NP-RM-12 · Real-Time Availability & Seat Inventory Control

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Process Flow Diagram (BPMN)

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L4 Process Steps

Step	Step Name	Role / Swim Lane	System	Input	Output	KPI	Dec?	Exc?
Phase 1 1.1	Load authorized capacity & fleet config	Revenue Management Analyst	Amadeus AltéaRM (NRM)	Fleet assignment output, aircraft subtype capacity tables	Authorized capacity record per flight-date with cabin split	Capacity load accuracy 100% before sales open	N	N
1.2	Initialize fare class booking buckets	Revenue Management Analyst	Amadeus AltéaRM (NRM)	ATPCO fare class definitions, historical booking curve by O&D	Booking class hierarchy (Y, B, M, H, Q, K, L, U, T, X) with initial seat counts	All booking classes live ≥14 days before departure; 0 missing bucket errors at booking open	N	N
1.3	Apply overbooking factors by flight segment	Revenue Management Analyst	Amadeus AltéaRM (NRM)	Historical no-show rates, cancellation curves, load factor targets	Authorized booking limit (ABL) per flight exceeding physical capacity	Target involuntary denied boarding rate ≤0.05 per 10,000 passengers	Y	N
Phase 2 2.1	Monitor real-time booking pace vs forecast	Revenue Management Analyst	Amadeus AltéaRM (NRM)	Live booking transactions from Amadeus Altéa PSS, SkyCAST demand forecast	Booking pace index (actual/forecast ratio) per flight per class	Pace variance alert triggered within 15 minutes of threshold breach	N	N
2.2	Evaluate booking pace deviation threshold	Amadeus AltéaRM (NRM)	Amadeus AltéaRM (NRM)	Booking pace index, departure date proximity, current load factor	Availability action flag: accelerated close, hold, or open lower class	System recommendation generated within 5 minutes of threshold breach; analyst review SLA ≤30 min	Y	N
2.3	Flag flight for priority availability review	Revenue Management Analyst	Amadeus AltéaRM (NRM)	Availability action flag from automated pace evaluation	Flight placed in analyst work queue with recommended action and revenue impact estimate	≥90% of flagged flights actioned within analyst SLA; <5% false-positive escalation rate	N	Y
Phase 3 3.1	Generate availability adjustment recommendation	Amadeus AltéaRM (NRM)	Amadeus AltéaRM (NRM)	Current bucket availability, forecast demand, competitive fare filings from ATPCO	Recommended bucket open/close action with projected revenue impact delta	Revenue uplift from accepted recommendations ≥1.5% per adjusted flight vs control group	N	N
3.2	Validate recommendation against RM policy bounds	Revenue Management Analyst	Amadeus AltéaRM (NRM)	System recommendation, RM policy rules (minimum bucket sizes, blackout dates, alliance blocks)	Approved or overridden availability action	Policy override rate ≤8% of system recommendations; override reason coded for feedback loop	Y	N
3.3	Apply manual override with documented reason	Senior Revenue Management Analyst	Amadeus AltéaRM (NRM)	Out-of-bounds recommendation, analyst market intelligence, competitive intelligence feed	Manually adjusted bucket availability with override reason code logged	Manual override revenue outcome tracked: ≥60% of overrides must outperform system recommendation at T+7 days post-departure	N	Y
3.4	Broadcast availability updates to all channels	Amadeus Altéa PSS (automated)	Amadeus Altéa PSS	Approved bucket availability changes from AltéaRM	Updated availability published to Sabre GDS, Travelport GDS, Amadeus GDS, and NDC API Gateway	Availability propagation to all GDS channels within 60 seconds of AltéaRM commit; NDC API latency ≤5 seconds	N	Y
Phase 4 4.1	Receive and assess group booking request	Group Sales Coordinator	Amadeus Altéa PSS	Group booking request (pax count, travel date, origin/destination, fare requirements)	Group inventory assessment report: available seats, impact on individual yield	Group quote turnaround ≤4 hours for ≤50 pax; ≤24 hours for >50 pax	N	N
4.2	Validate group request against allotment policy	Revenue Management Analyst	Amadeus AltéaRM (NRM)	Group assessment report, flight allotment policy (max % of capacity per group), current availability	Approved or rejected group allotment decision with conditional availability hold	Group allotment approval rate within policy: ≥95% handled without senior escalation; group revenue mix target ≤20% of total flight revenue	Y	N
4.3	Confirm group block and adjust net inventory	Group Sales Coordinator	Amadeus Altéa PSS	Approved group allotment decision, group fare agreement	Group PNR block confirmed; individual booking class availability reduced by block size	Group block confirmation rate ≥85% within quoted hold period; no-show rate on confirmed groups ≤12%	N	Y
Phase 5 5.1	Conduct T-72h pre-departure inventory review	Revenue Management Analyst	Amadeus AltéaRM (NRM)	Current booking count, remaining availability, forecast final load factor, waitlist count	Pre-departure availability strategy: sell-up, open low classes, or hold current position	Final load factor target ≥83%; revenue per available seat kilometre (RASK) vs budget reviewed at T-72h	N	N
5.2	Evaluate unsold inventory against threshold	Amadeus AltéaRM (NRM)	Amadeus AltéaRM (NRM)	Current load factor, departure proximity, unsold seat count, waitlist queue depth	Decision flag: open lower fare classes or maintain current availability strategy	Unsold seat recovery via last-minute availability opening: target ≥65% of exposed seats sold at ≥breakeven yield	Y	N
5.3	Open lower fare classes and clear waitlist	Revenue Management Analyst	Amadeus AltéaRM (NRM)	Availability action flag, waitlist passenger queue from Altéa PSS	Lower classes opened in AltéaRM; waitlist passengers auto-confirmed via Altéa PSS	Waitlist clearance rate ≥90% within 2 hours of class opening; confirmed waitlist pax CSAT ≥4.2/5	N	Y
5.4	Freeze availability at check-in cutoff	Amadeus Altéa PSS (automated)	Amadeus Altéa PSS	Departure time, check-in cutoff rule (route-specific: 45–90 min before departure)	Availability closed to all booking channels; final booked load factor locked for departure	Check-in cutoff applied accurately on 100% of departures; overbooking resolution (VDB/IDB) initiated within 30 minutes of cutoff if overbooked	N	Y

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Process Attributes

Identification

Process IDNP-RM-12

L1 DomainNetwork Planning & Scheduling

L2 ProcessRevenue Management

L3 NameReal-Time Availability & Seat Inventory Control

L4 Steps17 across 5 phases

Decision Gates5 (all with iteration loops)

Exceptions6 documented

Swim Lanes (Roles)

Revenue Management Analyst

Amadeus AltéaRM (NRM)

Senior Revenue Management Analyst

Amadeus Altéa PSS (automated)

Group Sales Coordinator

Systems & Tools

Amadeus AltéaRM (NRM)Amadeus Altéa PSS

Key Performance Indicators

Load authorized capacity & fleet configCapacity load accuracy 100% before sales open

Initialize fare class booking bucketsAll booking classes live ≥14 days before departure; 0 missing bucket errors at booking open

Apply overbooking factors by flight segmentTarget involuntary denied boarding rate ≤0.05 per 10,000 passengers

Monitor real-time booking pace vs forecastPace variance alert triggered within 15 minutes of threshold breach

Evaluate booking pace deviation thresholdSystem recommendation generated within 5 minutes of threshold breach; analyst review SLA ≤30 min

Flag flight for priority availability review≥90% of flagged flights actioned within analyst SLA; <5% false-positive escalation rate

Generate availability adjustment recommendationRevenue uplift from accepted recommendations ≥1.5% per adjusted flight vs control group

Validate recommendation against RM policy boundsPolicy override rate ≤8% of system recommendations; override reason coded for feedback loop

Airline-Specific Risks & Pain Points

Late fleet swaps from network planning trigger manual capacity corrections in AltéaRM; no automated re-sync with SkyMAX fleet assignment module

ATPCO fare class proliferation (20+ classes on competitive routes) increases bucket management complexity; AltéaRM UI does not support bulk bucket edits

No-show model degrades on routes with recent schedule changes or post-event demand spikes; manual recalibration required in AltéaRM — no auto-retraining trigger

AltéaRM polling interval from Altéa PSS is near-real-time but not event-driven; sudden group bookings or flash sales can spike pace index before alert fires

Threshold calibration is static per route cluster — unusual demand patterns (e.g. redirected traffic, airline irregular operations) generate false positive alerts requiring analyst intervention

High-frequency flagging on congested departure banks (e.g. Monday AM banks) overwhelms analyst queues; PROS RM AI prioritisation not yet integrated at this carrier

Inputs / Outputs

Primary InputFleet assignment output, aircraft subtype capacity tables

Primary OutputAvailability closed to all booking channels; final booked load factor locked for departure

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