OUR R&D CENTER ACHIEVEMENTS
- We ranked 7th in R&D investments among software and information technology companies in 2022.
- Domestically, 4 of our R&D projects supported by TÜBİTAK 1501 were successfully completed.
- 5 of our R&D projects were approved by Eureka clusters within our international studies.
- We have applied for a total of 44 patents since 2017, and 7 of our patents have been approved by the Turkish Trademark and Patent Office.
- We have a total of 4 active international projects, 3 ongoing projects approved by ITEA & TÜBİTAK 1509 and 1 ongoing project approved by EUREKA & TÜBİTAK 1509.
| University/Department | Type of Collaboration | Description |
|---|---|---|
| Kadir Has University /Faculty of Engineering and Natural Sciences | TÜBİTAK-2244 Industrial Doctorate Program | "Collaboration under the project "Development of Machine Learning Solutions for After-Sales Services in the Automotive Industry" |
| Ankara University /Faculty of Engineering | Academic Consultancy | Academic consultancy in "Speech to Text" |
| Bilgi University /Faculty of Law | Academic Consultancy | Academic consultancy on processes of adaptation in IT Law, especially LPPD & GDPR |
| Bilgi University /Institute of Social Sciences | Academic Consultancy |
Academic consultancy in Organizational Psychology under the project "Journey of Talent" |
| Istanbul Technical University /Faculty of Computer and Informatics Engineering | Academic Consultancy | • "Collaboration under the "OMD - Optimal Management of Demand" ITEA3 Call7 Labelled & 1509 TÜBİTAK International Industry R&D Project • Collaboration under the "Zeyrek - Automotive Support Channels Dialogue System" 1501 TÜBİTAK Industry R&D Project • Academic consultancy in "Natural Language Processing" |
| Istanbul Technical University /Faculty of Industrial Engineering | Academic Consultancy | Academic collaboration within the scope of the "Digital Warehouse - An Innovative Forecasting Approach and Collection Optimization in the Spare Parts Warehouse Order Method" 1501 TÜBİTAK Industry R&D Project |
| Istanbul Technical University /Faculty of Science and Letters | Academic Consultancy | • Academic consultancy within the scope of the "Smart Media" project • Academic consultancy in "Big Data" |
| Sabancı University /Faculty of Engineering and Natural Sciences | Academic Consultancy | Collaboration within the scope of the "Pascal - Next Generation Fleet Rental and Pricing Decision Support System" 1501 TÜBİTAK Industry R&D Project |
| Yıldız Technical University /Faculty of Engineering and Architecture | Academic Consultancy | Academic consultancy within the scope of the "D-SUİT Employee-Oriented Corporate Process Automation Platform" project |
| Sabancı University /Faculty of Engineering and Natural Sciences | Industry-Oriented Projects Program | • Collaboration within the scope of the "Expertise Demand Forecasting and Staff Location Planning" project • Collaboration within the scope of the "Optimization of Vehicle Parking and Waiting Times at Vehicle Inspection Stations" project • Collaboration within the scope of the "Prevention of Errors and Abuse in Vehicle Inspection Systems" project • Collaboration within the scope of the "Vehicle Depreciation Estimation" project • "Shift Management/Planning within the scope of Service Integration in Data and Business Analytics and • Collaboration within the scope of the project "Customer Scoring and Smart Customer Distribution System in insurance" project • Collaboration within the scope of the ""Shift Management/Planning within the scope of Service Integration in Data and Business Analytics" project • Collaboration within the scope of the "Agency Commission Planning with Insurance Software" project |
| Sabancı University / Executive Development Unit | Education | 6-month Data Science Training |
| Title | Conference / Journal |
|---|---|
| Development of Goal-Oriented Dialogue Systems for Customer Services in Automotive Industry | IEEE Xplore |
| Automated Glossary Extraction from Collaborative Requirements Models | IEEE Xplore |
| A Distributed Message Queuing Mechanism for a Mailing System with High Performance and High Availability | IEEE Xplore |
| The Modernization of an ERP Application with Agile Methodology in The Automotive Sector in Turkey | ACM Digital Library |
| Combining Domain Knowledge & Machine Learning: Making Predictions using Boosting Techniques | ACM Digital Library |
| An Initial Study of Machine Learning Underspecification Using Feature Attribution Explainable AI Algorithms: A COVID-19 Virus Transmission Case Study | Springer |
| A Novel Approach for Optimizing the Supply Chain: A Heuristic-Based Hybrid Algorithm | Hindawi |
| Tarihsel Olayları Çözümlemede Metin Madenciliği: Nutuk Üzerine Bir Uygulama | Atatürk Yolu |
| En Küçük Kareler Regresyonuna Alternatif Bir Yöntem: Kantil Regresyon | Avrasya Uluslararası Araştırmalar |
| The Implementation of Smart Contract via Blockchain Technology in Supply Chain Management | International Conference on Artificial Intelligence and Blockchain Technology (AIBT 2021) |
| Workforce Planning in Restaurants using Ensemble Learning Methods | The 4th International Conference on Data Science and Applications (ICONDATA 2021) |
| Forecasting Customer Collection Using Machine Learning Approaches | The 4th International Conference on Data Science and Applicationas (ICONDATA 2021) |
| Forecasting Faulty Parts of the Vehicles Visiting the Service Stations | The 4th International Conference on Data Science and Applicationas (ICONDATA 2021) |
| Workload Forecasting of Warehouse Station | The 4th International Conference on Data Science and Applicationas (ICONDATA 2021) |
| Design Thinking Approach in Front-end Based Development | The 4th International Conference on Data Science and Applicationas (ICONDATA 2021) |
| Forecasting the Next Maintenance Dates of Passenger Cars | The 4th International Conference on Data Science and Applicationas (ICONDATA 2021) |
| Evaluating the Correctness of Explainable AI Algorithms for Classification | The 18th The Pacific Rim International Conference on Artificial Intelligence (PRICAI 2021 ) |
| Evaluating Feature Attribution Explainable AI Methods on Nonmonotonic Datasets Generated with Abstract Argumentation | The 18th International Conference on Principles of Knowledge Representation and Reasoning (KR 2021) |
| Optimization of Customer Assignment Problem for Call Center Employees with Genetic Algorithm | The 1st International Congress on Artificial Intelligence and Data Science (ICADA 2021) |
| Car Insurance and Traffic Insurance Renewal Prediction with Machine Learning Methods for Call Center Assignment and Scheduling Problem | The 40th Congress on Operations Research/Industrial Engineering (YAEM 2021) |
| Image Classification Using Deep Learning Algorithms | 20th International Symposium on Econometrics, Operations Research and Statistics (EYİ 2020) |
| Combining Domain Knowledge & Machine Learning: Making Predictions using Boosting Techniques | The 3rd International Conference on Advances in Artificial Intelligence (ICAAI 2019) |
| A Novel Approach to Predict the Spare-Part Order Levels focusing on Automotive Industry | 25th International Conference on Multiple Criteria Decision Making (MCDM 2019) |
| Implementation of an Enterprise-Level Open Source APM System and Comparisons with Alternatives Using the MCDM Methods | 25th International Conference on Multiple Criteria Decision Making (MCDM 2019) |
| Bilgi ve Bilgisayar Güvenliği | IV. Uluslararası Bilgisayar Bilimleri ve Mühendisliği Konferansı (UBMK 2019) |
| Spontane Gönüllüler İçin Tasarlanmış Afet Yardım Sistemi | 2. Uluslararası Doğal Afetler ve Afet Yönetimi Sempozyumu (ISHAD2018) |
| Application Number | Name of Invention | Date of Registration | Application Number | ||
|---|---|---|---|---|---|
| 2017/03165 | Price Quotation System | 8.11.2021 | 2017/03165 | ||
| 2017/03326 | A Support System for Ordering and Selling Products | 3.12.2021 | 2017/03326 | ||
| 2017/03858 | A Control and Management System for Address Data | 1.04.2021 | 2017/03858 | ||
| 2017/05761 | A System for Automatic Rule-Based Data Transfer | 1.04.2021 | 2017/05761 | ||
| 2017/10002 | A System for Product Diversity and Pricing | 20.04.2021 | 2017/10002 | ||
| - | A System for Control of Product Shipment in Stock Areas | - | - | ||
| - | A System That Provides Vehicle Transfer Management and Tracking Vehicles with RFID | - | - | ||
Projects
Doğuş Teknoloji carries out domestic and international R&D projects in its R&D Center. The company carries out its R&D projects, experiencing new collaborations and technologies in all clusters under the Horizon and Eureka programs.
Subject: A software tool development project to help service providers use their resources effectively, allocate incoming calls to the right expert/provider accurately, and offer the right solution at the right place.
Field of Application: Consumer Electronics
R&D Focus: Natural Language Processing
Doğuş Teknoloji's Contribution: Development of a system aimed at consumer electronics to respond to failure notifications made through the website using NLP.
Subject:A project to develop a decision support system for fleet leasing and second-hand vehicle sales that estimates the vehicle's depreciation (Residual Value) using machine learning, as well as an operational fleet rental platform using this system.
Field of Application: Automotive Fleet Rental and Used Vehicle Sales
R&D Focus: Machine Learning
Subject: A Turkish smart virtual assistant/chatbot development project that enables companies in the automotive industry to expand their customer support channels (call centers, websites and platforms such as WhatsApp, Instagram, Facebook Messenger, Microsoft Teams, Telegram, Slack, etc.) using machine learning, deep learning, and natural language processing.
Field of Application:Automotive Call Center
R&D FocusNatural Language Processing
Subject:A project developed to make the order picking process faster, more efficient, and more cost-effective in spare parts warehouses. This project involved efforts carried out on the picking algorithm, order picking time estimation model, and simulation model development. The picking algorithm allows work orders to be created and assigned to workstations in the most appropriate way. This ensured that picking staff could access the relevant work orders through mobile handheld terminals and managed the part picking using the shortest route and as quickly as possible.
Field of Application: Automotive Spare Parts Warehouse
R&D Focus: Linear Regression & Optimization
Subject: An application development framework project that allows software teams to develop projects faster using contemporary software architectures in line with today’s rapidly evolving software development technologies, making it possible for the developed projects to be scaled more easily with a microservice architecture with less tendency for error.
Field of Application:Software Solutions
R&D Focus:Serverless Computing
Subject: A project to manage and monitor the process for the physical destruction of automotive spare parts that have expired, are damaged beyond use during transportation or storage, or depreciated in value, with smart contracts using the Hyperledger Blockchain infrastructure.
Field of Application:Automotive Spare Parts Disposal Process
R&D Focus:Blockchain
Subject:Zubizu 3.0 is a mobile app that combines loyalty and finance solutions. Customers are offered instant discounts, cashbacks or exclusive service opportunities as loyalty services in transactions made in contracted workplaces using the Zubizu QR code feature, their wallet balance, or hidden cards. Financial transactions (EFT, transfer, invoice payment, expenditure division) were also added to the loyalty programs in Zubizu 3.0. Zubizu 3.0's software architecture is developed entirely with a microservice architecture using open source technologies and adopting an event sourcing approach.
Field of Application:Lifestyle, Loyalty and Finance application
R&D Focus:Active-Active Multi Datacenter Kullanımı & Reactive & Highly Available and Auto Acalable Application Development
WINLAND R&D GAMES
- Every year, we reward our teammates who fulfill the R&D tasks by participating in the R&D Games competition, which we designed as part of the importance we give to R&D.
- In our competition, where scoring has been done with various criteria since 2017, our teammates who meet the criteria and rank with high scores receive lucrative prizes.
- The scoring system includes various criteria such as application to incentive and support programs, report writing, completion of graduation projects, participation in various programs, and technical writings determined by the R&D management office.
- Our 75 teammates who will be ranked in 2024 will receive a share of the 750,000 TL prize according to the miles they earn.
