Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 05:31:18am America, Santiago
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Daily Overview |
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61A: Nanostores Location: Room 01: Oceania | |
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8:48am - 9:00am
Influence of Machine Learning and Smart Warehousing in the Global Logistics Sector: A Systematic Review 1: Universidad Privada del Norte - (PE); 2: Universidad Tecnológica del Perú UTP - (PE), España This systematic review examined the influence of machine learning (ML) and smart warehousing (SW) on the global logistics sector through the analysis of literature published between 2022 and 2025, following PRISMA guidelines and the PICOC framewor k. A tota l of 40 peer- reviewed articles indexed in EBSCO, PROQUEST, REDALYC, ScienceDirect, Scopus, and Web of Science were analyzed. The findings indicate that ML enhances predictive processes such as demand forecasting and route planning, while SW transforms ph ys ical operations through automation and Internet of Things (IoT) integration. The synergy between both technologies leads to substa ntial improvements in operational efficiency, including cost reductions ranging from 15% to 25% and accuracy levels exceeding 99.5%. However, their implementation faces significant barriers, including high investment requirements, a shortage of specialized talent, an d technological integration challenges— particularly for SMEs and in developing regions, especially in Latin America . The study concludes that the strategic adoption of ML and SW is essential for logistics digital transformation. | |