Agorastore Chatbot: How to Automate 97% of Requests and Discover a New Use Case?
Matthieu Gallais, Customer Experience Manager at Agorastore, shares his experience with the tolk.ai chatbot solution.
He explains how this tool has transformed request management and improved the customer journey. The chatbot enables Agorastore to automate repetitive tasks and better qualify requests.
Before the chatbot’s deployment, Agorastore struggled to qualify requests.
Existing channels, such as email, phone, and Zendesk, generated a significant volume of repetitive questions daily.
Consequently, customer service team members had to read each message, understand the request, and respond quickly. Furthermore, they spent a lot of time filtering similar questions and providing standardized answers.
In short, this situation slowed down customer service responsiveness and increased the operational workload.
Feedback
With the tolk.ai chatbot, Agorastore automatically filters requests based on user behavior. The chatbot quickly identifies needs and prioritizes requests. Teams can then focus on complex or high-value interactions.
Simon Sallandre, Operations Manager at Agorastore, highlights the chatbot’s ease of use and the support provided by tolk.ai to optimize its performance.
Today, the chatbot achieves 97% automation without human intervention and reduces negative feedback to 3%. Indeed, it converts 60% of incoming leads via the new use case. These interactions have generated an additional €200,000 in revenue. The results show that the tolk.ai chatbot is becoming a strategic tool. It improves request qualification, automates repetitive tasks, increases customer satisfaction, and generates new business opportunities.
The success of Agorastore demonstrates that the tolk.ai chatbot can become a strategic tool for improving request qualification, automating repetitive interactions, and maximizing business potential.