Enhancing Manufacturing Business with AI

enhancing manufacturing business with AI, artificial intelligence manufacturing tools

Enhancing Manufacturing Business with AI

The manufacturing industry has been faced with an opportunity to shift manufacturing operations. 

The questions:

Should we get on board with Industry 4.0?

How do we do that?

The answers:


Implement artificial intelligence (AI) tools for manufacturers.

Early adoption of AI software and tools will give manufacturing companies a competitive edge. Here’s a look at some of the solutions to enable efficient manufacturing operations and decision making.

Robotic Process Automation Transforming Enterprises: Latest Trends and Insights

Source: business2community.com

Robotic Process Automation is on the top of the list as enterprises look for capabilities to manage regular and repetitive tasks. Almost every process within a workflow can be improved; however, it depends on businesses. Enterprises should start small with RPA and take a more strategic view toward RPA implementation.

Why do businesses need to opt for RPA software?

  1. Data related tasks are time-consuming

Data entry, analysis, transferring, and storage are some of the genuine challenges faced by most of the enterprise. These tasks require time and are tedious. Thus, it creates boredom for human employees, to work on it. Also, for human employees, it’s not always possible to perform error-free tasks.

  1. Issues with the business processes

The ongoing business processes sometimes fail to work well with the new applications. Even after investing so much on the latest technologies, it doesn’t deliver what desired. Ultimately, it’s a waste of time and resources.

  1. High investment but no desired results

Experimentation with technologies demands high investment that, too, there is no immediate change and reduction in expenditure it delivers.

  1. Gathering insights and analytics

The modern-day business environment is complex. Multiple operations and processes run at the same time. So, it’s a hectic task to collect, organize, track, analyze, and report data.

In this scenario, RPA software can perform repetitive tasks, reduce human error and staffing costs while increasing productivity and efficiency.

Enterprise RPA can increase productivity by 20-80% in any process, but the trick lies in making the right strategy to implement it. In 2017, according to Deloitte’s survey of 400 global firms, it was seen that 63% of surveyed organizations said their expected delivery time and 37% said their expectations of cost to implement RPA was not met. However, businesses continue to invest in RPA. And why not, when RPA can benefit the overall workflow, automate tasks, and free up employee time.

So planning a roadmap for RPA at scale is necessary to avoid the silly slip-ups. While strategizing, you must consider some steps which will help you to set a good plan.

  1. Avoid over-analyzing the alternatives instead save that budget on RPA implementation with the best RPA tools.
  2. Though RPA software doesn’t make changes to the existing business operations, however business subject matter experts can contribute to improvement strategy. Both the IT team and business SMEs can help in making the roadmap.
  3. Set aside some budget for ad hoc operation needs.
  4. Automating all processes may not be economical. Carefully observe the workflow and involve your operations team to understand the requirement.
  5. Help employees to know about RPA implementations and how it will help to boost productivity.

Read more.

RPA Software & the Manufacturing Industry

Software-based RPA is gaining more popularity than physical robots in the manufacturing industry. These software programs help with supply chain procedures, general ledger, invoicing, accounts receivable, and other operations.

Real-world examples:

Forbes Marshall, one of the leading process engineering & energy conservation providers, completely automated their taxation work. It saves a lot of time and reconciliations are done effortlessly. However, some processes need a little support. Additionally, they have built a mobile app for their engineers to track and trace workflow on the go.”

Leveraging AI for Smart Manufacturing Decisions

AI gives manufacturing companies access to new levels of information and insights. With so much data, it’s crucial that key decision-makers are able to efficiently analyze the information, see a clear, real-time snapshot of the business, and make informed critical decisions.

Information isn’t useful unless you are able to understand it and use it proactively. Einstein is AI that is integrated into many of the Salesforce platforms allowing manufacturing companies to leverage key data to make business decisions.

Learn more about our 4.0 manufacturing solutions today.