Foodforecast uses cutting-edge technologies and data-driven approaches to effectively reduce food waste. Here are the main ways we contribute to this important goal:
Precise demand forecasts: By using artificial intelligence and machine learning, we can make accurate predictions about future demand for food. These forecasts are based on historical data, current trends and external factors such as weather conditions and public holidays. As a result, companies only order the quantities they actually need and avoid overstocking and food waste.
Optimized ordering and production processes: our solutions optimize and automate your ordering and production process. This allows you to identify bottlenecks and excess stock at an early stage and take appropriate action. This leads to a more efficient use of available resources and reduces the amount of food that spoils or remains unused.
Automated ordering: With automated ordering, we ensure that the right quantity of goods is always available. This automation minimizes human error and ensures that orders reflect actual demand.
Data analysis: our interactive analytics platform helps you identify patterns and trends, adjust your assortment and promote products that sell well while reducing slow-moving items. This prevents the accumulation of unsold food that would otherwise have to be disposed of.
Integration of external data sources: we integrate various data sources such as weather forecasts, public holidays and events into our artificial intelligence to increase the accuracy of demand forecasts. This leads to even more precise planning and reduces the risk of surplus stock that needs to be disposed of.
These comprehensive approaches help you to reduce your food waste by up to 30%. This not only protects the environment, but also helps you to save costs and operate more sustainably.
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