Suez : Geospatial AI Agent for Sales Teams

Suez, a global leader in water and waste management for over 160 years, designs and implements custom local solutions to protect resources and improve quality of life.

Identifying the Most Relevant Sites for Tenders
For waste treatment tenders, Suez needed to quickly identify the most relevant treatment sites, considering geographical, regulatory, operational, and economic factors. Manually consulting multiple sources of raw data made this process long and repetitive for the sales teams.

A Custom AI Solution with Rokodo
To address this challenge, Suez partnered with Rokodo, a specialist in enterprise AI solutions, to develop a business AI agent capable of automatically filtering sites based on criteria expressed in natural language and presenting them on an interactive map. This immediate visualization allows sales teams to quickly understand the available options and focus their time on strategic analysis and preparing tender responses.

Advanced Technical Architecture
Technically, the agent is built on a GPT LLM model, enhanced through Few-Shot Learning fine-tuning. The NL to DSL approach converts natural language into precise queries, ensuring accurate results, fast response times, and maintaining data confidentiality and integrity. The agent’s memory management also enables continuous dialogue with the user, ensuring contextualized and relevant answers.

Concrete Benefits for Sales Teams
Automating these tasks with the AI solution has enabled Suez sales teams to respond faster to tenders, identify relevant sites efficiently, and visualize results clearly and instantly on an interactive map, while maintaining a consistent record of interactions with the agent.

Transforming a Complex Workflow into an Interactive Process
This approach has transformed a repetitive and complex process into a fast, reliable, and interactive workflow. Sales teams can make quick, strategic decisions, reduce the risk of errors, and focus on strategic analysis, all while having a complete and precise view of sites and associated criteria.