Impact of ML and AI on the Beverage Industry

Despite the growing trend in the use of emerging technologies in the beverage sector, such as AI, robotics, machine learning, and cognitive computing, there are still some gaps to be filled.

Fremont, CA: Simply stated, AI's goal is to make computers/computer programs intelligent enough to mimic the behavior of the human mind. AI imbues machines with common sense, problem-solving, and analytical thinking abilities, which is a challenging and time-consuming task. Machine Learning (ML) is a subset of Artificial Intelligence.   ML can be used to address difficult problems like detecting credit card fraud, enabling self-driving automobiles, and detecting and recognizing faces. ML employs complicated algorithms that run over enormous data sets indefinitely, analyzing patterns in the data and enabling machines to respond to situations for which they were not expressly intended.

AI and ML can have  a great impact on the beverage industry, like:

Waste reduction and transparency

The waste aspect of the beverage industry is a hotly debated and scrutinized topic. AI is being used to manage every stage of the manufacturing and supply chain process, including tracking expenses, overseeing stock levels, and even tracking countries of origin all over the world's supply networks.

Optimized production

AI and ML could be used to speed up production changeovers, reducing the time it takes to transition from one product to the next and identifying production bottlenecks before they become a problem.

Supply chain management

Artificial intelligence (AI) is the process of programming computers to take data, assess it, make a decision based on the evaluation, and then carry out a task based on the decision. Through logistics, predictive analytics, and transparency, this developing technology assists the beverage industry with Supply Chain Management. AI is being used in the dairy business to increase quality assurance, develop forecasting models, and keep up with consumer trends.

Packaging

Artificial intelligence-driven robotics are proven crucial in addressing the pressing and picking needs to be accelerated by customers' growing e-commerce usage. Because of the process's complexity and increased workload, it has a lot of room for intelligent automation.