Case Study: Lilac Labs achieves drive-thru order accuracy with Hamming AI

Hamming enables Lilac Labs to proactively deliver accurate and efficient AI drive-thru ordering

Lilac Labs, a Y Combinator startup, was facing the significant challenge of ensuring accuracy for its AI-powered drive-thru order taking system, which had no margin for error given the potential for health incidents and customer dissatisfaction. Before using Hamming AI, their team spent hours daily on manual testing, which provided limited coverage for critical edge cases like complex orders and dietary restrictions.

Hamming AI implemented a comprehensive automated testing solution that included generating thousands of test scenarios, running concurrent tests, and monitoring real production calls to create new test cases automatically. This approach resulted in Lilac Labs running 130,000 automated tests annually, saving 5,200 hours and $520,000 in run-rate cost savings each year, while dramatically improving their ability to catch potential failures before they reached customers.

Lilac Labs

Tony Kam

Co-Founder & CEO