AI in Food Supply Chain 

The food supply chain network comprises of series of complicated processes and stages. They range from harvesting crops in the fields and farms to picking, packing, and delivering them to the doorsteps of customers. The integration of AI has brought revolutionary changes in the food industry and its supply chain network. Today, we’ll discuss AI in food supply chain management; and its top uses of AI in food SCM.

Uses of AI in Food Supply Chain Management 

Let’s discuss the top uses of AI in food supply chain management; they’re as follows;

Pest & Disease Management with AI Assistance

Food crops are vulnerable to pests and other diseases; they significantly impact their growth and productivity. Artificial intelligence would help you to identify crop diseases and pest infections in the early stages. The AI system has the capability to recognize the symptoms of pest diseases and infections by analyzing historical data, patterns, and satellite imagery. It notifies farmers to take precautionary measures on time to protect their crops.

Limited Waste

One of the main problems in the food SCM process is waste. AI plays a key role in decreasing food waste by optimizing inventory and improving demand forecasting capabilities. The AI system promotes a sustainable food system and decreases waste by taking precautionary measures and recognizing potential waste elements.

Sustainable Farming

Environmental sustainability is the trending concern in the food SCM. The AI system helps and allows farmers to decrease the negative environmental impact by executing sustainable strategies and optimizing resources. The AI technology has the capability to help you in the following ways;

  • Resilient agriculture ecosystem
  • Promoting sustainability
  • Regenerative farming strategies
  • Decreasing chemical usage
  • Optimizing energy and water consumption

Personalized Nutrition

AI technology has the capacity to develop personalized and customized nutrition required by customers. it offers personalized recommendations by analyzing genetic information, dietary preferences, and the health of a person. Resultantly, it helps people to make better and more informed choices by following a healthy lifestyle.

Customer Choice

It is significant for businesses and companies to stay ahead of trends; because the customer market trends are always changing. The AI system would analyze the vast amount of customer information and data from various sources; buying patterns, online reviews, and social media platforms. It offers you a key insight into the preferences of customers. This information would help businesses and companies to develop customized marketing strategies; delivering better customer experience, and the right products for customers.

Safe Food

The AI system ensures food safety throughout the SCM network and process. It analyzes the vast amount of information and data to recognize potential risk patterns in foodborne illnesses. The AI technology would help you in the following ways;

  • Decreasing the probability of spreading crop diseases
  • Launching targeted inspections
  • Early recalls
  • Taking precautionary measures

Quality Control

The focus of the food SC network is to ensure sure safety and quality of food. The AI system would employ sensor systems and computer vision technology to launch traceability and quality control in real-time. It allows you to recognize deviation from quality standards, containments, and defective products by analyzing visual sensor data.

Efficient Distribution

Optimized logistics and distribution network would ensure safe and cost-effective food delivery to the doorsteps of customers. The AI system would decrease delays and disruptions, and track shipment in real-time with optimized routes. AI technology in logistics helps you in the following ways;

  • Improving overall SC agility
  • Limited fuel consumption
  • Decreasing the delivery time

Packaging & Food Processing

AI systems and computer vision technology would analyze the quality of food items and make sure that only the top-quality food items would reach customers. The automation technology and AI robots would perform complicated tasks and help in the following ways;

  • Increasing efficiency
  • Lower labor cost
  • Precision and speed
  • Packaging
  • Grading
  • Sorting and organizing

Inventory Management

Inventory management plays a critical role in the food supply chain management. The AI system helps businesses and companies improve their inventory system by employing demand forecasting tools and predictive analysis. However, it allows you to avoid the excessive stock of goods, and shortage, and decrease inventory waste.

AI-Based SCM

Uses of AI in supply chain management bring operational efficiency by streamlining various processes. AI systems and machine learning technology would help you to predict customer demand and decrease inventory levels and waste. It helps you in the following ways;

  • Amplifying overall SC performance
  • Decreasing human errors
  • Automating scheduling, routing, order processing

Harvesting Crops

The AI system analyzes the vast amount of information and data to recognize trends and patterns and improve the quality and productivity of crops. It predicts and forecasts deficiency of nutrients, planting time, and symptoms of diseases. However, it allows farmers to take precautionary measures and improve quality.

Conclusion: AI in Food Supply Chain Management 

After an in-depth study of AI in food supply chain management; we have realized that AI plays a key role in the efficient food SCM. If you are learning about the uses of AI in food SCM, then you should keep in mind the abovementioned elements.

References 

  1. https://www.fooddive.com/news/how-ai-is-driving-supply-chain-advancements-food-beverage-manufacturers/688340/
  2. https://www.foodmanufacturing.com/supply-chain/article/22873086/the-top-5-benefits-of-ai-for-food-manufacturing
  3. https://www.linkedin.com/pulse/how-ai-transforming-food-supply-chain-boosting-profits-streamlining
  4. https://brizodata.com/en/how-ai-transforming-food-supply-chain-sector/
  5. https://agfundernews.com/bytes-to-bites-part-two-from-farm-to-fork-leveraging-ai-in-the-food-supply-chain
  6. https://www.linkedin.com/pulse/from-field-fork-how-ai-transforming-food-supply-chain-jayprakash-shet
  7. https://www.sciencedirect.com/science/article/pii/S1877050921018111
  8. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137586/
  9. https://foodtank.com/news/2017/11/artificial-intelligence-part1/