Traditional category management is difficult to implement, cause today's markets and companies are highly dynamic. Whether E-CLASS, UNSPSC or own categories ... rigid structures are inflexible. Let's assume, that there is "perfect Order" in your ERP system. How long does it take, before this order turns into disorder, when hundreds of people manually assign items to categories? We know the answer. But category management is strategically important for companies! A dilemma. The AI-based ACM - Adaptive Category Management is the solution.

Wouldn't it be wonderful, if items knew independently, to which category they belonged? If no rigid structures had to be filled, but the categories formed independently - depending on the "view" to the items. A procurement department (Market view) has different criteria for the grouping of items than a management. The product development, on the other Hand, looks at items from a technical point of view. But how do we move from traditional category management to adaptive and automated category management? We recommend a 4-phase model:

• Recording of the current situation and development of the concept (target)
• GET CLEAN - clean and optimize existing categories using algorithms (see CLASSifizer Software)
• Proof of concept of ACM - Adaptive Category Management based on 2-3 selected categories (optimization of algorithms)
• Phased implementation of ACM - Adaptive Category Management and STAY CLEAN

Of course, the characteristics of category management vary from company to company. Accordingly, a different processmodel must be selected. Automated category management is impressive in any case. Talk to us - we will kindly answer your questions.