Naslov
Advanced Data Analytics in Logistics Demand Forecasting

Autori
Agatić, Adrijana ; Tijan, Edvard ; Poletan Jugović, Tanja ; Hess, Svjetlana

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
MIPRO 2021 – Proceedings / Koricic, M. ; Skala, K. ; Car, Z. ; Cicin-Sain M. ; Babic, S. ; Sruk, V. ; Skvorc, D. ; Ribaric, S. ; Jerbic, B. ; Gros, S. ; Vrdoljak, B. ; Mauher, M. ; Tijan, E. ; Katulic, T. ; Petrovic, J. ; Grbac, T. G. - Opatija : Hrvatska udruga za informacijsku i komunikacijsku tehnologiju, elektroniku i mikroelektroniku - MIPRO, 2021, 1582-1587

Skup
44th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO 2021)

Mjesto i datum
Opatija, Hrvatska, 27.09.2021. - 01.10.2021

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
logistics demand forecasting ; Advanced Data Analytics ; Big Data ; Artificial Intelligence ; Machine Learning

Sažetak
The logistics demand forecasting is increasingly influenced by digitalization processes in logistics business. Traditional approach to logistics demand forecasting based on human expertise and statistical assessment is still very present, but the use of Big Data, Artificial Intelligence and Machine Learning becomes more prominent. By using these technologies, logistics demand forecasting becomes not only more reliable but also more agile and self-adjusting, with better insight into changing market conditions in the real-time perspective. In this paper, the Authors research the evolution of Data Analytics in logistics demand forecasting. and provide an insight to the features of Big Data, Artificial Intelligence and Machine Learning used for Advanced Data Analytics in logistics demand forecasting.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport, Informacijske i komunikacijske znanosti

POVEZANOST RADA