Three booking sources, one schedule
Pixelity built a short-term-rental cleaning operations platform where bookings sync from Guesty, Hostaway, and Lodgify, and the schedule the crews work from stays the record that wins.
Connect the systems. Settle who owns the record.
Getting two applications to exchange data is the easy half. Whether anyone trusts the result comes down to which system owns each record, what happens when a transfer fails halfway, and who finds out.
A practical delivery path
- 01Source
- 02Validate
- 03Transform
- 04Deliver
- 05Monitor
Every connection should be able to say that it failed, and be safe to run again.
What is going wrong before this work starts.
- 01
The same record lives in two places
A customer, order, or invoice is keyed into one system and copied into the next. The delay is the small cost. The argument about which copy is right is the expensive one.
- 02
Both systems believe they are authoritative
Nothing decides which side wins until the two disagree, and by then the question is being settled live, with a client waiting for the answer.
- 03
Failures are silent
A sync stops, or half of it lands. No exception, no alert, no owner, so the first person to notice is whoever acts on the wrong number.
What the work includes, start to finish.
- 01
Ownership, identity, and events
Which system owns each record, how both sides recognize it as the same thing, what event moves it, and how current it genuinely has to be.
- 02
The architecture the workflow needs
Direct APIs, webhooks, queues, scheduled synchronization, or an orchestration layer, chosen on how fast the record must move and what it costs when it does not.
- 03
Failure paths built, not assumed
Retries, duplicate protection, partial completion, and conflicting updates tested as part of the work, so the awkward cases exist before production finds them.
- 04
Monitoring and a manual route
Health, retry state, record age, open conflicts, and audit history in a form the operating team can act on, plus the documented steps for when a provider is down.
What this looks like once it exists.
Commerce and its catalogue
A bilingual English and Arabic commerce app connected to Shopify, where products, prices, and orders stay with the system that owns them.
Documents into the owning system
Information arriving by email or attachment, validated once, then written into whichever system owns the next step rather than into three of them.
Four stages, each ending in something you can see.
- 01
Map
Name the record each system owns, how the two identify it, which event should move it, and how stale it is allowed to get.
OutputOwnership and data contract map
- 02
Shape
Choose the architecture, decide what happens when a call fails or two updates conflict, and design what the operating team will watch.
OutputIntegration design and failure cases
- 03
Build
Implement against supported interfaces and test the failure paths, so conflicts and partial completion surface instead of overwriting.
OutputConnections running real work
- 04
Evolve
Absorb provider changes, new records, and higher volumes without reopening the question of who owns what.
OutputOwnership that holds as you grow
Where this service is usually needed.
Tailored CRM
Follow one commercial record from qualification and approval into the delivery handoff, with a single owner at every step.
Open the demonstrationRelated concept demonstration
- 01Lead
- 02Qualification
- 03Quote
- 04Approval
- 05Handoff
Engineering decisions that protect the operation.
- 01
Treat authentication, rate limits, version changes, and provider downtime as part of the design, not as incidents to deal with later.
- 02
Use durable identifiers and idempotent operations, so a retry corrects the run instead of duplicating it.
- 03
Make conflicts and partial completion visible. A business record overwritten quietly is the failure found last.
The questions that come up before a project starts.
- Can older systems be connected?
- Usually. What decides the approach is what the system supports, whether that is an API, database access, or a scheduled export, and what it costs the business when a record arrives late or not at all.
- Does everything need to synchronize in real time?
- Rarely. Real time is right when someone is waiting on the record to act. For most operational data, scheduled or event-based synchronization is simpler to run and easier to recover.
- How do we know a connection is healthy?
- It reports for itself: successes, failures, retries, the age of the oldest unprocessed record, open conflicts, and who owns them. Health nobody can see is health nobody is checking.
Articles that help frame the decision.
Tell us the process everyone works around.
Describe it in a sentence or two. We will come back with what we would build first, what it would take, and whether you actually need us for it.