Case Study: Grubhub achieves 75–80% faster menu onboarding with Invisible Technologies

Grubhub cuts menu onboarding time by 75-80% with Invisible Technologies

Grubhub, a leading U.S. food delivery marketplace, faced a significant challenge in onboarding new merchant restaurants. The process required manually extracting and reformatting menu data from various unstructured sources like PDFs and photos, which was slow, error-prone, and delayed merchants from generating revenue on the platform. To solve this, Grubhub partnered with Invisible Technologies to implement an AI-powered solution.

Invisible Technologies built an automated pipeline using intelligent routing and custom AI agents to process the menus. The solution included a human-in-the-loop quality assurance step to ensure accuracy. This approach resulted in a 75-80% decrease in menu extraction handling time and achieved a 98% quality rate, allowing Grubhub to process over a thousand menus per month and get merchants operational much faster.

GrubHub