Research background and purpose:
In the face of dynamic changes in the market and growing competition, manufacturing companies are faced with the need to continuously improve their internal processes using intralogistics. There is a need to explore how intralogistics solutions can become a key factor in the development of manufacturing companies. In this context, the aim is to examine what manufacturing companies are guided by when making decisions to invest in selected intralogistics solutions – logistic train and/or automated guided vehicles (AGVs).

Design/methodology/approach:
The study used a literature review and a quantitative research method. It was conducted by means of a survey addressed to the management of 31 manufacturing companies located in Poland, which use intralogistics solutions in the form of a logistics train and/or automated guided vehicles (AGVs) in their operations (targeted selection).

Findings:
The study found that the use of intralogistics systems in the area of transport is associated with the introduction of many changes, contributing to the improvement of logistics processes, increasing the flexibility and efficiency of the resources used. The actions taken in this area affect the overall improvement of the functioning of the organization, enabling the achievement of strategic and operational effects. Enterprises become more competitive through the use of these solutions. Companies that invest in intralogistics optimization gain a competitive advantage by reducing costs, shortening lead times and increasing production flexibility.

Value added and limitations:
The publication of research results is valuable material for future activities in the implementation of intralogistics solutions. Organizations face great opportunities, but at the same time challenges, related to the automation of internal processes and taking into account the requirements related to sustainable development. Moreover, we point out the need to conduct further research in this area, which may constitute valuable material for future decision-making processes.