Case study at a glance
About this case study: this is an Infinite360 Tech Academy project case study delivered on a simulation environment with synthetic data. It shows the scope, architecture and approach our consultants and learners practise. It is not a client engagement and implies no affiliation with, or endorsement by, any company or brand.
| Industry | Travel & airlines |
|---|---|
| Platforms | AEP, Mobile SDK, Journey Optimizer, Real-Time CDP, CJA |
| Type | Academy project case study (simulated environment, synthetic data) |
| Roles practised | Mobile SDK engineer, AJO journey designer, data engineer |
| Environment | appify.infiante360techacademy.com |
The business challenge
An airline's app, booking engine, loyalty program and operations systems all hold part of the passenger story. Messages about check-in, upgrades and disruptions are sent from separate tools, so passengers receive duplicate or late communication and the airline cannot measure which messages change behaviour.
Target architecture
Implementation approach
- Map lifecycle — book → fly → return
- Model events — booking, check-in, delay
- Mobile SDK — app events + push
- Profile & loyalty — tier, preferences
- Journeys — check-in, upgrade, disruption
- Measure — CJA lifecycle view
Use cases implemented
- Check-in reminder journey triggered by departure time
- Paid upgrade offer for eligible loyalty tiers
- Flight-delay notification from an operational event
- Post-trip feedback and rebooking journey
- App re-engagement audience for dormant users
- Lifecycle reporting from booking to repeat trip
Validation and governance checks
- Event payloads validated against the XDM schema before journeys use them
- Push permissions and channel consent respected per passenger
- Journeys kept modular so each stays well within platform activity guardrails
- Frequency caps prevent duplicate disruption messages
- Fallback content tested for passengers missing loyalty data
What Infinite360 brings
Architecture first
A documented target architecture, identity strategy and data model before a single journey is built.
Reusable accelerators
Schema patterns, naming conventions, backlog templates, QA checklists and runbooks reused across projects.
Validation discipline
Every stage is validated - payloads, identity graphs, profile fragments, audience counts and journey test runs.
Governance built in
Consent, data usage labels and least-privilege access are designed in, not bolted on at go-live.
Knowledge transfer
Walkthrough recordings, documentation and pairing so your team can run and extend the solution.
Day-one-ready people
Consultants and contract engineers who have practised the same pattern end to end before joining your team.
From case study to contract delivery
The roles that practise this case study — Mobile SDK engineer, AJO journey designer, data engineer — are the same profiles we place through contract hiring and staff augmentation. Because they have already built this pattern end to end, onboarding focuses on your systems and standards rather than on learning the platform.
Frequently asked questions
Can AJO react to operational events such as delays?
Yes. An operational system can send a unitary or business event that triggers a journey; payload design and throttling need to be planned up front.
Is this based on a real airline?
No. It is a simulation with synthetic data built to reflect a typical airline engagement scope.
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