Case Study: HotelTonight achieves scalable, self-serve supply chain and product analytics with Looker

HotelTonight uses Looker to improve supply chain and product analytics across a rapidly growing business

HotelTonight, a fast-growing mobile marketplace for last‑minute hotel bookings, was collecting billions of transactional events but lacked fast, flexible analytics. Sales, product, and account teams relied on manual MySQL queries, Ruby on Rails reports, and ad‑hoc Excel exports that created engineering bottlenecks and slowed decision‑making as the business scaled.

HotelTonight moved its event data to Amazon Redshift and adopted Looker as the single source of analytics, giving business users a self‑serve, natural‑language way to explore data and share reusable frameworks. The change unlocked deeper supply‑chain and product insights—driving better pricing, forecasting, promotions, and partner relations—expanded planning horizons from about a week to up to a year, and led to broad adoption (about 60% of staff) and more data‑driven decisions across the company.

Hotel Tonight

Jamie Davidson

VP Product