The Challenge
Repuestos COYBO, a leading automotive parts company, had accumulated over 300,000 records in Excel spreadsheets. The team needed a more efficient way to analyze sales trends, seller performance, and customer intelligence. Manual data consolidation for reports consumed valuable team time.
The Solution
We developed custom analytics dashboards transforming historical records into actionable business intelligence with executive KPIs, trend analysis, customer insights, and AI-powered recommendations by Gemini. Built with React and Vite, using SQLite for offline-first local processing of millions of records.
Key Features
- Executive KPI dashboards
- Trend analysis and business intelligence
- AI-powered recommendations (Gemini)
- Offline-first architecture for sensitive data
- Local processing of millions of records with SQLite
Results
Repuestos COYBO achieved a 95% reduction in time spent on data analysis. Historical records are now visualized in interactive dashboards with Gemini AI recommendations.
1M+
records analyzed
95%
time reduction
2
dashboards
Client Testimonial
"IQ Source, through Ricardo Argüello, developed a custom tool for our company that has transformed our data analysis for 2026. Thanks to this solution, we have been able to align our objectives and improve operational precision for the benefit of our clients. They are the perfect ally to maintain the level of personalized advice that characterizes us."
Tech Stack
Frontend
AI
Database
Frequently Asked Questions
The system processes over one million historical records from Excel spreadsheets, transforming them into interactive dashboards with visual analytics and artificial intelligence.
Gemini AI generates data-driven business recommendations: identifying growth opportunities, suggesting strategies, and providing actionable intelligence that was previously inaccessible.
A 95% reduction in time spent on data analysis was achieved. What previously required hours of manual Excel consolidation is now visualized instantly in interactive dashboards.
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