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Five Ways AI may be able to impact the complex, fragile, volatile and global Food Value Chain



We are interested in the impact of AI on the supply chain, and more precisely on the Food Value Chain. Here are 5 potential areas where AI can impact businesses and its operations as they look to serve the alimentary needs of the world’s growing population.



  1. Quality control: AI can be used to analyze and classify fruits and vegetables, improving the match between product and processing destination as well as helping reduce food waste.

  2. Supply chain optimization: By analyzing data from across the supply chain, AI can help to identify bottlenecks and inefficiencies, helping to reduce costs, improve delivery times, and ensure that produce is delivered to consumers at peak freshness.

  3. Inventory management: AI can be used to monitor inventory levels and track the movement of produce throughout the supply chain, also helping to reduce waste

  4. Pest and disease management: AI can be used to monitor crops for signs of pests and diseases, allowing farmers to take early action – similar to what Agtools is doing with the Procurement Quality Analyzer.

  5. Predictive analytics and demand forecasting: By analyzing historical data and current trends, AI can help producers and distributors to better predict demand for fruits and vegetables and reduce the mismatch between supply and demand which leads to pricing problems and contributes to the global food waste problem.

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