The use of artificial intelligence in logistics information systems

Artificial intelligence (AI) plays a huge role in today’s businesses and continues to adapt to changes in the market. Its use in the logistics industry is gradually increasing. AI brings with it many opportunities, but also risks. The aim of this article is to assess the use of artificial intelligence in logistics information systems. The research problem was formulated: to what extent do companies use AI in logistics information systems. The research gap concerns the use of AI in warehouse management through the WMS module, enterprise logistics through the use of ERP AI and SCM. Evaluating the implementation of AI and integrating logistics with WMS, ERP, SCM with AI can bring significant benefits to businesses, including increased productivity, better decision-making and improved competitiveness. However, implementing these technologies requires careful planning, coordination and attention to detail, such as integration complexity, data quality, resistance to change, security and privacy concerns, cost and skills shortages.

Authors

Institutions

Publication Details

Journal
Procedia Computer Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.procs.2025.09.647
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The use of artificial intelligence in logistics information systems

Joanna Dyczkowska, Marcin Olkiewicz, Tomasz Królikowski
Procedia Computer Science
Big Data and Business Intelligence
article

The use of artificial intelligence in logistics information systems

Joanna Dyczkowska, Marcin Olkiewicz, Tomasz Królikowski
article en

Abstract

Artificial intelligence (AI) plays a huge role in today’s businesses and continues to adapt to changes in the market. Its use in the logistics industry is gradually increasing. AI brings with it many opportunities, but also risks. The aim of this article is to assess the use of artificial intelligence in logistics information systems. The research problem was formulated: to what extent do companies use AI in logistics information systems. The research gap concerns the use of AI in warehouse management through the WMS module, enterprise logistics through the use of ERP AI and SCM. Evaluating the implementation of AI and integrating logistics with WMS, ERP, SCM with AI can bring significant benefits to businesses, including increased productivity, better decision-making and improved competitiveness. However, implementing these technologies requires careful planning, coordination and attention to detail, such as integration complexity, data quality, resistance to change, security and privacy concerns, cost and skills shortages.

Procedia Computer ScienceVol. 270
Koszalin University of Technology (PL)
Openalex Percentile: Top 48%
Big Data and Business Intelligence
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.