Air Cargo Revenue Management Project
- Customer
- Turkish Technology
- Project manager on the customer side
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- IT Provider
- TURKISH TECHNOLOGY
- Year of project completion
- 2024
- Project timeline
- March, 2021 - September, 2024
- Project scope
- 7360 man-hours
- Goals
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This project was implemented in 3 workstreams:
1) Integrations Development: 6 Drops to implement web service integrations with the Reservation system.
2) Machine Learning Engine Developments:
a) Pricing Engine
b) Capacity Engine
c) Allotment Engine
d) Contract Engine
3) Portals and Desktop Clients:
a) Sales Client
b) Sales Portal
c) Allotment Portal
d) Contract Portal
e) TKGO Portal
f) Reports
- Project Results
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1. Up to 9000 + User Acceptance Test Cases validated through JIRA.
2. Up to xx packages of deployments have been done.
3. Up to xxxx lines of code has been conducted.
4. Up to xxxx number of meetings have been held.
5. A complex JIRA configuration has been implemented such as:
■ XRAY test suite for complex tests
■ Agile Board for backlog and release management.
■ Release Management module
■ Comprehensive Dashboard in order to keep track of the number of project figures.
1. Organize well carried out “Change Management” meetings as series
2. Define “Users, Key Users and Super users” a part of the “Change Management” process.
3. Assign additional “Test Manager” and “Training Manager” if possible.
4. Assign Test and Development resources, and increase test and development resources earlier to catch up with the tight schedule.
5. Organize weekly “Analysis and Product Development” meetings with Solutions teams as series.
6. Organize “Daily” and “Weekly” project meetings with Solutions teams as series
7. Organize “Daily” and “Weekly” project meetings with Business teams as series
8. Organize “Weekly” project meetings with Directors as series
9. Organize Steering Committee meetings with stakeholders every 3 months
10. Every 3 months train the trainer sessions on site.
11. Get very well training documentations prepared by the parties.
12. Organize on site training sessions for internal and the external teams.
13. Get very well recorded training videos prepared to share with overseas teams
14. Invite overseas teams to the Main Office/Headquarters for training and change Management purposes.
15. Organize Daily escalation mechanism for cut-over period.
16. Organize coordination meetings with the internal and external parties as series
The uniqueness of the project
Air Cargo Revenue Management (ACRM) product is a Machine Learning based R&D product, developed for over 3 years beginning in early 2021 and went online with Phase-1 in 2022 and Phase-2 in 2024. ACRM has suggestion algorithms that will provide benefits far beyond its examples in the sector, is integrated with all sales channels, it can also manage all sales processes such as pricing, network, capacity, contract management in parallel with optimization support to maximize system contribution, ant it is a technology product that directly affects sales force automation with its demand & capacity forecast and dynamic pricing engine.
This innovation product stands out from its competitors and stands out in terms of both its future-oriented and innovative features when compared to examples in the sector and its direct contributions to company outputs.
Main features:
The AI-powered Air Cargo Revenue Management system responds to cargo demand and capacity changes in real time, while creating optimal price offers by taking into account market dynamics and capacity efficiency.
It provides revenue increase at the network level with its flight and product-based dynamic pricing structure.
ACRM offers affordable prices for early reservations through demand management, while providing capacity for urgent reservations.
In the Air Cargo Revenue Management system, dynamic prices created with machine learning support can be viewed via the sales portal and spots can be easily created based on these prices.
It facilitates overbook management with capacity (show-up) estimation.
It increases customer satisfaction by responding to demands faster with digitalized sales processes.
During the allotment process, regular long-term traffic can be managed with optimization.
During the contract management process, optimized fees can be viewed and managed based on demand management, market data and agency groupings.
It digitizes sales processes thanks to direct integration into global sales channels and reservation systems.
With the calendar sales feature, flight and product based dynamic prices can be displayed instantly in the TK GO system and the customer can quickly make a reservation.
- Used software
- Azure Cloud, and group of servers
- Difficulty of implementation
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A mega scaled project initiated within 2 phases in 3,5 years, and 7360 + person/hours have been spent.
6 + integrations, 4 Decision Engines, 4 Portals and 1 desktop client have been developed and implemented - Project Description
- Development of a software product that will enable short, medium and long-term forecasting to strengthen the decision-making mechanism of Turkish Cargo sales activities, and predict the cargo capacity to be realized based on flight segment and the O&D and cargo demand based on flight segment for cargo aircraft.
- Project geography
- Turkish Cargo stations are located all around EU, ASIA, AFRICA and AMERICAS in 127 countries