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Process Flow Diagram (BPMN)

NP-SD-02 BPMN diagram
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L4 Process Steps

StepStep NameRole / Swim LaneSystem InputOutputKPIDec?Exc?
Phase 1
1.1
Define direct channel KPI targets and benchmarks Director of Distribution Strategy Tableau / Power BI Annual commercial plan; prior-year direct channel share report; GDS cost-per-segment benchmark Direct channel scorecard with targets: share %, conversion rate, cost per booking, ancillary attach rate Direct channel share of total bookings ≥ 65%; cost per direct booking ≤ $3.50 vs. GDS ≥ $8.50 N N
1.2 Select distribution schema — NDC 21.3 vs. EDIFACT Distribution Technology Architect NDC API Gateway Agency and TMC capability survey; NDC adoption roadmap; current EDIFACT booking engine contract Distribution schema decision: NDC 21.3 Offer/Order or legacy EDIFACT booking engine per channel segment NDC-capable agency coverage ≥ 40% of managed travel volume within 12 months Y N
1.3 Configure NDC API Gateway offer and order schemas Distribution Systems Analyst NDC API Gateway NDC 21.3 IATA standard schema; fare family definitions from Pricing team; ancillary service catalog Published IATA NDC AirShopping, OfferPrice, and OrderCreate API endpoints; certified schema documentation API response time ≤ 800ms at p95; schema validation pass rate 100% on IATA conformance test suite N Y
1.4 Integrate Amadeus Altéa PSS real-time availability feed Distribution Systems Analyst Amadeus Altéa PSS NDC API Gateway offer request; Altéa inventory host connection parameters; RBD availability map Live availability feed confirmed; booking class availability visible in web and app booking engines Availability feed uptime ≥ 99.95%; stale availability incidents < 2 per month N Y
Phase 2
2.1
Load fare products and ancillary catalog to web engine E-Commerce Product Manager ATPCO / NDC API Gateway ATPCO filed fares; ancillary service catalog (baggage, seat selection, meals, lounge); fare family branding rules Published fare product tiles in web and app; ancillary catalog with pricing loaded; fare family descriptions live Fare loading accuracy 100%; catalog sync from ATPCO to web engine ≤ 4 hours after fare filing N Y
2.2 Apply dynamic pricing rules for direct channel uplift Revenue Management Analyst Amadeus Revenue Management (NRM / AltéaRM) RM inventory O&D availability; direct channel booking cost differential vs. GDS; promotional calendar Direct-only fare incentives configured; dynamic pricing rules active in booking engine; GDS parity exceptions documented Direct channel average fare premium over GDS ≥ 0% (parity floor); promotional uplift in direct conversions ≥ 8% during campaign windows N Y
2.3 Validate fare display and regulatory compliance Distribution Compliance Analyst ATPCO / NDC API Gateway Loaded fare products; DOT full-fare advertising rules (14 CFR Part 399); ancillary disclosure requirements Compliance sign-off on fare display; all-in pricing confirmed; tax and fee disclosure checklist completed Zero DOT full-fare advertising violations; fare display QA pass rate 100% pre-launch Y N
Phase 3
3.1
Monitor booking funnel conversion metrics in real time E-Commerce Analytics Manager Amplitude / Adobe Analytics Live web and app session data; funnel stage events (search → select → payment → confirm); device and channel segmentation Real-time funnel dashboard; drop-off stage identification; conversion rate by device type and market Overall booking conversion rate ≥ 3.5% (search-to-book); mobile app conversion ≥ 4.2%; funnel abandonment at payment ≤ 18% Y N
3.2 Run A/B tests on booking flow UX variants E-Commerce Product Manager Amplitude / Adobe Target Funnel drop-off report; UX hypothesis backlog; statistical significance threshold (95% confidence, n ≥ 5,000 sessions) A/B test results report; winning variant identified or inconclusive flag; engineering backlog item for implementation A/B test cycle time ≤ 3 weeks; conversion lift from winning variants ≥ 0.5% per test cycle Y N
3.3 Optimise ancillary upsell prompts at checkout E-Commerce Product Manager Amplitude / Amadeus Altéa PSS Booking engine checkout step; passenger and itinerary data; ancillary pricing rules; upsell placement A/B test results Configured upsell modules (seat upgrade, extra bag, EarlyBird equivalent, travel insurance); personalised offer rendering by traveller segment Ancillary attach rate ≥ 45% of direct bookings; average ancillary revenue per direct booking ≥ $28 N N
Phase 4
4.1
Submit payment to CyberSource gateway and tokenise card Payments Operations Analyst CyberSource Payment Gateway Customer payment details (card or digital wallet); booking total; 3-D Secure 2.0 authentication trigger Payment authorisation response; tokenised card stored for future purchases; transaction ID linked to PNR Payment authorisation success rate ≥ 97%; 3DS2 frictionless flow rate ≥ 85%; gateway downtime ≤ 0.05% monthly Y Y
4.2 Screen transaction for fraud risk with Accertify Payments Operations Analyst Accertify (Fraud Management Platform) Payment authorisation token; device fingerprint; IP geolocation; booking velocity signals; passenger name Fraud risk score; approve / review / decline decision; case flagged for manual review if score 60–80 Fraud chargeback rate ≤ 0.05% of transaction value; false positive decline rate ≤ 0.8%; manual review queue cleared within 2 hours Y Y
4.3 Confirm booking and issue PNR in Amadeus Altéa PSS Distribution Systems Analyst Amadeus Altéa PSS Successful payment authorisation; passenger data (APIS fields); fare and ancillary items; flight inventory segment Confirmed PNR with all segments, ancillaries, and payment record; booking confirmation email triggered PNR creation success rate ≥ 99.9%; confirmation email delivery within 60 seconds of booking; seat inventory decremented correctly 100% N Y
Phase 5
5.1
Accrue Rapid Rewards miles for direct booking Loyalty Systems Analyst Amadeus Altéa PSS / Loyalty Platform Confirmed PNR; Rapid Rewards member number; base fare paid; fare class earning multiplier rules Miles posted to member account; bonus miles for direct channel booking applied; accrual confirmation in member portal Miles posting accuracy 100%; accrual posted within 72 hours of booking; direct channel bonus miles correctly applied ≥ 99.5% of eligible transactions N Y
5.2 Generate direct channel performance dashboard E-Commerce Analytics Manager Tableau / Power BI Booking transaction data; channel attribution; ancillary revenue; fraud loss data; conversion funnel metrics; Rapid Rewards accrual volumes Weekly direct channel performance dashboard: share %, booking volume, revenue per booking, ancillary attach, cost per booking, fraud rate Dashboard refresh latency ≤ 4 hours; direct channel share reported to VP-level weekly; data completeness ≥ 99% N N
5.3 Review direct channel share vs. target and escalate gaps Director of Distribution Strategy Tableau / Power BI Weekly direct channel performance dashboard; annual KPI scorecard; commercial strategy review cadence Gap analysis report; corrective action plan (promotions, UX fixes, NDC push, agency incentive review) if share < 65% target Direct channel share ≥ 65%; month-over-month share growth ≥ 0.5pp when below target; corrective action plan issued within 5 business days of confirmed underperformance Y N
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Process Attributes

Identification

Process IDNP-SD-02
L1 DomainNetwork Planning & Scheduling
L2 ProcessSales & Distribution
L3 NameDirect Channel Management (Web & App)
L4 Steps16 across 5 phases
Decision Gates7 (all with iteration loops)
Exceptions8 documented

Swim Lanes (Roles)

Director of Distribution Strategy
Distribution Technology Architect
Distribution Systems Analyst
E-Commerce Product Manager
Revenue Management Analyst
Distribution Compliance Analyst
E-Commerce Analytics Manager
Payments Operations Analyst
Loyalty Systems Analyst

Systems & Tools

Tableau / Power BINDC API GatewayAmadeus Altéa PSSATPCO / NDC API GatewayAmadeus Revenue Management (NRM / AltéaRM)Amplitude / Adobe AnalyticsAmplitude / Adobe TargetAmplitude / Amadeus Altéa PSSCyberSource Payment GatewayAccertify (Fraud Management Platform)Amadeus Altéa PSS / Loyalty Platform

Key Performance Indicators

Define direct channel KPI targets and benchmarksDirect channel share of total bookings ≥ 65%; cost per direct booking ≤ $3.50 vs. GDS ≥ $8.50
Select distribution schema — NDC 21.3 vs. EDIFACTNDC-capable agency coverage ≥ 40% of managed travel volume within 12 months
Configure NDC API Gateway offer and order schemasAPI response time ≤ 800ms at p95; schema validation pass rate 100% on IATA conformance test suite
Integrate Amadeus Altéa PSS real-time availability feedAvailability feed uptime ≥ 99.95%; stale availability incidents < 2 per month
Load fare products and ancillary catalog to web engineFare loading accuracy 100%; catalog sync from ATPCO to web engine ≤ 4 hours after fare filing
Apply dynamic pricing rules for direct channel upliftDirect channel average fare premium over GDS ≥ 0% (parity floor); promotional uplift in direct conversions ≥ 8% during campaign windows
Validate fare display and regulatory complianceZero DOT full-fare advertising violations; fare display QA pass rate 100% pre-launch
Monitor booking funnel conversion metrics in real timeOverall booking conversion rate ≥ 3.5% (search-to-book); mobile app conversion ≥ 4.2%; funnel abandonment at payment ≤ 18%

Airline-Specific Risks & Pain Points

No industry-standard benchmark for direct channel share forces reliance on internal year-on-year trend; low-cost carrier targets (70%+) may not be achievable without eliminating GDS completely
TMC and OTA NDC readiness varies widely; dual-schema support (NDC + EDIFACT) doubles integration maintenance burden and can create fare display inconsistencies
NDC API latency degrades when Amadeus Altéa PSS availability calls chain through multiple O&D legs; caching strategy must balance freshness vs. response speed
Altéa PSS availability polling under peak traffic (holiday season surges) can cause throttling; CDN-layer availability caching introduces risk of selling closed inventory
ATPCO fare filing cycle (Cat 25 / branded fare rules) requires manual QA against web display; discrepancies between filed rules and displayed conditions create regulatory and consumer protection risk
Fare parity clauses in GDS contracts prohibit offering lower fares on direct channel without also lowering GDS fares; undermines direct channel cost advantage and reduces RM flexibility

Inputs / Outputs

Primary InputAnnual commercial plan; prior-year direct channel share report; GDS cost-per-segment benchmark
Primary OutputGap analysis report; corrective action plan (promotions, UX fixes, NDC push, agency incentive review) if share < 65% target
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