Purchasing optimization  

Definition 

Purchasing optimization covers the entire optimization process of purchasing or procurement activities within a company, from supplier evaluation to the delivery of goods. In purchasing optimization, the efficiency and effectiveness of the purchasing process is analyzed with the aim of:  

• Save costs 
• Improve the performance of suppliers  
• Increase the added value for the organization 

Through data analysis of purchasing patterns and supplier performance, purchasing optimization will identify opportunities for process improvement, cost reduction, and better supplier relationships. 

Purchasing optimization with artificial intelligence 

The use of artificial intelligence for purchasing optimization can significantly increase the efficiency and effectiveness of the purchasing process. By using AI systems, data is automatically analyzed to optimize the procurement process. 

Machine learning algorithms in particular can support purchasing optimization. These algorithms collect and analyze large amounts of data from various sources to make predictions for purchasing optimization . AI for purchasing optimization can also be used to evaluate supplier performance. 

For example, purchasing optimization with artificial intelligence leads to accelerated decision-making, automated processes, and improved supplier performance. 

Importance of purchasing optimization for the food industry 

In the food industry, purchasing optimization leads to a reduction in costs for purchasing and better availability of goods. Purchasing optimization contributes to improved efficiency and profitability of the company. In particular, food waste can be reduced with the help of AI in retail.