The innovations like artificial intelligence is making the manufacturing industries more efficient with better performance. AI giving information to managers to have more effective business decisions.

By 2025, the AI market is expecting to grow at a compound annual growth rate (CAGR) of 52%.

Machine automation is making an impact in providing products with high quality in a faster and more efficient way. However, for other companies, it's difficult to share critical data because of sensitivity. There is some level of challenges when it comes to integrating a vast amount of data. To merge systems, they are using a middleware platform "a layer of software that connects the client to back-end systems and 'glues' program together'.

Here are 5 ways that manufacturers can use to boost their productivity

1. More precise demand estimation

Machine automation systems can check the mathematical models of productions to have more precise in their analysis while implementing new data such as introducing new products, disrupting the supply chain, or sudden demand changes. McKinsey found that using machine learning can reduce the inventory of up to 50%. Also, Physical inventory can be more efficient when using AI. Just like how some manufacturing using AI, such as a drone that can finish a task that takes employees one month to do it, can be finished in 1 day.

2. Predictive Maintenance

Predictive Maintenance Solutions can efficiently improve operation. It can monitors the condition of equipment and analysis the data on an ongoing basis, easy to enable service equipment instead of scheduling service times, minimizing downtime. Furthermore, algorithms based on Big Data can be maximized to be used in checking equipment future failures. AI-implementation predictive maintenance can reduce yearly maintenance expenses up to 10%, can reduce 20% downtime, and can reduce 25% in inspection costs.

3. Hyper-personalized manufacturing

The advancements of AI enable businesses to improve how to make their products and services personalization into a higher level. According to Accenture, 83% of consumers in both U.S. and the U.K. are willing to share their data with their trusted retailers to receive products, recommendations, and offers.

4. Improve manufacturing process

There is an expectation by the end of the year that Machines powered by AI engines running machine learning algorithms automation will improve manufacturers to have more efficient processes. It is capable of monitoring the number of used, times, temperatures, lead times, downtime, and errors to reduce production processes. Also, it can be deployed into an "operator replace" mode that will make the operator's decisions based on how the human mind performs. Initially, there will be an "operator assist" mode where AI can suggest an answer to the operator while it's working. In the future, there is a prediction that AI will change the data into intelligence in a vendor-agnostic environment where machines can speak our language for more efficiency.