A channel manager that "integrates" with your hotel property management system on paper can still leave you with overbookings, rate parity mismatches, and manual double-entry in practice. This scorecard gives you a structured way to test integration depth before you sign, not after a guest shows up to a room that was sold twice.
Who this is for: hotel operators, revenue managers, and IT leads evaluating booking engine or channel manager vendors, whether replacing an existing system or launching a new property.
Before You Start Evaluating
- [ ] List every OTA and distribution channel you currently sell through, and confirm each vendor actually connects to all of them
- [ ] Document your current PMS and confirm the integration method (direct API vs. legacy XML push)
- [ ] Define your peak-load scenario (a flash sale, a major event weekend) and use it to stress-test sync claims
- [ ] Identify who owns support escalation on your side if a sync error causes an overbooking
Integration Depth Questions
- Is the connection to my PMS genuinely two-way, or does it only push bookings inbound while rate/inventory changes still require manual updates?
- Can you demonstrate an outbound inventory change propagating to an OTA in real time, live, during the evaluation?
- How is each OTA connected — a direct API link or a legacy XML push? Direct API links generally sync faster and fail less often.
- Does every rate plan in our PMS map correctly to the appropriate rate on each OTA, and how do you verify that mapping at setup?
- What happens to reservations already in-flight if the connection drops mid-sync?
Sync Speed & Reliability Questions
| Area | What to ask |
|---|---|
| Sync speed | How quickly does a booking on one channel reflect across all others — do you guarantee real-time or near-real-time updates during high-demand periods? |
| Peak load | What's your sync performance under peak load, not just average daily volume? |
| Alerting | Do both systems alert automatically if the connection drops or a sync error occurs? |
| Overbooking prevention | What safeguards exist to prevent a room from being sold twice if sync lags even briefly? |
| Historical uptime | Can you share actual uptime and sync-error rates from existing hotel clients, not just an SLA promise? |
Rate Parity & Distribution Questions
- [ ] How do you handle rate parity enforcement across OTAs automatically?
- [ ] What's your process if an OTA displays a rate that doesn't match what we set in the PMS?
- [ ] Do you support the specific channels and OTAs relevant to our market (not just total channel count)?
- [ ] How do you handle restrictions (minimum stay, closed-to-arrival) syncing across all connected channels?
Testing Before You Commit
- Make a test reservation through one connected OTA and confirm it appears in the PMS within the expected timeframe with all fields correctly populated.
- Block a room manually in the PMS and confirm availability closes across all connected OTAs immediately.
- Simulate a rate change and time how long it takes to appear correctly on each channel.
- Ask for a live demo of the error-alerting system, not just a description of it.
Vendor Scorecard
| Criteria | Weight | Vendor A | Vendor B | Vendor C |
|---|---|---|---|---|
| Two-way PMS integration depth | ||||
| Sync speed under peak load | ||||
| OTA/channel coverage relevant to us | ||||
| Rate parity enforcement | ||||
| Error alerting & support responsiveness | ||||
| Pricing transparency |
Red Flags to Watch For
- Describes the PMS connection as "integrated" without confirming it's genuinely two-way
- Can't demonstrate real-time sync live, only describes it in a sales deck
- Vague or evasive answers about sync performance under peak load specifically
- No alerting system if a connection drops — you'd only find out from a guest complaint
- Channel count emphasized over whether the channels that matter to your property actually sync reliably
How to Use This
Run the live tests above with your top 2–3 vendor finalists before signing anything — a demo environment behaves differently than production load, and the testing section above is designed to surface exactly the failure modes that cause overbookings. Weight sync speed and two-way integration depth heavily; a vendor with fewer OTA connections that all sync reliably beats one with broad coverage and lag.