Case Study: How Badho Streamlined Data Analytics with CamelAI
Company Overview
Company: Badho Industry: Supply Chain & Trade Software Head of Product: Manmohan Singh Charan
Badho focuses on making trade more efficient, transparent, and accessible by simplifying supply chain operations.
The Challenge
Badho's teams struggled with retrieving and analyzing data efficiently. Business stakeholders needed specific queries that required analyst time, and deeper analysis required close collaboration -- creating bottlenecks based on analyst availability and slowing decision-making.
Why CamelAI
Badho selected CamelAI for its "reasonable accuracy and almost zero training time." Previous local solutions required extensive training and exhibited accuracy and cost issues.
Implementation
- Data sources: Postgres database and Facebook
- Primary users: Data analysts
- Usage frequency: Daily
Results
The organization achieved significant efficiency gains:
- Analysts save an estimated 3-4 hours daily compared to previous methods
- Business stakeholders no longer wait for routine queries
- Non-technical users better understand SQL and query logic
- The chat-based interface proved most valuable, requiring no SQL knowledge while enabling faster data access
The Impact
With CamelAI, everyone adopting the platform removes SQL as a barrier, making data-driven culture adoption significantly easier than previously possible. The Head of Product emphasized that when the entire team can access data independently, the organization moves faster and makes better decisions.
Key Quote
"Go ahead. Try it out... It has never been this convenient to get relevant data!" -- Manmohan Singh Charan, Head of Product
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