Case Study: How Badho Streamlined Data Analytics with CamelAI

Company Description & Contact Introduction

Company: Badho
Industry: Supply Chain & Trade Software
Head of Product: Manmohan Singh Charan
Website: www.badho.in

Badho is redefining the supply chain by making trade more efficient, transparent, and accessible for businesses and consumers alike. Their mission is to simplify and connect supply chain operations, helping businesses thrive by streamlining logistics and improving access to quality products.

Background Information

Before implementing CamelAI, Badho's team faced significant challenges in retrieving and analyzing data efficiently. Business stakeholders often needed access to specific data queries—such as different combinations of filtering, grouping, and aggregating data—that required human analysts’ time and effort.

Additionally, deeper data analysis required close collaboration with a human agent, leading to constraints based on availability. This lack of accessibility to insights meant that teams had to wait for analysts to extract relevant information, slowing down decision-making.

Manmohan hoped that with easier data access and manipulation through CamelAI, barriers to data would drop, leading to an increase in internal data-informed decision-making across the organization.

Implementation & Usage

Badho had previously tried a local solution, but it required extensive training and handholding. The challenges with previous approaches were:

• Lack of accuracy
• High costs
• Extensive training time

Why CamelAI?

Badho chose CamelAI because of its reasonable accuracy and almost zero training time. The implementation process was seamless, allowing the team to quickly onboard by simply pasting their database connection string and starting immediately.

Data Sources Connected:

• Postgres database
• Facebook

Primary Users:

• Currently, data analysts are testing CamelAI and enhancing its capabilities through knowledge base additions.

Usage Frequency:

• Daily

Results & Benefits

CamelAI has already started delivering measurable benefits by significantly reducing the time required for analytics tasks. While Badho is still exploring deeper business insights, some immediate advantages include:

• Time Savings: Analysts save an estimated 3-4 hours daily compared to previous methods.
• Data Democratization: Business stakeholders no longer have to wait for data analysts for every query, fostering a more data-informed culture.
• Empowering Non-Technical Users: CamelAI helps non-technical team members gain a better understanding of SQL and query logic, enhancing their ability to interact with data.

While Badho is still measuring the full impact on business outcomes, the early efficiency gains indicate promising results.

User Experience

The most valuable aspect of CamelAI’s interface for Badho’s team is the chat-based system, which makes querying data more intuitive and user-friendly. While they are still exploring dashboard-building through natural language, the initial adoption of conversational analytics has shown benefits in: - Ease of Use: No SQL knowledge required - Faster Access to Data: Immediate answers without relying on analysts - Greater Engagement with Data: More employees are inclined to explore data on their own

Testimonial Elements

For those considering CamelAI but hesitant about conversational AI for analytics, Manmohan Singh Charan offers this advice:

"Go ahead. Try it out. Knowing SQL is no longer a constraint. It’s now way easier to build a culture of data-driven decision-making when everyone is hooked on CamelAI. It has never been this convenient to get relevant data!"

Impact Statement:

“We’re setting up CamelAI to handle daily data duties for business stakeholders while enabling data analysts to use CamelAI for deeper analytics collaboration.”

Conclusion

Badho’s experience with CamelAI demonstrates the power of conversational AI in transforming data accessibility. By reducing the reliance on human analysts for routine queries and enabling a more data-informed culture, CamelAI is helping Badho streamline decision-making, improve efficiency, and drive better business outcomes. As they continue to explore deeper analytics capabilities, the potential for CamelAI to revolutionize Badho’s data-driven operations remains significant.