Zevij-Necomij is a purchasing organization for the technical wholesale trade and the hardware trade. With a turnover of €555 million, Zevij-Necomij is one of the largest purchasing organizations in the industry.
Zevij-Necomij uses DocFlows to further digitize the supply chain. DocFlows relies on Machine Learning technology and custom built-in logic. Every step of the process is governed by confidence scores. DocFlows selects the candidate with the highest score and learns from that process.
First, an incoming document is Classified. During this step, DocFlows uses its built-in Machine Learning algorithms to determine Sender and Receiver. For new Senders, DocFlows requires 5 to 10 similar documents to train its models.
Secondly, DocFlows will extract data from the classified document and transform it into a structured document based upon the Labeling stored in our models.
Finally, DocFlows will evaluate the result based on the structured required output. DocFlows calculates line-item integrity, VAT totals, and much more.