To that end, we have developed a system that classifies and standardizes individual parts, part families, or components as well as the suppliers' manufacturing competencies. This lets us know which part can be manufactured on which machine. With each submitted quote and each new drawing part, our algorithm learns which companies go well together and enables ideal partnerships.
Our intelligent algorithm extracts the following from a buyer's needs at the individual part level:
- Material
- Component geometry and
- the requested quantities.
Using this information, the system can detect the machines that can manufacture what the buyer needs. This data is used to generate a shortlist of suppliers that are able to meet the technical requirements of the buyer's need.
In the next step, an analysis is conducted to determine how many similar parts the suppliers in question have already manufactured. This analysis' data is based on the parts library in the manufacturing company's profile. Suppliers with many similar parts are displayed with priority in the shortlist.
Another sorting criterion is the classification of the manufacturing companies' historic readiness to provide a quote. Suppliers that have previously submitted quotes for similar parts thereby prove their production competency.
To provide buyers with as detailed of an overview of potential partners' competencies as possible, the individual components of supplier profiles undergo review. Profiles with more in-depth information are ranked higher on the shortlist.
