6 tips on using AI to simplify workflow and increase productivity

March 07, 2022

Tips on using AI to simplify workflow and increase productivity

Artificial intelligence (AI) has often been deemed a buzzword for businesses. There is a lot of talk going around, but only a few businesses make true use of it. Less than 15% of leading companies use it in their operations. Part of the reason is that most teams do not know what to do with such advanced capabilities.

Today we will try to help you integrate AI with your workflow seamlessly for increased output and productivity. By implementing these ideas, you can experience the true impact of AI on your workflow.  

6 tips to use AI to simplify workflow

The areas we will focus on include workforce management, marketing, customer experience, and automation. You can use AI in all these spaces to be more productive and save resources. 

Automate repetitive tasks

To run any organization, there has to be a team dedicated to repetitive tasks. These can be anything from taking notes from a meeting to keeping a track of the workforce. While these tasks are important, they do not require innovation or human insight. 

One of the simplest things that any business can do is automate these tasks. Let’s understand it with an example. In the wake of a global pandemic, organizations are more alert than ever about employee health. 

If you have dedicated team members recording and tracking employee health, like checking their temperature every day, you can easily let an app or tool do that instead. 

Employees can self-monitor their health and feed the data into an app or software. From there, you can easily keep a track of every employee without the need for a manual intermediary. AI-based tools will also tell you when there are increased risks or threats. It is one of the many ways in which AI can simplify workflow for any company.

Using chatbots for customer support

Much has been said about the efficiency of chatbots. 67% of consumers worldwide have interacted with chatbots in 2021 alone. As we move further into the decade, the use of chatbots will only increase. Chatbots work so well because customers usually have a good experience with them. They answer the most relevant questions quickly and are not prone to human biases and errors. 

Unlike a human customer support team, chatbots do not require downtime. They can keep performing round the clock with the same degree of efficiency. Chatbots provide the most impactful use case of AI in businesses as of now. In the future, the impact will be even greater.

AI for market research

Market research involves millions of people and a massive amount of data. As everyone knows, machines are almost always better than humans in processing huge datasets. With the advent of machine learning, data interpretation has become faster and more accurate than ever. 

If you are not using AI-based tools for market research in 2022, you are missing out on a lot of potential revenue. All digital marketers are familiar with social media analytics and search engine analytics. The results we see in these tools are fine examples of AI in work for market research. 

Once you have the relevant demographic information, you can make impactful changes in your marketing and manufacturing strategies. Small businesses with limited resources can benefit significantly from conducting market research through AI-based tools. AI for small businesses makes the most of limited resources while maximizing output. If you run a small business, it is time to integrate AI into market research among other things.

Targeted social media marketing

Marketed research and targeted advertisement are directly connected. The data you get from market research gives you the foundation for target marketing. Major platforms like Google and Facebook already provide the groundwork for targeted advertisement. If you want to do it at a macro scale, using AI-based advertising tools is a must.

Targeted advertisement has many components. Identifying the consumer and creating a customer persona are the first steps, and AI can make results more accurate even here. Beyond that, AI is extensively used in social media marketing to identify trends, needs, and demands.

The present scenario of social media marketing is not thinkable without AI and machine learning. Whenever you rely on social media marketing, you are indirectly relying on AI to deliver results. It is one of the most widespread use cases of AI in business.

Forecast demands

Forecasting demands is always a slippery slope for businesses. For example, no one could have predicted the massive increase in demand for masks and sanitizers in 2019. While AI may not be spot on each time, it is much more accurate than humans in forecasting demands.

Gut instinct plays a key role in demand forecasting, and it is also a part of entrepreneurship folklore. In the 21st century, it is better to leave such complex calculations to machines that can do it much better. Correct demand forecasting can be the difference between a thriving and a failing business.

Workforce management

Unless you are a solopreneur, you would have a team to manage. The better you manage your team, the higher the productivity. However, it is very difficult for one person to manage a team. It takes away time, resources, and the will to solve more complex problems. AI-based tools play a very important role in this area. 

You can automate every aspect of employee management through AI — be it attendance tracking, leave management, payroll management, complaint management, and so on.  Once you start using AI to automate these tasks, you won’t go back to the old ways. The amount of time and money you will save will be reason enough to stick to AI-based tools.

Conclusion

When used in the proper area and with expertise, AI can be a gamechanger for businesses of any size. If you want to experience the benefits first-hand, you need to invest time and resources in AI. Over time, the tech will pay you back in multiples.

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