The concept of biointelligence has recently emerged as a convergence of biology, engineering and information technology. The use of biointelligent systems in decentralized, small-scale production units, designed for non-professionals, using local biological resources and involving different actors, constitute biointelligent value creation systems (BVC). The effective operation of BVCs requires an information system and the underlying system, namely information logistics, capable of providing the right information to the right actor at the right time and in the right quality. However, the inherent complexity of management, due among other things to biological components in the system and heterogeneous participants - including industrial and non-industrial actors - poses significant challenges to existing information systems. This paper addresses this gap by analyzing 19 expert interviews from industry and academia. It identifies key challenges such as a lack of semantic interoperability and unclear data ownership, as well as requirements for scalable, role-specific and adaptive information logistics systems. The findings provide actionable insights into how future information systems can be designed to support complex and dynamic BVC environments, including the importance of transparent governance structures and user-centered dashboards that address diverse stakeholder needs.