Customer Segmentation module in Quant Insight, Tekniska verken can more easily identify and manage potential consumption challenges. By analyzing available data, they can quickly detect and respond to trends that may lead to overload.
“The Customer Segmentation module gives us better visibility into our customers’ electricity consumption, making it easier to identify trends and prevent overload,” says Roger Abrahamsson, Development Engineer at Tekniska verken.
About Tekniska verken
Tekniska verken is a leading provider of sustainable energy and infrastructure solutions with over 120 years of experience in the field. They offer services in renewable energy production, waste management, and water purification. The company is known for its innovation and aims to achieve zero fossil emissions by 2045. Tekniska verken is recognized for its reliability and commitment to a sustainable future.
Learn more about Tekniska verken here (link placeholder).