GPT-4o–Powered Insight Engine Reduces Reporting Effort by 60%
Automotive, Insight Automation
Background
A global luxury automotive manufacturer sought to simplify access to complex performance metrics (Gold Layer KPIs) across sales and service. Business teams relied heavily on SQL experts for reporting, resulting in delays, limited transparency, and reduced agility in decision-making.
Impact
- 60% reduction in manual reporting effort through natural language query automation
- Empowered business teams to self-serve insights without SQL expertise
- Accelerated decision cycles with faster, on-demand access to KPIs and trends
- Improved data literacy and trust via explainable AI and transparent logic
- Scalable foundation for expansion into other domains and data use cases
Solution
Affine developed a web-based insight engine powered by Azure OpenAI’s GPT-4o, enabling business users to access structured data using natural language:
- Enabled natural language–to–SQL translation, allowing users to ask plain-English questions to retrieve KPIs and trends
- Built a conversational UI with chat history for seamless recall and reuse of insights
- Integrated a “SQL Critic” module to validate and ensure the correctness of AI-generated queries
- Added explainability features, including transformation logic and plain-language summaries of results
- Leveraged data dictionaries and business metadata to contextualize and tailor responses
- Enabled auto-visualization of outputs for faster insight consumption
Impact
- 60% reduction in manual reporting effort through natural language query automation
- Empowered business teams to self-serve insights without SQL expertise
- Accelerated decision cycles with faster, on-demand access to KPIs and trends
- Improved data literacy and trust via explainable AI and transparent logic
- Scalable foundation for expansion into other domains and data use cases
Recommended Case Studies
Talk to the experts!
