Purpose – The purpose of this study is to map the information flow and potential productivity improvements during the transportation planning process of bulky goods.

Method – To answer the study's first research question, observations of the current transport booking process were conducted. This involved shadowing and observing six individuals working in various departments linked to the transport booking process. These observations, coupled with general interviews, provided a comprehensive understanding of their tasks. Quantitative data provided by the case company was also analysed to establish a baseline for the current state. The observations were further analysed to address the second research question. In-depth interviews were conducted with departments closest to the transport division to identify specific challenges in the transport booking process. For the third research question, proposal-based interviews were conducted within the transport planning department. Literature studies, combined with departmental requests, generated suggestions on how to address the identified challenges.

Findings – The study's investigation highlights the complexity of designing the information flow in the transport planning process of bulky goods. Information flows between multiple departments, often several times, either in a pulling or pushing manner. Discovered productivity challenges included manual labour, even with the use of communicating business systems, outdated working methods, and poorly designed information systems. Identified productivity improvements included updating current standardized working methods, system adaptation, and finally, the implementation of new information technology to reduce manual labour. Companies handling the transport planning process must understand the number of resources required for investing in new information logistics and the productivity benefits it brings.

Implications – Companies that handle the transport planning process for bulky goods can apply the study as an evaluation method. Identified challenges in the case company were analyzed for generalization through theories. This allows other companies to use similar methodology for their own identification of productivity solutions.Limitations – The study was limited by a single-case design. To increase the potential, a multiple-case study should be conducted.

Keywords – Bulky goods, Information flow, Information logistics, Information technology,Lean, Productivity improvements, Production.