USING KI FOR DEMAND PLANNING AND FORECASTING

USE YOUR DATA TO MAKE KI WORK FOR YOU

In production and logistics, AI is ideally suited for forecasting demand and stock situations, allowing you to optimize your planning.

Forecasting is thus a clear strength of artificial intelligence, whereby internal, historical data can be optimally combined with external factors.

USE KI FORECASTING FOR DEMAND PLANNING

  • Targeted purchasing of raw material quantities
  • Optimization of stock levels
  • Improving human resources planning
  • Less overproduction, less food waste, lower costs
  • Higher sales due to improved delivery capability
  • Increase in customer satisfaction and loyalty
  • Profit maximization


It is one of the most difficult tasks for bakery product planning or food wholesalers for the catering industry to estimate expectations or calculate exactly how many products have to be delivered to which store on a given day. Many factors play a role here and only when considered in their entirety they can reduce the amount of food that is thrown away and provide customers with the desired goods.

With Artificial Intelligence you have the possibility to adapt your demand planning exactly to the current conditions. The system learns from your historical sales figures. By including current sales figures it becomes more and more accurate. That is machine learning.

In addition, the algorithm can associate your data with seasons, local events or holidays up to nutrition trends and weather forecasts. Artificial Intelligence can then use this information to make precise recommendations for production quantities and components.

This ensures that even on a Saturday afternoon at 17:30, there are still enough baguettes for a barbecue.

Your advantages

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  • Targeted purchasing of raw material quantities
  • Optimization of stock levels
  • Improving human resources planning
  • Less overproduction, less food waste, lower costs
  • Higher sales due to improved delivery capability
  • Increase in customer satisfaction and loyalty
  • Profit maximization


It is one of the most difficult tasks for bakery product planning or food wholesalers for the catering industry to estimate expectations or calculate exactly how many products have to be delivered to which store on a given day. Many factors play a role here and only when considered in their entirety they can reduce the amount of food that is thrown away and provide customers with the desired goods.

With Artificial Intelligence you have the possibility to adapt your demand planning exactly to the current conditions. The system learns from your historical sales figures. By including current sales figures it becomes more and more accurate. That is machine learning.

In addition, the algorithm can associate your data with seasons, local events or holidays up to nutrition trends and weather forecasts. Artificial Intelligence can then use this information to make precise recommendations for production quantities and components.

This ensures that even on a Saturday afternoon at 17:30, there are still enough baguettes for a barbecue.

Your advantages

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  • Targeted purchasing of raw material quantities
  • Optimization of stock levels
  • Improving human resources planning
  • Less overproduction, less food waste, lower costs
  • Higher sales due to improved delivery capability
  • Increase in customer satisfaction and loyalty
  • Profit maximization