This study investigates standardization of data acquisition, analysis and integration according to ISO 23247 for real-time visualization and interoperability in manual order picking processes within the automotive industry. This study addresses fragmented and inconsistent production logistics (PL) data and enhances real-time performance visualization by establishing a structured PL information model based on the ISO 23247 framework. The proposed approach integrates manufacturing data such as order, product, and operator data with PL specific elements including transportation, time, and material. This integrated information model ensures consistent, scalable, and reliable information data flow in PL systems. The practical applicability and validity of the proposed information model are demonstrated through a case study on manual order picking, highlighting its ability to integrate PL activities and support synchronized data exchange within dynamic production environments. The findings contribute to the broader goal of digital transformation in production and logistics by addressing key challenges in data consistency, system integration, and real-time monitoring. Furthermore, the standardized information model developed in this study can be extended to other industrial sectors, such as warehouse automation, to improve production and logistics integration through a unified information model.