The chatbot now accounts for almost 4,000 conversations a month, covering around a hundred different purposes. Specific updates have been implemented, such as Covid-related questions. Despite this success, the IRCEM teams realized that the number of emails was continuing to rise... The chatbot does indeed have its limits: some customers don't want to talk to what they consider to be a robot. Others prefer to write emails in order to be more precise.
A new Design Thinking session has enabled us to imagine another use for AI within an assisted messaging system. The principle: when the customer enters the content of his email in a dedicated window, the AI analyzes his texts to provide him, in real time, with general or personal information taken from his IRCEM data. In the end, if the customer does not obtain the satisfactory information at the time of entry, his message leaves to be processed in the traditional way by an advisor. "Since the launch of this service 9 months ago, we have observed that the assistant is activated 7 times out of 10. And following its intervention, between 5 and 10% of people finally decide that sending their message is no longer necessary," summarizes Ludovic Decarpigny.
Recruiting employees to manage customer relations is becoming increasingly complex. While AI can help reduce incoming flows of requests and therefore control workloads, it should also enable us to go further.
This is the medium-term ambition of IRCEM, which wants to "augment" the advisors thanks to AI, by making it easier for them to search for documents in the database and extract data.... This will free them from the most repetitive tasks, giving them more time for higher value-added tasks. For Ludovic Decarpigny, "it's a double opportunity to offer a more precise, rapid and efficient customer service, while offering our advisors a more attractive mission."