CLG translates legacy product descriptions into easily understood formats. ProcureNet uses pattern recognition to identify attributes and produce standardized values that eliminate duplicate and inconsistent data. This structure improves productivity by letting end-users quickly and easily find the items they're looking for. ProcureNet has over 1.5 million items in our knowledge base including over 200,000 patterns covering more than 35,000 families of goods and services.
Users can easily modify the knowledge base for new values in their own data.
Once the details have been captured in patterns, CLG processes up to 100,000 material descriptions per hour into user-friendly data. As rules are added to the CLG, the data cleansing process becomes more efficient. The data cleansing process combines project management, data analysis, and data rationalization technology to help ProcureNet clients maximize the integrity of their data for use in eCommerce systems. Using ProcureNet s proprietary CLG technology, content is transformed from confusing legacy data to rich information. This cleansed catalog item can now be viewed with rich content descriptions and is fully searchable for easy ordering and procurement.