Machine Learning to the Rescue

Machine learning is an analytical process where systems can detect and apply patterns. In short, artificial intelligence systems (AIs) can teach themselves.

There are many benefits to this. Automated algorithms that can analyse and discover patterns from vast amounts of data are an immense help to businesses. Rather than focusing on manually finding patterns and making decisions, a business can concentrate on other areas.

Machine learning and your business

As mentioned, machine learning can greatly support a business. There are several areas where it can affect an organisations’ future. That is why as a business, you should consider adopting the practice. The following are just a few examples of how this can help you.

• Replace manual with automated
• Observing consumer needs and market trends
• Increased customer satisfaction
• Better cybersecurity

Replacing manual with automation

In this day and age, manual processes can’t effectively help a business. With machine learning, you can significantly reduce the time it takes to analyse and process data. With it, you can automate regular procedure such as auditing or monitoring security feeds. Doing so means that your team has more time to focus on other projects. Manually processing data can also lead to inaccuracies. With machine learning, you can avoid these errors as well.

Observing consumer needs and market trends

Getting to know your customer as well as the market is easier with machine learning. The algorithms can process data more accurately. Thus, you get access to vital information more efficiently. For instance, by processing the data on a website, an automated system will point out the likelihood of visitors converting into customers. It can also point out which products or services draw the most attention, and predict customer needs and expectations.

Companies gather data from internet searches, social media and other sources. Via machine learning, a company can then analyse the trends in a market more conveniently. With better insights, companies can then invest their money better when marketing their products or services.

Increasing customer satisfaction with machine learning

This is a more effective way to get to know your market and target audience. As a result, you can also improve customer satisfaction and loyalty. Due to better insight, it will be easier to offer ‘related products’ to your customers. The system simply has to analyse customer behaviour and requirements.

Better cybersecurity

Cybersecurity is one of the areas where this can help you. With machine learning, you can increase your security, since algorithms and quickly detect threats. As the volume of data increases, it is easier to develop better solutions

Machine learning and social media

The presence of machine learning is felt in various sectors and industries. Social media, too, is no stranger to it. Unlike most platforms, social media has grown exponentially in just a few years. The platform contains a vast amount of information: individual preferences, activities, desires, political affiliations and even relationship status.

For businesses, social media platforms are a mine for information. With the data collected from it, a company can understand its target customer better. However, promoting your company with social media is not as easy as it used to be.

Social media algorithms always evolve. With these changes, the traffic to your platform also change. And you can’t just sit back and relax. Social media marketing takes effort. You have to create engaging content, have a strong customer support system and be on top of current social media trends.

You can use machine learning to improve your social feeds. Here are areas where it can be useful.

Image recognition

Machine learning can be helpful for image recognition in social media. You can programme the software to recognise brand logos, product photos and any other image you want. Oftentimes, these images are not accompanied by text. For instance, a customer may upload your product without mentioning the company or brand. They may even accompany the photo with an inquiry. If a company can notice such a post, it is easy to send personalised advertisements or even just a thank you. When you built a rapport with the customer, customer satisfaction and loyalty can also increase.

Moreover, if a customer posts images of your product, they are also promoting the brand.

Chatbots

Chatbots mimic a real conversation. For companies, using chatbots mean automating customer services. Unless the customer requests human assistance, the company can remove human intervention. Chatbots can be used anywhere, whether it’s a website like an online shopping store or even on social medial platforms like Facebook or Twitter.

These bots can provide answers to inquiries your customer may have. The automated systems are available 24/7, so the customer does not have to wait for assistance. You can even programme the system to offer promotions or deals and discounts to customers.

Monitoring social media

With social media monitoring, you can keep an eye on how your page performs. The tools analyse the number of likes and comments, views received by videos and even how many visitors go to a webpage through a link. These insights can help you to improve the quality of your posts.

It also gives you a better idea of your target market. What they like and prefer, when they are active, and even which age groups they fall into can all be easily processed using machine learning.

To get the best out of machine learning and drive social media traffic, contact us at Siprea