Our Expertise in AI and Cloud Technologies
Optimization Expertise:
Utilizing tools like Google OR-Tools, Gurobi, and CPLEX to solve complex logistics, courier routing, and order distribution problems.
Machine Learning for Forecasting:
Implementing time-series models, regression, and gradient boosting algorithms (XGBoost, LightGBM) for demand forecasting and shift planning.
Chat Automation & NLP:
Using frameworks like Rasa and Dialogflow for developing intelligent AI-driven chatbots to automate customer interactions.
Real-Time Data Processing:
Leveraging Kafka and real-time cloud functions for continuous data processing and optimizing real-time courier distribution.
01
Languages and Frameworks​
Python:
• The most widely used language for AI and machine learning projects due to its extensive library support and ease of use.
• Libraries like NumPy, Pandas, and SciPy are used for data manipulation and preprocessing.
• TensorFlow and PyTorch are common frameworks for building machine learning and deep learning models for demand forecasting and optimization problems.
JavaScript (Node.js):
• Often used for real-time communication in chat automation and building the backend of web applications that handle AI-driven tasks.
• Libraries like Socket.io allow for real-time data transfer, and Node-RED is useful for building AI workflows.
R:
• Used for statistical computing and data analysis, particularly in demand forecasting. It’s ideal for tasks requiring heavy statistical modeling or time-series analysis.
03
Cloud & Infrastructure
Google Cloud AI/ML & Azure AI:
• Both platforms offer pre-built services like AutoML, which can help with demand forecasting and order optimization by automatically selecting the best machine learning models.
• Google Cloud Functions and AWS Lambda can be used for scalable, event-driven architecture supporting real-time order distribution or chat automation.
Docker & Kubernetes:
• For containerizing AI applications and running scalable workloads. Often used in larger order distribution or demand forecasting systems that require frequent scaling based on demand.
02
Optimization Algorithms
Google OR-Tools (Python, C++):
• A robust optimization toolkit for vehicle routing problems (VRP), which is at the core of courier optimization. It includes solvers for linear programming and combinatorial optimization, essential for resource allocation tasks like shift scheduling and order routing.
Gurobi & CPLEX (Python, Java):
• State-of-the-art solvers for complex optimization tasks like order distribution and shift scheduling. They support mixed-integer programming (MIP), which is used to find optimal or near-optimal solutions for these tasks.
XGBoost & LightGBM (Python, R):
• Commonly used machine learning algorithms for demand forecasting, especially when dealing with large datasets. They handle structured data well and are highly efficient for real-world business problems.
04
Data Handling & Databases:
SQL (PostgreSQL, MySQL):
• Essential for managing structured data, particularly in shift scheduling or historical demand data, to train forecasting models.
MongoDB & Cassandra:
• NoSQL databases are beneficial when handling large datasets, such as real-time courier tracking data or demand spikes.
Apache Kafka (Java, Python):
• Useful for real-time data streaming applications, which are crucial in courier optimization and order distribution scenarios where data from multiple sources must be processed quickly
AI Projects Developed by Our Team
1. Order Distribution Optimization
• Technology Stack: Python, TensorFlow, Google OR-Tools, Django for web interface.
• We have developed a robust AI-based system that optimizes order distribution across multiple delivery points, leveraging machine learning algorithms to reduce delivery times and transportation costs. This solution enhances operational efficiency for businesses managing large-scale distribution networks.
2. Courier Optimization
• Technology Stack: Python, Google OR-Tools, Scikit-learn, Node.js.
• Our team designed an AI-powered courier optimization tool that calculates the most efficient routes, minimizing travel time and fuel consumption. This solution enables companies to optimize their logistics processes, ensuring timely deliveries while cutting costs.
3. Demand Forecasting
• Technology Stack: Python, Pandas, Prophet (Facebook), Keras, Flask.
• We implement AI-driven demand forecasting models to help businesses predict future demand based on historical data. Using advanced machine learning techniques, our solution provides accurate demand predictions, allowing companies to maintain optimal stock levels and plan their resources efficiently.
4. Shift Planning
• Technology Stack: Python, PuLP (Linear Programming), FastAPI, JavaScript (React).
• Our AI-driven shift planning system automates workforce scheduling, taking into account factors such as demand forecasts, employee availability, and labor laws. This system helps businesses reduce overtime costs and improve staff allocation by generating optimized schedules.
5. Chat Automation
• Technology Stack: Python, OpenAI API, Django, JavaScript (Vue.js).
• We develop AI-powered chat automation systems that handle customer interactions efficiently. Using natural language processing (NLP), our chatbots offer personalized, real-time responses to customer queries, reducing the need for human involvement and improving overall customer service.
End-to-End Software Development
Full-Stack Development:
Expertise in both front-end (JavaScript, jQuery) and back-end (C#, PHP) technologies, with a strong focus on performance optimization and UI/UX improvements.
Database Design & Management:
Extensive experience in relational (MS SQL, MySQL) and NoSQL (MongoDB) databases, focusing on scalability, security, and performance.
Cloud Infrastructure:
Proficient in cloud-based solutions, including Azure and AWS, for deployment and management of web applications.
API Development & Integration:
Skilled in integrating third-party services, financial APIs, and creating RESTful APIs for web services.
Real-Time Data Processing:
Demonstrated experience with real-time data collection, financial services integration, and socket programming in mission-critical applications.
01
Languages and Frameworks​
C# (.NET, .NET Core):
• Used extensively in web and desktop applications. Core language for back-end development in several projects such as Ntv.com.tr, Ntvradyo.com.tr, DoÄŸuÅŸ Intranet, and Kralmuzik.com.tr.
• Full-stack and service-based architecture expertise with C# in projects like Teletext Data Service and Reuters Real-Time Data Collection.
• PHP:
• Used for web applications like Puhutv.com, Tank Takip Yazılımı, and Puan Sistemi Yazılımı.
• Developed backend logic, integrated APIs, and handled data manipulation with MySQL databases.
• JavaScript (Vanilla, jQuery):
• Primarily focused on front-end scripting and user interface enhancements in projects like Ntv.com.tr, Puhutv.com, Dogusdergi.com, and DFP Ad Scripting.
• Created interactive elements, front-end features, and ad solutions for web apps.
03
Cloud & APIs
• Azure Cloud:
• Worked on cloud-based infrastructure for projects like Kralmuzik.com.tr, ensuring scalability, security, and seamless REST API integration.
• AWS Cloud:
• Managed cloud infrastructure in DFP Ad Scripting, integrating cloud services for ad management and data storage.
• Reuters API (RFA.NET):
• Experience in integrating real-time financial data into enterprise systems, as demonstrated in the Teletext Data Service and Reuters Data Collection projects.
02
Databases
• MS SQL Server:
• Implemented in most enterprise-level solutions such as Ntvradyo.com.tr, Reuters Data Collection, Inventory Program, and DoÄŸuÅŸ Media Group In-House Intranet.
• Experience in database design, optimization, stored procedures, and handling large datasets.
• MongoDB:
• NoSQL database expertise showcased in Ntv.com.tr for handling unstructured data and scalable performance.
• MySQL:
• Used for database management in Puhutv.com and Freelance Projects, integrating with both front-end and back-end systems for efficient data retrieval.
04
Other Technologies
• Socket Programming:
• Implemented in Reuters Real-Time Data Collecting, showcasing proficiency in low-level data communication.
• Console Services:
• Developed for automating backend processes and tasks in projects such as Teletext Data Service and Integration of Accounting and Sales Departments
Projects Developed by Our Team
Doğuş Yayın Grubu
Technologies:
• .NET (C#): Backend development for websites such as Ntv.com.tr, Ntvradyo.com.tr, and Startv.com.tr, with a focus on custom business logic, API integrations, and performance optimization.
• MongoDB: Used for data storage and processing in the Ntv.com.tr project.
• JavaScript (Vanilla, jQuery): Frontend scripting across multiple projects including Kralmuzik.com.tr and DFP ad scripting projects for video and display ads.
• Azure Cloud: Cloud-based backend and API solutions for projects like Kralmuzik.com.tr.
• AWS Cloud: Infrastructure management and scripting for DFP ad solutions.
Core Capabilities:
• Web development: Full-stack expertise using .NET technologies for high-traffic sites.
• Cloud solutions: Implementing scalable solutions using Azure and AWS for backend infrastructure.
• AdTech development: Custom ad script development using Vanilla JavaScript and PHP.
Satacak Bilgi Teknolojileri
Technologies:
• PHP, MySQL: Backend development for e-commerce platforms, with strong integration into accounting and warehouse systems.
• Server Management: Experience with configuring and managing servers for optimal performance and security.
• Database Design: Expertise in developing complex database architectures to handle e-commerce transactions.
Core Capabilities:
• E-commerce development: Full-cycle development from technical analysis to software deployment.
• System integration: Integrating accounting and warehouse management systems with e-commerce platforms.
Technologies:
• C# .NET, MS SQL: Custom desktop applications for tracking and reporting systems (Tank Tracking and Water Distribution).
• PHP, MySQL: Developed B2B integrations for various e-commerce platforms, and custom web-based applications like a points-based customer rewards system.
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Estore Elektronik Ticaret ve Sanal MaÄŸaza Hizmetleri
Technologies:
• ASP, SQL Server: Backend development for e-commerce sites, with heavy use of ASP and SQL for handling content management, inventory, and transactional data.
• B2B E-commerce Solutions: Developed and managed two large B2B projects for Turkcell.
Core Capabilities:
• E-commerce infrastructure: Deep experience in building and maintaining high-traffic e-commerce platforms.
• System integrations: End-to-end integration for e-commerce, including banking, inventory, and shipping systems.
Hürriyet Ä°nternet Hizmetleri
Technologies:
• ASP, SQL Server: Development of dynamic web content and management systems for high-traffic news portals.
• Vignette Portal: Used for content management and site performance optimization.
Core Capabilities:
• News portal management: Developed solutions for high-demand content management and web services.
Esit Elektronik Ltd. Åžti.
Technologies:
• Visual Basic, MS Access: Development of automation software for the manufacturing sector, particularly focused on data collection and reporting systems.
Core Capabilities:
• Industrial software development: Strong expertise in creating automation and data communication solutions for industrial clients.