Decision-making supported by digital ecosystems has been increasingly studied during recent years, especially due to improved technical capabilities to collect, store, and analyze large amounts of data. The literature recognizes that these systems can reduce response time of managers and enhance a cost-efficient recovery of supply chains. However, there is a lack of methodological frameworks to evaluate the benefits of these platforms. In addition, there is still little understanding of the risks in ocean container transport and their implications for supply chains. This paper proposes and applies a mathematical model for evaluating the impacts of digital platforms, with a focus on solutions to mitigate risks in sea transport operations. The model is based on scenarios and decision tree models to evaluate the impacts of a supply chain digital ecosystem on full containers shipped from Asia to Europe implemented by four companies. Results show monetary savings per scenario in the range from €3448 to €79,242. The most significant savings are expected on unplanned transshipments, cargo damage, export inspections, container detention, and container release.