Cas d'utilisation par industrie | Architecture & Stratégie TI

Explorez comment la plateforme GUM-RTDP offre une intelligence en temps réel à travers les industries. Chaque industrie présente quelques événements d'affaires représentatifs, des événements scorés par l'IA, des flux d'événements de bout en bout, et des cas d'utilisation de l'IA — illustrant comment les trois couches intégrées de la plateforme collaborent pour détecter, prédire et agir en temps réel. Les exemples sont intentionnellement sélectifs ; l'architecture composable de la plateforme prend en charge un éventail bien plus large de scénarios adaptés à votre organisation.

La nomenclature des événements est intentionnelle — un événement bien nommé communique son intention d'affaires sans ambiguïté, éliminant toute mauvaise interprétation par les producteurs et les consommateurs. Lorsque le nom seul est insuffisant, une description précise dans le registre d'événements complète le contrat. Une nomenclature ancrée dans le Modèle Conceptuel de Données d'Entreprise (CEDM) garantit que les événements reflètent de véritables concepts d'affaires plutôt que des artefacts techniques ou axés sur les systèmes — une discipline fondamentale pour un tissu événementiel gouverné et digne de confiance.

Sélectionnez les industries qui vous intéressent: assurances, commerce, divertissement en direct, fabrication, gouvernements, hôtellerie, industrie financière, médias et diffusion, mines, municipalités, santé, services publics, télécom, transport: aérien, ferroviaire, public

Transport aérien

Événements

schedule.published
flight.scheduled
booking.created
passenger.checked_in
baggage.tagged
boarding.completed
flight.departed

Flux d'événements

On demand.forecast.generated → consumers: schedule planning service (OR), network planning service, capacity planning service
On schedule.published → consumers: aircraft assignment service, operations planning service
On booking.created → inference publishes demand.forecast.revised, ancillary.revenue.forecasted, passenger.no_show_risk.scored → consumers: revenue management service, ancillary offer service, overbooking mgmt. service
On passenger.checked_in → inference publishes passenger.no_show_risk.scored → consumers: overbooking mgmt. service, gate agent alert, standby upgrade service
On baggage.tagged → inference publishes baggage.misroute_risk.predicted → consumers: manual check service, baggage handler alert
On boarding.completed → inference publishes flight.delay.predicted → consumers: proactive rebooking service, crew legality checker, gate manager
On flight.departed → consumers: flight tracking service, connection manager, gate release service, slot usage service

Événements IA

demand.forecast.generated
demand.forecast.revised
flight.delay.predicted
passenger.no_show_risk.scored
baggage.misroute_risk.predicted
ancillary.revenue.forecasted

Cas d'utilisation IA

O&D and operating segment demand forecasting
AOG events prediction using flight data, maintenance and sensors
Delay propagation prediction
Misconnect risk prediction
Customer LTV prediction
Customer churn prediction
Ancillary revenue optimization (bags, seats, upgrades)
IROPS prediction
Passenger no-show risk scoring

Transport ferroviaire

Événements

carriage.coupled
track.occupancy.updated
delay.reported
train.departed
train.arrived
track.blue_flagged

Flux d'événements

On carriage.coupled → inference publishes rollingstock.failure.predicted → consumers: maintenance work order service, yard master
On track.occupancy.updated → inference publishes track_occupancy.level.forecasted, safety_incident.risk.scored → consumers: signal control system, switching service, operations controller, safety monitor
On delay.reported / train.departed → inference publishes train.arrival.predicted → consumers: pax notification service, crew reassignment, connection manager
On train.arrived → inference publishes passenger.demand.forecasted → consumers: capacity planner, timetable service
On track.blue_flagged → consumers: safety halt service, dispatcher alert, maintenance coordinator, safety controller

Événements IA

train.arrival.predicted
track_occupancy.level.forecasted
rollingstock.failure.predicted
passenger.demand.forecasted
safety_incident.risk.scored

Cas d'utilisation IA

Train delay prediction using historical patterns, congestion, weather, & asset health
Rolling stock predictive maintenance (wheel flats, brake wear, vibration anomalies)
Passenger demand forecasting for timetable planning and capacity allocation
Energy consumption prediction
Braking distance prediction (PTC compliance)

Transport public

Événements

vehicle.departed
stop.arrived
passenger.boarded
fare.validated
service.disrupted

Flux d'événements

On vehicle.departed → inference publishes vehicle.failure.predicted → consumers: maintenance alert service, depot coordinator
On stop.arrived → inference publishes ridership.demand.forecasted → consumers: dispatch service, capacity planner
On passenger.boarded → inference publishes crowding.level.predicted → consumers: dynamic dispatch service, passenger information system
On fare.validated → inference publishes fare.evasion_risk.scored → consumers: inspection alert service, enforcement dispatcher
On service.disrupted → inference publishes service.delay_risk.scored → consumers: transfer protection service, passenger notification, crew reassignment

Événements IA

ridership.demand.forecasted
crowding.level.predicted
vehicle.failure.predicted
service.delay_risk.scored
fare.evasion_risk.scored

Cas d'utilisation IA

Ridership forecasting by route, stop, and time of day for service planning
Crowding prediction to adjust headways or dispatch extra vehicles
Predictive maintenance for buses, trams, and stations (doors, HVAC, batteries)
Missed connection risk scoring
Vehicle failure prediction

Assurances

Événements

quote.requested
policy.bound
claim.filed
claim.adjusted
payment.disbursed

Flux d'événements

On quote.requested → inference publishes quote.conversion_probability.scored → consumers: personalized offer service, campaign manager
On policy.bound → inference publishes policy_renewal.risk.scored, customer.lifetime_value.predicted → consumers: underwriting workflow, document generation, billing, retention servic
On claim.adjusted → inference publishes claim_settlement.amount.predicted → consumers: auto-approval service, payment processor
On policy.bound → consumers: underwriting workflow, document generation, billing
On claim.adjusted → inference publishes claim_settlement.amount.predicted → consumers: auto-approval service, payment processor

Événements IA

policy_renewal.risk.scored
claim_fraud.risk.scored
claim_settlement.amount.predicted
customer.lifetime_value.predicted
quote.conversion_probability.scored

Cas d'utilisation IA

Quote conversion probability scoring
Claim fraud scoring
Claim settlement amount prediction
Policy renewal risk scoring
Customer lifetime value prediction
Customer churn prediction
Risk classification
Loss ratio forecasting
Claim severity prediction

Commerce

Événements

product.created
cart.updated
order.placed
inventory.level.adjusted
payment.authorized
shipment.delivered

Flux d'événements

On product.created → inference publishes product.demand.forecasted, inventory.level.predicted → consumers: inventory planner, pricing service, merchandising service
On cart.updated → inference publishes order.cancellation_risk.scored → consumers: cart recovery service, promotions engine
On order.placed → inference publishes transaction.fraud_risk.scored → consumers: hold or place order based on threshold
On inventory.level.adjusted → inference publishes inventory.level.predicted → consumers: replenishment service, supplier notification, demand planner
On payment.authorized → consumers: shipment workflow, warehouse picker, customer notification
On shipment.delivered → consumers: loyalty points service, customer notification, satisfaction survey service

Événements IA

product.demand.forecasted
inventory.level.predicted
transaction.fraud_risk.scored
order.cancellation_risk.scored
customer.churn_risk.scored

Cas d'utilisation IA

Product demand forecasting
Inventory level prediction
Order cancellation risk scoring
Transaction fraud scoring
Customer churn prediction
Customer lifetime value prediction
Price elasticity modeling

Divertissement en direct

Événements

ticket.scanned
crowd_flow.updated
concession.purchased
merchandise.sold
event.concluded

Flux d'événements

On ticket.scanned / purchased → inference publishes crowd.flow.level.predicted → consumers: staffing reallocation service, security dispatcher
On crowd_flow.updated → inference publishes safety_incident.risk.scored → consumers: security response service, venue operations
On concession.purchased → inference publishes concession.demand.forecasted → consumers: restocking service, inventory manager
On merchandise.sold → inference publishes merchandise.sales.forecasted → consumers: inventory manager, venue operations
On event.concluded → inference publishes staffing.requirement.predicted → consumers: staffing planner, workforce scheduler

Événements IA

crowdflow.level.predicted
concession.demand.forecasted
merchandise.sales.forecasted
safety_incident.risk.scored
staffing.requirement.predicted

Cas d'utilisation IA

Crowd flow prediction (ingress, egress, concourse movement)
Concession demand forecasting
Merchandise sales forecasting
Safety incident risk scoring
Staffing requirement prediction
VIP next-best-action recommendation

Fabrication

Événements

work_order.created
material.issued
production.completed
quality_check.failed
shipment.dispatched

Flux d'événements

On work_order.created → inference publishes equipment.failure.predicted, production.yield.forecasted → consumers: maintenance service, production planner, scheduling service
On material.issued → inference publishes material.consumption.forecasted → consumers: reorder service, supply chain planner
On production.completed → consumers: shipment dispatcher, inventory updater, billing service
On quality_check.failed → inference publishes quality.issue_risk.scored → consumers: production halt service, quality manager, supplier alert
On shipment.dispatched → inference publishes shipment.delay.predicted → consumers: customer notification service, logistics coordinator

Événements IA

equipment.failure.predicted
production.yield.forecasted
quality.issue_risk.scored
material.consumption.forecasted
shipment.delay.predicted

Cas d'utilisation IA

Equipment failure prediction
Production yield forecasting
Quality issue risk scoring
Material consumption forecasting
Shipment delay prediction
Energy consumption prediction

Gouvernements

Événements

application.submitted
case.updated
permit.issued
benefit.approved
compliance_flag.raised

Flux d'événements

On application.submitted → inference publishes application.processing_time.predicted → consumers: priority queue service, SLA monitor, applicant notification
On benefit.approved → inference publishes fraud.risk.scored → consumers: audit service, compliance reporter, payment processor
On compliance_flag.raised → consumers: audit workflow, legal notification, case management service
On case.updated → inference publishes compliance.risk.scored → consumers: case management service, legal notification, compliance reporter
On permit.issued → inference publishes service.demand.forecasted → consumers: resource planning service, workforce scheduler
On application.submitted → inference publishes application.processing_time.predicted, benefit.eligibility.scored→ consumers: priority queue service, SLA monitor, applicant notification, eligibility service

Événements IA

application.processing_time.predicted
fraud.risk.scored
benefit.eligibility.scored
service.demand.forecasted
compliance.risk.scored

Cas d'utilisation IA

Application processing time prediction
Benefit eligibility scoring
Fraud detection across benefits, taxation and procurement
Compliance risk scoring
Service demand forecasting
Case processing prediction

Hôtellerie

Événements

room.searched
booking.created
booking.modified
room.check_in.completed
room.check_out.completed
payment.captured

Flux d'événements

On room.searched → inference publishes room.demand.forecasted, occupancy.rate.forecasted → consumers: dynamic pricing engine, inventory manager, revenue manager
On booking.created → inference publishes booking.cancellation_risk.scored, guest.spend.predicted → consumers: retention offer service, revenue manager, pre-arrival offer service
On booking.modified → inference publishes booking.cancellation_risk.scored → consumers: retention offer service, revenue manager
On room.check_in.completed → inference publishes guest.spend.predicted → consumers: personalized offer service, upsell service, loyalty tracker, housekeeping scheduler
On room.check_out.completed → inference publishes maintenance.issue.predicted → consumers: housekeeping service, maintenance coordinator
On payment.captured → consumers: billing service, loyalty points service, finance reporting

Événements IA

room.demand.forecasted
booking.cancellation_risk.scored
guest.spend.predicted
occupancy.rate.forecasted
maintenance.issue.predicted

Cas d'utilisation IA

Room demand forecasting
Occupancy rate forecasting
Booking cancellation risk scoring
Guest spend prediction
Predictive maintenance (rooms and facilities)
Guest churn prediction
Review sentiment analysis

Industrie Financière

Événements

account.opened
funds.transferred
payment.processed
loan.approved
fraud.detected

Flux d'événements

On account.opened → inference publishes customer.churn_risk.scored, loan.default_risk.scored → consumers: onboarding service, risk assessment service, KYC/AML workflow
On funds.transferred → inference publishes transaction.fraud_risk.scored → consumers: transaction hold service, compliance system, customer alert
On payment.processed → inference publishes payment.failure_risk.predicted → consumers: customer notification service, retry manager
On loan.approved → inference publishes credit_limit.adjustment.recommended, loan.default_risk.scored → consumers: KYC/AML workflow, document generation, disbursement service, credit risk service
On fraud.detected → consumers: account freeze service, customer notification, compliance reporting

Événements IA

transaction.fraud_risk.scored
loan.default_risk.scored
customer.churn_risk.scored
credit_limit.adjustment.recommended
payment.failure_risk.predicted

Cas d'utilisation IA

Credit scoring
Transaction fraud scoring
Loan default risk prediction
Credit limit adjustment recommendation
Customer lifetime value prediction
Next‑best‑product recommendation

Médias & Diffusion

Événements

content.viewed
playback.started
playback.interrupted
subscription.renewed
recommendation.served

Flux d'événements

On content.viewed → inference publishes engagement.level.predicted, ad.yield.forecasted → consumers: ad insertion engine, content curator, revenue optimizer
On playback.started → inference publishes content.recommendation.generated → consumers: content suggestion service, ad insertion engine
On playback.interrupted → inference publishes playback.failure_risk.predicted → consumers: CDN failover service, QoS monitor
On subscription.renewed → inference publishes customer.churn_risk.scored → consumers: loyalty offer service, account manager
On recommendation.served → consumers: engagement tracker, A/B test service, analytics service

Événements IA

content.recommendation.generated
customer.churn_risk.scored
engagement.level.predicted
ad.yield.forecasted
playback.failure_risk.predicted

Cas d'utilisation IA

Personalized content recommendations (session‑level, real‑time)
Churn prediction based on engagement, content patterns, and QoS signals
Ad yield forecasting
Content engagement prediction
Quality of experience prediction
Content performance forecasting

Mines

Événements

extraction.started
equipment.fault.detected
safety_incident.reported
ore.processed
shipment.loaded

Flux d'événements

On extraction.started → inference publishes production.output.forecasted → consumers: production planner, logistics coordinator, inventory service
On equipment.fault.detected → inference publishes equipment.failure.predicted → consumers: maintenance work order service, parts procurement
On safety_incident.reported → inference publishes safety_incident.risk.scored → consumers: evacuation coordinator, shutdown service, compliance reporter
On ore.processed → inference publishes ore.grade.predicted → consumers: processing parameter adjuster, production planner
On shipment.loaded → consumers: logistics coordinator, inventory updater, billing service

Événements IA

equipment.failure.predicted
safety_incident.risk.scored
ore.grade.predicted
production.output.forecasted

Cas d'utilisation IA

Ore grade prediction
Equipment failure prediction
Production output forecasting
Environmental risk modeling
Worker safety risk scoring

Municipalités

Événements

traffic_flow.updated
parking_spot.occupied
waste_level.measured
air_quality.recorded
incident.reported

Flux d'événements

On traffic_flow.updated → inference publishes traffic_flow.level.predicted → consumers: signal timing service, routing information system
On parking_spot.occupied → inference publishes parking_demand.forecasted → consumers: dynamic pricing engine, routing information system
On waste_level.measured → inference publishes waste_level.quantity.forecasted → consumers: collection routing service, dispatch planner
On air_quality.recorded → inference publishes air.quality.level.forecasted → consumers: public alert service, school notification, event organizer
On incident.reported → inference publishes incident_risk.scored → consumers: emergency response coordinator, fire dispatch, police dispatch, EMS dispatch

Événements IA

traffic_flow.level.predicted
parking_demand.forecasted
waste_level.quantity.forecasted
air_quality.level.forecasted
incident_risk.scored

Cas d'utilisation IA

Traffic flow prediction for congestion management and signal optimization
Parking demand prediction for dynamic pricing and routing
Waste collection optimization (OR/AI)
Environmental forecasting (air quality, noise, flood risk)
Emergency response resource prediction

Santé

Événements

appointment.scheduled
patient.checked_in
diagnosis.recorded
medication.prescribed
claim.submitted

Flux d'événements

On appointment.scheduled → inference publishes resource.utilization.forecasted → consumers: scheduling service, capacity planner, staffing coordinator
On patient.checked_in → inference publishes appointment.no_show_risk.scored → consumers: outreach service, scheduling optimizer
On diagnosis.recorded → inference publishes patient.readmission_risk.scored, diagnosis.proposed → consumers: care coordination service, resource planner, clinical decision support
On medication.prescribed → inference publishes medication.adherence_risk.predicted → consumers: follow-up workflow, pharmacy notification
On claim.submitted → consumers: provincial billing service, claims adjudication service, compliance reporter

Événements IA

appointment.no_show_risk.scored
diagnosis.recommendation.generated
patient.readmission_risk.scored
medication.adherence_risk.predicted
resource.utilization.forecasted

Cas d'utilisation IA

No‑show prediction
Readmission risk prediction
Medication adherence risk prediction
Resource utilization forecasting
Diagnosis proposal generation
Predictive triage

Services publics

Événements

meter_reading.captured
outage.reported
service.restored
work_order.dispatched

Flux d'événements

On meter_reading.captured → inference publishes consumption.anomaly.scored, load.demand.forecasted → consumers: grid balancer, capacity planner, demand response service
On outage.reported → consumers: crew dispatch service, customer notification, grid balancer
On work_order.dispatched → inference publishes asset.failure.predicted, leak.risk.scored, outage.risk.predicted → consumers: preventive maintenance service, parts procurement, field crew dispatcher, grid balancer
On service.restored → inference publishes consumption.level.forecasted → consumers: grid balancer, capacity planner, customer notification

Événements IA

outage.risk.predicted
load.demand.forecasted
leak.risk.scored
asset.failure.predicted
consumption.anomaly.scored
consumption.level.forecasted

Cas d'utilisation IA

Load demand forecasting (short‑term and long‑term)
Consumption anomaly scoring
Asset failure prediction
Leak risk scoring
Outage risk prediction
Consumption level forecasting

Télécom

Événements

service.activated
plan.changed
usage.recorded
outage.detected
invoice.produced
ticket.updated
ticket.resolved

Flux d'événements

On service.activated → consumers: provisioning service, billing service, welcome notification
On plan.changed → inference publishes customer.churn_risk.scored → consumers: retention offer service, account manager
On usage.recorded → inference publishes network.outage_risk.predicted, usage.demand.forecasted, fraud.risk.scored → consumers: network operations center, capacity planner, network planning service
On outage.detected → consumers: customer notification service, field crew dispatcher, network operations center
On invoice.produced→ inference publishes plan.change.recommended, customer.churn_risk.scored → consumers: retention offer service, account manager, upsell service, customer success manager
On ticket.updated → inference publishes ticket.escalation_risk.scored, customer.churn_risk.scored → consumers: priority queue service, supervisor alert, customer notification
On ticket.resolved → consumers: satisfaction survey service, churn risk re-scorer, loyalty tracker

Événements IA

customer.churn_risk.scored
network.outage_risk.predicted
usage.demand.forecasted
plan.change.recommended
ticket.escalation_risk.scored
fraud.risk.scored

Cas d'utilisation IA

Churn prediction
Network outage risk prediction
Usage demand forecasting
Plan change recommendation
Ticket escalation risk scoring
Fraud detection