The Impact of Machine Learning on Growing B2B Businesses – Enterprise Podcast Network

What if you could better understand your customers and what drives them? Machine learning delivers the data small businesses need to better serve other businesses. Current information enables you to meet customer expectations the moment they realize they have a particular pain point and seek a solution.

Machine learning is affecting business-to-business (B2B) operations in profound and lasting ways. You can harness the power of big data to stay ahead of any service you offer.

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How is artificial intelligence used in B2B companies?

The United States Chamber of Commerce discussed the ways machine learning and artificial intelligence (AI) are evolving to help business owners. Around 97% of business leaders Think that the future is like machines and humans working together to improve results. The machines already help with content generation, hiring new employees and customer relations.

What are some of the ways machine learning helps B2B businesses grow?

1. Find great leads

One of the most powerful aspects of machine learning is the ability of computers to figure out who best fits your customer profile. Small B2B businesses may not have the sales staff to chase down every lead that comes their way.

Sorting through all the noise and finding only those companies that are a good fit for what you offer is not easy. However, a machine can provide the data you need to make the best possible guess about who will buy your product or service. Reach out to top leads first and you may have more closing sales.

2. Improve analysis

Big Data analysis provides the opportunity to combine data with AI and machine learning applications You will obtain a better labor optimization, directing your attention to the clients who need it the most. The more accurate your analytics are, the better you can create marketing campaigns to reach your target audience.

It would take months to review all available data on your leads and past sales. With machine learning, you can spit out reports in a matter of seconds and have some predictions on what your next move should be to get the highest possible success rate.

3. Improve sales forecasts

Sales forecasts help B2B companies plan how much money to invest in certain areas in the coming year. Whether you’re spending more money on a particular social media platform, running ads, or running pay-per-click campaigns, you want to make sure you’re getting the most bang for your buck.

You’ll also know if you should hire that new employee or wait because sales aren’t there yet to support another worker. Machine learning gives you the most accurate forecasts possible to help you make the best decisions about big moves in your business.

4. Engage customers

You can use machine learning and AI chatbots to stay in touch with those who visit your site and have questions. Preprogram common responses and let the machine carry on a conversation with those who are only mildly interested in your product. However, if someone shows that they have a greater interest in what you offer, you can always pass them on to a live agent.

Response rates show that adding a chatbot to your website could improve engagement by up to 90%once common questions are identified and plugged into the system.

Detect problems before they arise

Machines can observe patterns. They can catch minor problems before they become big problems. Imagine a competitor offers something you don’t and starts losing customers here and there. Wouldn’t you prefer AI to notify your leaders of losses so you can take action to fix the problem before it affects your bottom line?

There are many ways that machine learning impacts B2B companies. The capabilities of computers should increase in the future, as programmers teach machines to understand how the human brain works.


Eleanor is editor of design magazine. Eleanor was a creative director and occasional blogger at a prominent digital marketing agency before becoming her own boss in 2018. She lives in Philadelphia with her husband and her dog, Bear.

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