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.

Step 1

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.

Step 2

Secondly, DocFlows will extract data from the classified document and transform it into a structured document based upon the Labeling stored in our models.

Step 3

Finally, DocFlows will evaluate the result based on the structured required output. DocFlows calculates line-item integrity, VAT totals, and much more.