Decision-friendly search
Structured destination search, filters, room options and rate comparison around fast, confident booking decisions.
AI-assisted travel · Web platform
iOL Edge & B2B
A self-service hotel booking and administration experience for trade buyers working with live inventory, dense operational data and multi-tenant configuration.
Select a screenshot to view it at full size. Booking and account details are demo data.
The product
challenge.
Turn hotel inventory, rates, booking states, guest details and tenant configuration into an interface that feels calm—even when the underlying travel workflow is anything but simple.
Operational clarity
Built scan-friendly booking lifecycle, guest, notice, payment and reference surfaces for day-to-day travel operations.
AI in the workflow
Integrated AI-facing configuration and assistant surfaces while using AI-assisted development for iteration, testing and content QA.
Contribution & evidence
My scope
Frontend implementation across B2B booking and administration.
Engineering focus
Search results expose room options, meal plans, cancellation terms and prices together. Booking detail separates guests, policies, payments and references, so dense operational information can be scanned in context.
What shipped
Delivered search, booking-detail and tenant-management interfaces. The screenshots below demonstrate the implemented surfaces with fictionalized account and booking data.
AI work spans assistant configuration and user-facing interfaces, alongside AI-assisted development and review.
ReactTypeScriptNext.jsTanStack QueryREST APIsMulti-tenant UIAI surfaces