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3 Different Ways Artificial Intelligence and Machine Learning are Transforming the Food and Beverage Industry

Dec 11, 2018

With massive transformations in global markets, AI and machine learning have become important assets for companies since they have the power to transform the way companies in the food and beverage industry deliver customer experiences. These technologies offer huge opportunities for companies to revolutionize critical aspects of their business processes. In the food and beverage industry, producers, retailers, and restaurants are rapidly changing their business strategies to incorporate innovative technologies to meet consumer demands, stay ahead of the competition, and provide an enhanced experience. Through the implementation of AI and machine learning technologies, retailers in the food and beverage industry can transform business processes and directly enhance the customer journey. In this article, we have summed up some of the interesting benefits of AI and machine learning that retailers in the food and beverage industry can leverage to improve customer engagement as well as ROI.


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Benefits of AI and Machine Learning in the Food and Beverage Industry

Helps in Tracking Every Move

Growing complexities of supply networks and the need to coordinate the flow of logistics across multiple suppliers results in major challenges when it comes to tracking inventory across the supply chain. Delays in response within the supply chain cause wastage of both time and money, inefficient fleet use, and failing customer expectations for on-time delivery. Additionally, carelessness during transportation can result in damaged goods, leading to dissatisfaction among customers. These challenges call for the need to monitor shipment status as well as the delivery to have a real-time view of the current location of products. An IoT optimized tracking system can improve production and delivery logistics. Moreover, it also results in increased inventory levels, reduced logistics costs, and enhanced on-time delivery rate. This makes it possible for companies in the food and beverage industry to increase customer satisfaction as products are received in fresh condition.

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Assists in Predictive Maintenance

For companies having global operations in the food and beverage industry, cold chain monitoring requires significant investment and poses maintenance challenges. Machine learning and AI adapts the data provided through connected devices for practical applications. This facilitates retailers to adjust and monitor average ambient temperatures, which ensures that consumers receive satisfactory food and beverages. Additionally, with the massive volume of data generated by IoT devices, there is a huge opportunity for continuous machine learning to convert this data into assets. With this data, retailers can establish a plan for predictive maintenance in advance for asset failures. By augmenting equipment uptime and ensuring consistent temperatures, machine learning technology makes it possible for companies in the food and beverage industry to deliver premium quality and full shelf-life products to their customers.

Limits Food Wastage

Companies in the food and beverage industry need to manage coolers, freezers, and other refrigeration units in their stores. These appliances need to be monitored to minimize or eliminate the loss of revenues due to product expiration or spoilage. Machine learning and AI platforms have also helped food and beverage retailers to automate inventory management. With this technology, warehouses and store managers can automatically be notified to organize or restock the shelves properly to meet customers’ demands.

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