Case Study: Lula achieves 30 hours of weekly data savings with Fabi.ai

How Lula cut 30 hours a week of data work by automating data

Lula, a platform that helps convenience retailers and QSRs bring their businesses online, faced significant data analysis challenges. With a small team, manual processes for extracting and analyzing data from their PostgreSQL database created bottlenecks. This led to abandoned analyses and delays in resolving critical issues like transaction disputes, which impacted revenue and created potential legal liabilities.

By implementing Fabi.ai, Lula automated its data workflows. The platform's integrated SQL, Python, and AI environment allowed the team to quickly generate queries and push alerts to Slack. This solution eliminated 30 hours of manual work per week, resulting in approximately $11,000 in annual cost savings, and enabled the company to scale its operations efficiently.

Lula

Adit Gupta

CEO & Co-founder