In response to the Great Resignation wave, manufacturers are using conversational AI to fill staffing and skill constraints and drive income.
RPA & Conversational AI: A Natural Tandem in Manufacturing
RPA and Conversational AI work together in concert to ensure your manufacturing organization is running seamlessly and efficiently. They're a natural team.
Today, the manufacturing world is more competitive than it has ever been in the past. If you want to position your company to be successful, you need to focus on improving your operations with conversational AI. While a lot of companies are comfortable with robotic process automation (RPA), it is important to blend these proven processes with conversational AI technology.
Conversational commerce has become more important in the manufacturing industry, and you need to take advantage of these capabilities to stay one step ahead of your competitors. What do you need to know about conversational AI and how can you choose the right solution to meet your needs?
What Is Conversational AI?
Conversational AI is a specific type of artificial intelligence (AI) that makes it easier for consumers to interact with computer applications. The goal is to make consumers feel like they are interacting with another person even when they are interacting with a virtual AI assistant.
Essentially, conversational AI is like a brain that powers a virtual agent. A lot of people are familiar with chatbots, but these aren’t the same. Conversational AI takes the basic chatbot and enhances its capabilities through advanced, self-trained Natural Language Processing (NLP) and Machine Learning (ML). Through these integrations, manufacturing companies can take the benefits and apply conversational AI to their daily operations, as well as basic human interactions.
The goal of conversational AI is to enable automated, efficient communication using either text or speech by looking at the user's intent, deciphering their context, and responding in a manner similar to that of a human being.
Comparing RPA and Conversational AI
There are several differences between RPA and conversational AI to note. Generally, RPA focuses more on rigid, predictable processes. This type of technology is useful when there is no ambiguity about the request. The process is the same every day, and if there is ever a change, the process comes to a halt, a human being intervenes, and then the cycle resumes when the issue is dealt with accordingly.
In contrast to RPA, conversational AI is capable of more complex interactions. Through leveraging natural language processing automation (NLP), conversational AI enables a more flexible environment. The conversational AI program can interpret the user's intent correctly, and provide the appropriate response accordingly. Conversational AI can interpret natural human language, which means that users don't necessarily need to use specific words or select from a few drop-down options.
Using RPA and Conversational AI in Tandem
Even though these two technologies are very different, they can also work together to create a better user experience. For example, the virtual AI assistant can ask for a few commands at the front end of the manufacturing process, or for a chart to be uploaded, or it might request a specific button to be pressed.
Essentially, conversational AI can benefit a manufacturing company because the onus is taken from a human assistant and passed to a digital one instead. This creates a seamless journey and improves service outcomes and user engagement while reducing overhead costs for manufacturing companies.
Once all of the information has been captured, the virtual AI assistant will pass the information to an RPA robot. Then, the RPA robot will perform a few compliance checks to ensure everything is in place before the process begins. The RPA robot will run a safety check with the various machines, make sure all of the gaps have been filled, and then trigger the machines to start the manufacturing process if all of the demands have been met. Clearly, both of these programs can work together to create a swift, seamless manufacturing experience.
Use Cases for Conversational AI
There are several ways that conversational AI can be helpful. They include:
- Conversational Commerce: A virtual AI assistant can handle the ordering process if someone is looking to order a specific product from a manufacturing company. It can take the information from the user, use it to recommend products, and walk the user through the purchase process.
- Order Management: This type of tool is also very beneficial for order management and tracking. If someone wants to know where the order is located, they can interact with a virtual AI assistant, locate the package tracking number, and follow the package from start to finish.
- Inventory and Ordering: A virtual AI assistant can also provide notifications regarding inventory levels. If inventory gets too low, it can ask the user if the company needs to order more. This is just another way that the process can be improved.
The use cases will only expand as conversational AI continues to grow. It will be a very important tool for the future of the manufacturing industry.
Choosing the Right Conversational AI Solution
There are several factors to consider if you are looking for a conversational AI solution, including:
- Self-Learning: A conversational AI assistant will capture information from each interaction and will tailor the responses to meet their commands, and become more accurate with time. That way, the virtual AI assistant improves the more you use it.
- Ease of Use: You must train people on how to use it. Consider who is going to be using the solution, their overall technical abilities, and how long it will take to get comfortable with the solution itself. Fortunately, conversational AI can be trained without coding, making this process much simpler.
- Data Privacy: Your conversational AI solution is going to come into contact with a lot of confidential information. You should always think about data privacy and security before deciding what solution you want.
- Scalability: Your company has the potential to grow if you select the right solution, so you need to ensure your conversational AI solution can grow with the company. That way, you don't have to worry about paying to replace it down the road.
If you think about these factors ahead of time, you can put yourself in the best possible position to find the right solution to meet your needs.
Learn More About Conversational AI From Our Experts
The manufacturing industry is changing quickly, and you need to find a conversational AI solution that can help you reduce overhead expenses and improve efficiency. Let's see how we can help!