TabSquare vs Thunderbit

Delivers personalised dish recommendations, pre-arrival discovery and automated marketing that turns first-time diners into returning guests.

A scan-to-view menu with vibrant reels of signature dishes and smart recommendations that reduce wait times by an estimated 25% and lift average bill value by around 15%.

In-store payment completed in a simple tap, speeding up table turns by roughly 24% while removing friction from the end of the meal.

Captures guest data and ordering behaviour across every visit, powering loyalty programs and targeted campaigns from a unified customer profile.

Open a page, click extract, and AI proposes the fields worth capturing and returns structured rows — no CSS selectors or drag-and-drop setup.

For popular sites like Amazon, eBay, and Google Maps, pre-built templates return consistent fields instantly without spending AI credits.

Thunderbit can open linked pages and pull details from them, so a results list and its detail pages become a single table in one run.

Summarize, categorize, translate, reformat, or calculate fields as part of the scrape, so exports arrive ready to use.