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Frequently asked questions

FAQ - Frequently asked questions

• 1. How can INGO support us in the management and remote monitoring of our technological infrastructures, such as charging stations and photovoltaic systems, guaranteeing timely intervention and 24-hour service?

  INGO offers a complete proactive monitoring and technical assistance service H24 thanks to its Control Room, active 7 days a week. Through advanced monitoring systems and the integration of AI and Machine Learning technologies, INGO detects anomalies and malfunctions in real time, automatically triggering intervention protocols. The escalation procedures are customised to each customer’s needs, guaranteeing the immediate intervention of specialised technicians only when it is really necessary, optimising time and costs. This combination of automation and human supervision ensures constant control and always available technical assistance.

• 2. What solutions does INGO offer to automate technical support and troubleshooting processes, reducing intervention times and limiting escalation to higher levels?

  INGO provides AI-based automation solutions designed to autonomously handle the majority of technical support requests, especially for first and second level troubleshooting. Intelligent systems are able to diagnose the most common problems, guide users in self-service resolution and, if necessary, collect all relevant information for a possible intervention by a specialised technician. This approach makes it possible to dramatically reduce response times, optimise operational efficiency and ensure a smooth workflow, in which only a very small percentage of requests are actually escalated to higher-level support.

• 3. How can INGO's AI and Big Data technologies help us improve the end customer experience by integrating data from connected devices, apps and digital platforms?

  AI solutions allow you to collect, process and analyse data from connected devices, monitoring apps and digital platforms, turning this information into insights that are useful for personalising and optimising the end-customer experience. For example, it is possible to anticipate maintenance needs thanks to predictive analytics, send personalised notifications based on user behaviour, and propose additional services or targeted promotions based on usage data. This integrated view makes it possible to offer a proactive, personalised and multichannel service, increasing customer satisfaction and loyalty.

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