Supercharging the future: Using AI to solve EVSE service challenges (Part 2)

In Part 1, we discussed how electric vehicle supply equipment (EVSE) manufacturers must scale their service and support efficiently to keep pace with the rapid build-out of EV charging infrastructure. 

We also explored the service and support challenges they face and how Bruviti can help EVSE manufacturers tackle them.

In this part, we will explore how Bruviti’s EVSE industry AI solution harnesses the power of AI to revolutionize support and service for EVSE manufacturers like you.

How Bruviti’s EVSE industry AI solution solves service and support challenges

At its core, Bruviti is a company that builds AI for equipment service and support. Bruviti’s domain-specialized EVSE industry solution equips EVSE manufacturers and operators with AI capabilities to resolve support issues like never before.

AI is delivered as a dedicated AI tech co-pilot configured to your needs and service setting – self-service, contact center, and field. 

Delivered as a service within your secure environment, Bruviti ensures that data remains private, with proprietary Large Language Model (LLM) training and learning, delivering reliable and consistent AI results for informed decision-making.

Here’s how Bruviti’s EVSE industry AI solution solves service and support challenges for EVSE manufacturers: 

AR-guided installation and commissioning
Bruviti’s EVSE Industry AI solution comes equipped with an AR-guided installation coach that provides step-by-step guides, conversational Q&A, and computer vision verification to ensure that each step of the installation and commissioning process is completed correctly and safely, helping technicians to complete the job the first time.

Using NOCs for station mapping
With the help of Network Operations Centers (NOCs), Bruviti ensures that all charging stations, including those in remote areas, are accurately mapped and accessible, streamlining station identification. It also enables the integration of station data across a network. Leveraging its expertise in building NOCs for smart and connected device manufacturers, Bruviti is well-equipped to empower EVSE manufacturers’ support teams for efficient corrective action.

Analytics-driven status updates
By integrating with existing or Bruviti-provided NOCs, Bruviti’s predictive analytics engine utilizes data streams to precisely monitor and report the health of charging stations, ensuring that the ‘green pin’ indicators are dependable and up-to-date. This approach significantly improves reliability and customer trust by preventing the issue of drivers encountering inoperative charging stations.

AI-enhanced field support
Diagnosing damaged parts in EV charging stations often requires scarce technical expertise. The difficulty lies in pinpointing the exact issue from a variety of potential failures, ranging from software glitches to hardware malfunctions. Bruviti’s AI tech co-pilot tool for EVSE field technicians helps overcome this challenge by reducing the need for technicians to have extensive knowledge of all network equipment. Bruviti’s tech co-pilot provides immediate access to digital documents and manuals, along with AI-powered troubleshooting capabilities, facilitating efficient problem-solving and minimizing downtime.

Technical knowledge ramp-up
Bruviti’s AI tech co-pilot solution is designed to support technicians by providing timely, relevant information during service calls. This AI-driven tool enhances learning and problem-solving by generating intuitive decision trees, which guide technicians through the process of diagnosing issues. This approach not only streamlines problem identification but also significantly reduces the time spent on triage, addressing the challenge of keeping pace with the evolving technical knowledge required for modern EVSE maintenance.

Computer vision for station maintenance
To address physical station damage, Bruviti leverages sophisticated machine learning algorithms and computer vision technology. This innovative approach transforms EV drivers into effective inspectors by enabling them to identify and report damage, thus reducing the need for initial inspection visits and streamlining the maintenance process for EVSE manufacturers.

Parts prediction
Bruviti’s AI can predict which parts are more likely to fail based on historical data and real-time performance analysis. With AI algorithms at play, technicians are dispatched with the right parts in hand, increasing the chances of completing repairs on the first visit. This minimizes downtime due to part shortages and improves your service efficiency.

Conclusion

Although there is significant growth potential, electric vehicle supply equipment manufacturers face numerous hurdles to gain traction and earn customer loyalty. 

The key obstacle for these manufacturers lies in effectively scaling their service and support capabilities to match the expansion of EV charging infrastructure. Customer satisfaction levels in the industry are currently subpar, and without substantial improvements in service quality and support, especially regarding uptime, satisfaction may decline considerably.Don’t let the service and support complexities slow you down. Request a demo of Bruviti’s EVSE solution today.