Conversational AI Assistant for Sales Support
Client
Big company in Corporate Communications
Sector
Telecommunications
Revenue
€ 3.3 B (2024)
Client
Big company in Corporate Communications
Sector
Telecommunications
Revenue
€ 3.3 B (2024)
From challenge...
Improvement of the commercial process and access to information:
- Reduction in the time needed to search for and find information
- Increase in the quality of responses provided to customers
...to result
35% faster information retrieval, 20% fewer internal clarifications, and a 10% lift in qualified-lead conversion.
From challenge...
Improvement of the commercial process and access to information:
- Reduction in the time needed to search for and find information
- Increase in the quality of responses provided to customers
....to result
35% faster information retrieval, 20% fewer internal clarifications, and a 10% lift in qualified-lead conversion.
The solution
A conversational AI assistant powered by generative AI and integrated into the client’s solutions catalog. It supports sales teams in discovering and understanding proposals. Using RAG, it retrieves only approved catalog content and delivers clear summaries as well as more in-depth explanations. Automated synchronization keeps responses aligned with catalog updates, while context management minimizes repetition.
We implement a Conversational AI Assistant for Sales Support integrated into the digital solutions catalog, designed to:
- Provide accurate answers by querying only the catalog’s controlled knowledge base
- Guide solution discovery through a structured conversational flow based on the user’s need
- Deliver clear, customer-ready summaries plus detailed explanations aligned with catalog content
- Preserve conversation context to reduce repetition and improve continuit
- Keep responses up to date through automated synchronization with catalog updates
Technology stack
- Google Cloud Run to support scalable, container-based services that handle traffic peaks
- Google Vertex AI Search to support catalog knowledge retrieval
- Dialogflow CX to support the conversational experience and structured dialogue flows
- Firestore and Google Storage to store and manage catalog data and documents
- Cloud Scheduler to automate synchronization processes and keep content up to date
- Gemini to power generative responses
- Centralized authentication and role-based access control to protect data and restrict access to authorized users
- Logging and monitoring to enable observability, quality control, and iterative improvements
- Pay-per-use execution to reduce idle costs compared to traditional VM-based deployments