What can charging piles do when connected to DeepSeek?

What is the use of connecting charging piles to AI?

For charging pile operators, their backend management system has many functions and is difficult to use. After accessing the AI ​​big model, customers can quickly get operation instructions by talking to the intelligent AI in the background.AI not only provides text instructions, but also attaches operation screenshots to simplify complex operations.
Electric car owners also encounter various problems when charging. In the past, they had to call customer service and wait for a long time. Now, car owners can use voice to consult intelligent robots through mobile applets or apps, and the robots can quickly provide solutions. In addition, DeepSeek can identify the type of user instructions and provide adaptive services according to needs, improve customer service efficiency, and reduce labor costs.
2. Data reporting function: multi-dimensional insights, on-demand presentation.
In the era of digital operations, although enterprises generally provide data dashboard services, customers have different concerns and needs for data dimensions. Especially when cross-analyzing multi-dimensional data, customizing a dedicated data dashboard for each customer requires huge technical difficulty and cost investment. However, customers' demand for data insights is growing, becoming more diverse and refined. For example, customers may want to know the company's overall profitability yesterday, the profit amount of each station, the platform and proportion of revenue sources, and even the proportion of orders from a specific charging station through a specific meter or e-commerce platform. In the past, it was difficult for companies to meet such complex and personalized multi-dimensional data reporting needs in a comprehensive and timely manner. Today, with the integration of AI technology, with the help of the powerful computing and intelligent algorithms of large models, the system can quickly extract the data required by customers from massive data, flexibly combine and deeply analyze, and present it in an intuitive form, greatly meeting customers' needs for diversified data analysis and accurate insights, and providing strong support for decision-making.
3. Data Capture, Processing and Analysis: Deep Mining, Intelligent Drive.
The powerful data capture, processing and analysis capabilities demonstrated after accessing AI big data are the core competitiveness of the system and the most critical part of the entire business system.
(I) Customer service optimization: continuous improvement based on data insights
The AI ​​system can collect and organize past customer problems, and use data analysis algorithms and natural language processing technology to summarize the pain points, difficulties and common types of problems that customers encounter when using products or services. Based on this, enterprises optimize product functions and usage processes, improve knowledge bases, improve service quality, and enhance customer satisfaction and loyalty.
(II) Operation management: data-driven accurate decision-making
From the perspective of operation management, the AI ​​system can capture massive amounts of data on charging pile stations, equipment and users in real time, including multi-dimensional information such as equipment status, charging time, and user habits. Through in-depth analysis of complex algorithms, enterprises can gain insight into operating rules and identify problems and optimization points. For example, by analyzing the charging needs of stations at different times, charging pile resources can be reasonably allocated to improve equipment utilization; personalized marketing plans can be formulated based on user charging habits to enhance user stickiness. Finally, the AI ​​system presents the processed data to customers in an intuitive form, helping them to accurately grasp the operating status, scientifically adjust strategies, improve efficiency, and control costs.
(III) Product development: Fault prediction and optimization upgrade
Charging piles are prone to failures in long-term operation, and AI brings new solutions. AI captures data in real time, monitors and analyzes abnormalities in a timely manner, and predicts potential failures. For example, by analyzing message data, the risk of component failure can be identified in advance, and maintenance personnel can be notified to avoid affecting users. At the same time, AI mines historical fault data, sorts out high-frequency faults and corresponding message features, and helps the R&D team optimize software and hardware, improve product stability, reduce failure rates, and provide users with more stable charging services.


AI has been fully integrated into all areas of life. In the electric vehicle charging pile industry, its application will bring new changes and opportunities. It is worth thinking about: after the electric vehicle charging pile is connected to AI, what other innovative and practical application scenarios can be expanded?