IMPROVEMENT OF WAREHOUSE PROCESSES WITH DIGITALIZATION SOLUTIONS USING THE EXAMPLE OF UAB "X"

Abstract

Companies providing warehousing services are constantly searching for solutions to optimize warehouse operations, save time, and improve their economic performance. As a result, businesses face not only internal challenges but also external factors such as the increasing use of artificial intelligence (AI), the impact of digitalization, evolving customer expectations, and intensifying competition. These challenges raise a fundamental question: What digitalization solutions can be applied to warehouse operations to enhance efficiency, streamline processes, and gain a competitive edge while maximizing economic benefits? The objective of this study is to identify the challenges in UAB "X" warehouse processes and propose potential digitalization solutions. The research focuses on improving warehouse operations through digital technologies. The applied research methods include scientific literature analysis and synthesis, surveys, observation, and graphical data representation. The study findings indicate that the primary issues in warehouse process management at UAB "X" include prolonged receiving operations, an inefficient order verification method, underutilization of storage space, and a lack of advanced digitalization solutions. To address these challenges, the study proposes several digitalization solutions for warehouse process improvement: Integrating AI into the warehouse management system to replace manual order verification from waybills with automated product scanning, ensuring 100% order fulfillment accuracy. Additionally, AI could be used to predict workload distribution for warehouse employees based on available data. Implementing the PROCAN system to digitalize and track every employee's operations related to customer service, ensuring greater transparency and efficiency in warehouse processes.