AI in "Food & Beverages"
The implementation of AI and ML in food manufacturing and restaurant businesses is already moving the industry to a new level, enabling fewer human errors and less waste; lowering costs for storage and transportation; and creating happier customers, quicker service, voice searching, and more personalized orders.
Business Challenges
Food and beverage industry has undergone a series of changes in the last decade due to the rapidly changing behaviors of consumers, technological advancements and stringent regulations. Such factors have plagued the food and beverage industry with a series of obstacles. The growth of the global AI in food and beverages market is driven by factors such as dynamic changes in buying pattern of consumers who are opting to prefer for food that can be supplied fast, including food that can be available easily and at economical costs.
How can AI help?
Artificial Intelligence uses data obtained from past records by processing it using AI-enabled algorithms, so that the results related to sales can be predicted for a specified time. AI mainly assists the food manufacturers and retailers by helping them to understand their customers better. The companies will be able to identify the customers’ tastes and preferences, which would help them to predict the possible sales pattern for their products. With supply chain continuing to be a major struggle to cope up with in many F&B enterprises, AI can help bring about transparency in the working of enterprises by effectively managing the supply chain.
Use cases
Food Market Analysis: Knowing what dishes are the best choice to include on your restaurant menu is the key to increase revenue. Customer and market demands are changing very fast, so it is even more important to be one step ahead of the competition. AI/Machine Learning uses the Data Collection and Classification methods which understands the human perception of flavor and preferences, dividing users into different demographic groups and modeling their preference behavior or predicting what they want — even before they do.
Production Optimization: AI has huge potential to optimize production and uncover manufacturing facilities’ best operating points to meet and even exceed KPIs. Few of its applications could include faster production changeovers, educing the amount of time needed to switch from one product to another, and identifying production bottlenecks before they become a problem.
Waste Reduction: AI/Machine Learning based approaches to measurement and monitoring can have a huge impact on waste reduction. Rather than waiting until the end of a batch or cycle to check the quality of output, AI that uses real-time monitoring can identify anomalies as soon as they occur.
Supply Chain Management: Algorithms based on Artificial Neural Networks can monitor and check the process of AI food delivery and goods tracking at every step, making it safer and providing transparency. Also, it makes pricing and inventory forecasts, which prevents extra costs.
Hygiene: AI has great potential for the optimization of the hygiene and cleaning tasks that are so critical for Food and Beverage facilities. AI-powered multi-sensor system can detect food residue and microbial debris on equipment in order to determine the optimal length of cleaning time.
Why choose us?
For today’s food manufacturing companies, finding ways to improve operations, make better decisions, and leverage innovative technology is essential to growth and remaining competitive.
We at RadomeTech believe AI is crucial for every business entity. Thus we have a developed a tool which lets the user have the power of Artificial Intelligence and Machine Learning !
