A rapidly growing OTA was losing money to silent booking failures. HCN catches them, fixes them, and gets the guest checked in like nothing was ever wrong. No angry customers. No chargebacks. No CX team scrambling.
By shifting from reactive handling to predictive validation, HCN protected revenue that would have been lost to chargebacks, refunds, and check-in failures.
A rapidly scaling Online Travel Agency, distributing hotel inventory across multiple consumer brands. As the user base expanded, scale exposed the weak points: back-office processes, multilingual support, and most critically, the integrity of the booking pipeline itself.
In Q3 2025, the client processed over 540,000 reservations. 89% confirmed cleanly. The remaining 11% carried hidden risk factors that would only surface when the guest stood at the front desk.
Across all brand channels
Validated end-to-end
Flagged for intervention
Each of these failures was solvable on its own. But layered together, they created a constant drip of preventable revenue loss, visible only after the guest had already arrived at the property.
No structured process to audit bookings before check-in. Issues surfaced only when the guest had already arrived at the property.
OTA records, supplier feeds, and hotel PMS frequently disagreed. On availability, on payment instructions, on guest details. Each mismatch was a failed check-in waiting to happen.
Peak booking periods overwhelmed CX teams. Agents had to investigate and resolve in parallel, with no triage signal telling them which tickets were critical.
Cancelled bookings, missing VCCs, unregistered reservations. The operating model only saw them after the failure. By then, the chargeback was already in motion.
The exposure sitting inside the 11%. Money that would walk out the door as refunds, chargebacks, and goodwill credits if nothing changed.
When we instrumented the pipeline and segmented at-risk bookings by failure type, the picture got concrete. Two distinct tiers of failure, very different unit economics.
Volume per quarter. Failures that would block check-in if not intercepted.
Discrepancies between OTA, supplier, and hotel records. Not always blocking, but each one a guest experience risk.
A four-stage triage flow that took raw inbound volume and routed each booking by risk. Most pass through clean. The remainder is structured and prioritized for human intervention before guest arrival.
A continuous validation framework sitting between OTA, supplier, and hotel. Designed not to resolve issues, but to detect, segment, and route them before the guest ever reaches the front desk.
Continuously audits the full booking pipeline, validating data accuracy across every system touchpoint.
Identifies at-risk bookings and tiers them by severity, classifying critical cases before they escalate into guest-facing failures.
Routes each fault type to the right team. 4.96% no-booking, 1.16% VCC gaps, 0.56% cancellations, plus MCD sub-types.
Critical cases are surfaced and escalated in advance of guest arrival, giving operators time to intervene rather than apologize.
No angry customers. No cancellations. No chargebacks. And the CX team did not have to scale to absorb the failures.
Recovered from what would otherwise have walked out the door as chargebacks, refunds, goodwill credits, and lost lifetime value from frustrated guests.
Bookings that would have failed at the front desk got fixed quietly behind the scenes. Guests walked up, handed over their ID, and got their key. No re-explaining, no apologies, no “your booking has been cancelled” moments.
$1.19M+ stayed on the books that would otherwise have walked out as refunds, chargebacks, and goodwill credits. Plus the harder-to-quantify hit of one-star reviews and lost repeat bookings.
Predictive triage stabilized inbound CX volume even as bookings grew. The OTA did not need to hire a parallel army of agents to absorb failure-driven escalations. Smaller, more focused ops, lower opex.
30-min call, your numbers, our scoping. We come back with a 90-day pilot plan against the metrics that matter for your operation.