Development Project
The DEVELOPMENT project aims to provide solutions that face challenges at a national, European and global level, through the development of an innovative dynamic demand forecasting system using machine-learning algorithms, quantifying at the same time the added value of dynamic demand forecasts in the cost of supply chains through the use of appropriate operations-management algorithms, in order to enhance the efficiency of the supply chains of small and medium-sized and large enterprises, focusing on the implementation of a service that will be possible to use without large investment costs from the media.
Τhe project was carried out as part of the project «DEVELOPMENT» (Project code: ΚΜΡ6-0078774) under the framework of the Action «Investment Plans of Innovation» of the Program «Central Macedonia 2021-2027», that is co-funded by the European Union and Greece
DOTSOFT SA: Innovative System for Dynamic Demand Forecasting in Logistics and E-Commerce Businesses
New horizons in supply chain management and significant opportunities for business partnerships are emerging through a new, innovative system being developed by DOTSOFT SA, in collaboration with the National Centre for Research & Technology Development (CERTH).
The Future Of Logistics Management Starts Here: Tools And Strategies For The New Digital Era, Presented By The IMET Summer School In Thessaloniki
Dr. Despina-Elisavet Filippidou, Head of the Innovation Starhub at DOTSOFT, participated as a speaker at the Summer School organized by IMET from July 1 to 5, 2024. She presented the “Development” project in a talk titled: “Optimal Warehouse Management and Automation: Tools and Strategies for the Digital Era.”
Advancing Technological Progress: Innovative Solutions For A Smart And Sustainable Business Environment Showcased At Beyond 2024!
The DEVELOPMENT project once again participated in the BEYOND 2024 exhibition, held from April 25-27. BEYOND, showcasing technologies from artificial intelligence to virtual reality, serves as a powerful hub for networking and knowledge exchange
Quantification of the Dynamic Forecasting Process
Leveraging data and methodologies for accurate estimation of future demand.
Primary Historical Product Demand Data
Analysis and utilization of real sales data to improve forecasting accuracy.
Dynamic Forecasts through the Implementation of Advanced Machine Learning Algorithms
Applying artificial intelligence for continuous adaptation and high-precision demand predictions.
