OMD - Optimal Management of Demand
ITEA3 Call7 Labelled & 1509 TUBITAK Program to Support International Industry R&D Projects
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.
Pascal - New Generation Fleet Rental and Pricing Support System
1501 TÜBİTAK Program to Support Industrial R&D Projects
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
Zeyrek - Automotive Support Channels Dialogue System
1501 TÜBİTAK Program to Support Industry R&D Projects
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 Focus: Natural Language Processing
Digital Warehouse - An Innovative Forecasting Approach and Picking Optimization in the Spare Parts Warehouse Order Method
1501 TÜBİTAK Program to Support Industry R&D Projects
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
Indigo vNext - Next Generation Application Development Framework Distributed and Multi-Platform Supported with Micro Services on the Cloud and Containers
1501 TUBITAK Program to Support Industrial R&D Projects
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
DestruChain - Monitoring and Management of the Spare Parts Disposal Process using Blockchain Infrastructure
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
Zubizu 3.0 - Common Solution Platform where Loyalty and Financial Services can be Provided Together or Independently
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 Multi Datacenter & Reactive & Highly Available and Auto Acalable Application Development
SOLARPULSE - Optimization of Solar Energy Management
Spain – Turkiye Joint Call 2022 Labelled & 1509 TÜBİTAK International Industry R&D Projects Support Program
Subject: This project aims to develop a platform that predicts the energy that will be produced and consumed by locations such as homes and data centers that generate their own energy through solar panels. The platform will simulate energy consumption/production based on the addition or removal of hardware to these systems.
Field of Application: Energy
R&D Focus: Artificial Intelligence & Platform Design
Doğuş Teknoloji's Contribution: Daily energy consumption and production of the Data Center will be predicted using ML methods. A decision support system will be developed to estimate the energy that will be consumed when new hardware is added or the energy that will be produced when a new panel is added.
EARS - Adaptable Recommendation Systems for Various Sectors
ITEA Call 2021 Labelled & 1509 TÜBİTAK International Industry R&D Projects Support Program
Subject: This project aims to develop an AI-based recommendation engine that can provide users with real-time, customized product/service recommendations. The engine will be domain-independent, capable of integrating into various industry-specific demands.
Field of Application: Media
R&D Focus: Recommendation Engine
Doğuş Teknoloji's Contribution: Doğuş Teknoloji will develop the recommendation engine within the Stream-Channel domain.
CAPE - Cognitively Smart Assistant in Phygital Environment
ITEA4 Call 2022 Labelled & 1509 TÜBİTAK International Industry R&D Projects Support Program
Subject: The project aims to enhance multi-channel customer and employee interactions using various technologies to provide a better shopping experience and work environment for customers and employees.
Field of Application: Retail
R&D Focus: Recommendation System
Doğuş Teknoloji's Contribution: Doğuş Teknoloji will develop an AI-based real-time recommendation system capable of providing customers with instant personalized product/service recommendations in the retail sector.
