Together with Pegasus Airlines, one of Türkiye’s largest and fastest-growing carriers, serving 37M+ passengers annually across 156 destinations in 54 countries, GTech delivered the Waste Optimization Project: an AI-driven system that ensures the right quantity of in-flight café products is loaded for every flight.

The Project:

• Flight-by-flight demand forecasting adapted to route, season, and timing
• Smart loading that eliminates both overstock and shortages
• Faster, more consistent operations with less manual intervention
• Machine learning and optimization models applied to in-flight café stock management

Achievements:

• +32% increase in per-passenger café revenue
• +30% increase in per-passenger profitability
• -7% reduction in food waste rates
• 2nd place, Ecosystem Benefit category, Yapay Zeka Arf Awards (organized by BThaber Gazetesi)

We are proud to have enabled this success as the technology partner in Pegasus Airlines’ digital transformation journey.

By combining flight-by-flight demand forecasting with machine learning-based optimization, GTech helped Pegasus Airlines move away from one-size-fits-all café stock loading and toward a model tailored to each route, season, and time of day. The result was a measurable jump in both revenue and profitability per passenger, alongside a meaningful cut in food waste, recognized externally with a 2nd place finish in the Ecosystem Benefit category at the Yapay Zeka Arf Awards.

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The Project:

• Integrating all relevant data into a single system.
• Planning Operation and Investment Expenses in detail, built from scratch.
• Giving senior management instant access to Operation and Investment Expenses reports and visuals.
• Automating the system and moving away from the manual structure.
• Preventing manual errors throughout the process.

Achievements:

• Data can now be tracked in real time through user-friendly screens.
• Correct data is accessible quickly through a single platform.
• Expense data can be controlled and analyzed quickly and securely by Cost Center, Category, and Sub-Category.
• Faster access to data supports more effective decision-making.
• Time is saved thanks to access to data from a single platform.

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The Project:

• Integrating all relevant data into a single system.
• Planning Operation and Investment Expenses in detail, built from scratch.
• Giving senior management instant access to Operation and Investment Expenses reports and visuals.
• Automating the system and moving away from the manual structure.

Achievements:

• Data can now be tracked in real time through user-friendly screens.
• Correct data is accessible quickly through a single platform.
• Expense data can be controlled and analyzed quickly and securely by Cost Center, Category, and Sub-Category.
• Faster access to data supports more effective decision-making.
• Time is saved thanks to access to data from a single platform.

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The Project:

• Consolidating, monitoring, and reporting data from specialized systems within a single environment.
• Creating a data warehouse environment based on the Single Source of Truth principle and a layered architecture.
• Building a platform where users can perform their own analytical reporting.

Achievements:

• The group now has access to single, centralized, and accurate data.
• The platform was prepared for easy access to exact data from a single source.
• Decisions became more effective and time was saved across the organization.
• Esfa Group’s own experts gained the competencies needed to make further developments within the data warehouse environment themselves.

The post Esfa Grup Singularity DWH Project appeared first on GTech.

• Modeling and consolidation of operations and finance data in Azure Dynamics 365 in the data warehouse with DWH architecture.
• Designing data warehouse architecture with Synapse infrastructure on Azure.
• Modeling of consolidated group company data in Azure Analysis Service layer.
• Designing dashboard reports for decision makers.
• Development of operational reports for business units.

Achievements:

• Ensuring visualization of data with Power BI infrastructure.
• D 365 Providing a single source of accurate data by collecting user data outside F&O in the data warehouse.
• Obtaining instant and fast reports for business units with operational reports and accelerating decision-making processes.
• Moving the consolidated, consistent and fast reporting infrastructure beyond data with Power BI and establishing an up-to-date technological structure.

The post Tiryaki Agro<br>Data Warehouse Project appeared first on GTech.

The Project:

• Digitalizing operational processes across the group.
• Providing fast access to single, accurate data to accelerate senior management’s decision-making.
• Preventing manual errors and preparing the right reports with the right data by moving away from the manual structure.
• Making operational and financial KPIs available for reporting to the management team.

Achievements:

• Deduplication, consolidation, and integration were achieved across the financial data of all Tekfen Group companies.
• Dashboards became user-friendly and easy to navigate.
• The right data is now accessible from a single platform.
• Decisions became more effective, and time was saved across the organization.
• An easily manageable, secure, and customizable system was put in place.

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The Project:

• Ensuring that data is reported from a single, correct source across the group.
• Performing operational and financial performance follow-up for group companies.
• Standardizing reporting and analysis practices across the group.
• Enabling reporting on the Oracle BI side directly from the database, without any additional layer in between.

Achievements:

• Real-time data monitoring enabled senior management to make strategic decisions quickly.
• Operational processes were digitized and data integration was streamlined.
• Manual errors were avoided thanks to a more automated process.
• All data belonging to group companies was deduplicated for a single source of truth.
• Reports became more accurate, built on accurate underlying data.
• Reports are now accessible from anywhere through customized dashboards.
• The system’s flexibility and operating speed both increased.

The post Sabancı Holding, <br>Financial Consolidation & Management Reporting Project appeared first on GTech.

• Occurring data and formula errors in submitting reports to management.
• Too much time loss with long reporting processes in manual processes.
• Reporting the data from different sources requires repetitive processes and are open to human errors.
• To ensure the reduction of time loss caused by manual data collection.

Achievements:

• Creation of centralized single and accurate data.
• Transparent audit opportunity with process flow and authorization.
• Process optimization.
• Automation of standard operational processes.
• Data processing without the need for IT support.
• Increasing system’s flexibility and operating speed.

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• To perform the data collection process quickly and reliably.
• To ensure that all consolidated reports are retrieved from the system.
• To systematize IFRS compliant management reporting and budget consolidation processes.
• To facilitate the control process in the data collection process with validations and reconciliation reports.
• To automate legal entry by integrating trial balance with FDMEE.

Achievements:

• Time savings by reducing the time spent in the systematic reporting system process.
• Optimization of processes by automating the operations.
• Reporting with centralized single and accurate data.
• Establishment of decision mechanisms based on accurate data.
• With PDF book reports, ensuring that the reports to be submitted to the auditors could be easily retrieved in each period.

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• Preventing data formula errors in Budget – Actual reports.
• Making quick budget changes on different scenarios.
• Data security, authorization, transparent auditing and logging requirement.
• Reducing time loss caused by manual data collection.

Achievements:

• Ease of accessing and reporting all budget data in different versions on a single platform.
• Designing the budget process for more effective decision processes, a budget standardization covering group companies.
• Prevention of formula errors for data entry automation and manual entries.
• Transparent audit opportunity with process flow and authorization.

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