Less planning effort in the bakery thanks to AI forecasts

Production planning in a bakery is one of the most time-consuming tasks in everyday life. Every day, businesses have to decide how many products to bake. Too much production leads to returns and food waste, while too little production means lost revenue.

Many bakeries still plan their production manually. Branch managers or production managers analyze sales figures, take into account the weather, day of the week, or holidays, and then make a decision. This takes time and is often inaccurate. It becomes particularly complicated when a company operates several branches.

More and more businesses are therefore relying on AI-based sales forecasts to make their production planning in the bakery more accurate and faster.

Why production planning takes so much time

Demand for baked goods fluctuates greatly. A few typical examples:

• Weather affects sales of many products
  
  
• Holidays change customer flows
  
  
• Weekdays have different demand
  
  
• Local events change demand
  
  
• Branches develop differently across the different seasons

In order to make good production decisions, all these factors would have to be taken into account. In practice, this is hardly possible on a daily basis.

Many bakeries therefore work with simple rules of thumb:

• "We always sell fewer croissants on Mondays."
  
  
• "When it rains, we sell more bread."
  
  
• "We bake more before holidays."
  

These empirical values are helpful, but often too rough. Planning quickly becomes complex, especially with larger product ranges or multiple stores.

How AI forecasts simplify planning

AI forecasts automatically analyze large amounts of data. In doing so, they identify patterns that are barely visible to the naked eye.

Typical data sources include, for example:

• Historical sales figures for recent years
  
  
• Daily weather forecasts
  
  
• Holidays and school vacations
  
  
• Weekdays and seasonal patterns
  
  
• Branch-specific developments
  

Based on this data, the AI generates a daily sales forecast for each product and location.

For the bakery, this means that instead of making estimates themselves, they receive specific suggestions for production quantities. These forecasts can be fed directly back into the bakery's merchandise management system or POS system, where they appear as order suggestions.

Where exactly time is saved

The greatest time savings are achieved in daily production planning and order planning.

Many companies invest time every day in:

• Analysis of sales figures
  
  
• Discussion about production volumes
  
  
• Adjustment of production lists
  
  
• Follow-up check of returns
  
  

AI-based sales forecasting automates a large part of this work.

Typical procedure:

1. Sales data is automatically evaluated
   
   
2. The AI calculates a demand forecast.
   
   
3. Production quantities are suggested and automatically transferred to order proposals or delivery notes.
   
   
4. The production plan can be adopted directly or adjusted as needed.

Instead of spending a long time analyzing, companies can make decisions more quickly and organize their production planning much more efficiently.

For which bakeries is this particularly worthwhile?

In principle, bakeries of all sizes can benefit from AI forecasts.

The larger a business becomes and the more branches and products need to be planned, the greater the effect of automation. Chain bakeries with multiple locations in particular save a lot of time in their daily planning as a result.

But smaller businesses also benefit. Even better planning of individual products can lead to fewer returns, unlocked sales potential, and a product range that is better tailored to actual demand.

The combination of time savings, fewer returns, and better assortment planning often ensures that the use of AI forecasts quickly pays off.

Conclusion

Production planning in bakeries is becoming increasingly data-driven. AI forecasts help to automatically evaluate this data and derive concrete production proposals from it.

This saves time in everyday life and improves the quality of planning at the same time.

For many businesses, this means less manual planning, fewer returns, better product range decisions, and more focus on the actual craft.