No. 001 · Music Touring & Travel

From manual operations to an AI-assisted pipeline.

The problem

Valise books hotels for touring bands across North America — 57 bands and more than 7,100 rooms in 2026 alone. Every tour meant the same manual grind. An itinerary lands: forty days on the road, a dozen cities, group bookings in each one. Each city got its own spreadsheet. RFPs went out to multiple hotels per city. Quotes came back by email — sometimes 150 in a single hour — and every price and term was copy-pasted into the right sheet by hand. Sending the RFPs for one big tour took three to four hours.

Off-the-shelf tools had already failed the founder’s ten-minute test: “If I can’t learn this in 10 minutes, it’s too complicated. I’m out.”

The route taken

Inside the operation: where the hours actually went, mapped and measured.

The system shipped

A custom booking platform, built AI-native. Judgment stays with the team; the grind doesn’t.

01

Tour Import

Upload an itinerary; the system builds the full tour structure — every stop, city, and date.

02

Automated RFPs

Quote requests across an entire tour go out in minutes, not hours.

03

AI Quote Parsing

Hotel replies are read automatically; pricing and terms land structured, not copy-pasted.

04

Quote Comparison

Every quote in one view. No spreadsheet assembly.

The Valise booking platform dashboard: active tours, bookings, RFP quote rate, and action items

Valise ran real tours through the platform from the first weeks — issues were found and fixed inside actual work, not test scenarios.

Measured outcomes

RFPs for a full tour

3–4 hours10–15 min

150 hotel emails processed

Hours15–20 min

Time returned, daily

UnderwaterHours back

What surprised me most? It just works.
Mitchell Levine · Valise Travel