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Success story
Talk to your data: Conversational AI interface to explore and visualize plastic waste data with Natural Language
GenAI-powered chatbot that lets users query and visualize plastic waste data using natural language—enabling interactive charts, faster answers, and broader access to sustainability insights.
40% increase
in data query accuracy compared to traditional SQL query
70% faster
data query execution compared to previous methods
5 seconds
to complete a query and display visualized results
Discover
What we did
01
Challenge
- Interpreting the data required deep understanding of internal data models, limiting accessibility for non-technical users
- Extracting insights depended on strong SQL and data analysis skills, creating a barrier for wider adoption
02
Our approach
- Build a GenAI-powered conversational interface that allows users to query data, generate charts, and compare metrics using natural language
- Integrate AI agents that support interactive analysis and map-based visualizations directly within the chatbot experience on the platform
- Fine-tuned the AI agents to better understand user intent, improving the accuracy and relevance of query interpretation and responses
03
Outcome
- User-friendly chatbot made it easy for non-technical users to explore data, uncover insights, and answer complex questions on their own
- Accelerated insight generation: Actionable analytics and visualizations supported faster, more informed decision-making across teams
- Scalable solution ensured reliable performance as usage expanded, paving the way for broader adoption across the organization and its partners
Challenge
Our approach
Outcome
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