Berky is a leading supplier of specialized boats used to maintain dikes and to remove coarse debris – such as vines and sticks – from bodies of water. The company has further developed its technology so that the boats can now also clear water ways from plastic waste. Berky’s management knows it holds a powerful solution for one of humanity’s most pressing problems. But Berky’s customers to date have thus far mainly focused on dike boards. What is the stakeholder structure for the potential new business? Which industries are particularly receptive? Who are the best reference customers? Who are the appropriate partners to work with?
Berky uses Neutrum Topic Navigator to look for answers. The tool scours all publicly available articles on the topic of “Plastic Pollution of Water Bodies” in all relevant markets and in the most important languages. Neutrum’s proprietary AI algorithms use refined word embedding techniques to identify the relevant contexts throughout the entire body of the available texts. Within each context, Neutrum Topic Navigator identifies the entities, i.e., the corresponding companies, people and places. Contexts as well as entities are evaluated based on sentiment and activation. This shows which companies and industries are under most pressure to look for a solution for the plastic waste problem and in which context – which NGOs, politicians and activists are particularly engaged in this context. Surprisingly, a completely new issue was discovered at the beginning of the Corona pandemic: the rapidly increasing pollution caused by discarded face masks.
With Neutrum Topic Navigator Berky can now identify and prioritize key use cases and industries. The company’s business development managers design business models and campaigns to attract the most impacted companies in the prioritized sectors as reference customers – and the most relevant NGOs and government agencies as partners. In a short time, strong, publicly visible collaborations have emerged. The market launch has been a success. It has paid off.
German 