AI for Blog Writing

It’s always been a mystery to me how some companies rank highly on Google search, and others, well nowhere to be found. I always expected it to be tied to money invested in paid-ads or other factors. Then I learned what artificial intelligence is doing for blog writers – or “to” blog writers, however you want to look at it. Below is the ScaleX blog post of the week, written by a bot, and optimized for search engines to find. #MindBlown

Artificial Intelligence For Sales

In some organizations, AI (also known as machine learning) takes time – complicated tasks such as connecting leads, tracking and maintaining relationships, the researchers said. AI technology can automate many of the most complex, time-consuming, and costly sales tasks, from gathering customer information to identifying needs, processing sales, accepting product orders, and preparing contracts. According to a recent study by the University of California, San Diego School of Business, sales teams that have used artificial intelligence have increased their leadership positions by about 50%.

The McKinsey researchers found that AI-enabled sellers spend 40% less time on these activities. In the past, marketers and companies have shown that they know in advance what customers want in the near future.
According to the McKinsey study, artificial intelligence can help predict customer demand based on trends and buying patterns and drive marketing prophecies.

Artificial intelligence for B2B sales marketing is undoubtedly in the future and is becoming increasingly visible. By providing suggestions and integrating future customer requirements into their campaigns, it can help to increase the effectiveness of marketing. Brand marketing specialists can leverage the concrete results of AI to empower sales and marketing teams to conduct pre-sales research to find out what customers are likely to want.

Practical use cases suggest that artificial intelligence and machine learning can help manage the wild flow of data for businesses to build real-time forecasting models and effectively communicate with customers while gaining a competitive advantage.
The time is not far away when we see something similar in practice in the B2B sector, where a fusion of artificial intelligence and marketing is seen as something like a similar practice. Marketers can seize new opportunities by using artificial intelligence to be great storytellers. AI is pushing the boundaries of creativity to create interactive user experiences that will ultimately boost companies’ revenues.

Chatbots or digital voice assistants are conversation machines that combine powerful AI to deliver a seamless user experience using temporary data from Google, Amazon and Facebook.

Creating predictive analytical models using active machine learning, as QuanticMind does, can help traders run their trades more efficiently by proactively capturing their customers “pulses and increasing retention rates. Machine learning is expanding into improving digital advertising and data organizations by developing far more accurate prediction models that target the most relevant keywords, much like salespeople do their day-to-day business. New tools, including those that incorporate advanced analysis tools such as those used by Urban Airship and Microsoft Azure, are transforming the way marketing and sales work, just as they do in the real world.

As for how AI is revolutionizing business processes (B2B), its biggest advantages are mundane. It helps sellers manage their time better, and in some cases even better than their human counterparts.

Instead of spending time back and forth between messages to gauge an interested party’s interest, the AI software usually does mundane and repetitive tasks for you. AI-assisted assistants help sellers work smarter, whether in the form of more precise and accurate sales calls, better customer service, or the ability to focus on leads that are really interested and therefore more likely to convert. Underlying all this power is the ability to extract and analyze huge amounts of data almost instantaneously.
There is no doubt that sales will continue to be about building human relationships, but it is also about more than just the sales process.

Artificial intelligence (AI) and machine learning are not only the wave of the future for large corporations, they will also change the landscape of small businesses forever. As AI technology automates the first steps of connecting and contacting leads, the way this is achieved will change dramatically.

Indeed, according to Gartner, artificial intelligence can help improve lead conversion and opportunity rates. By 2020, 30% of B2B companies will use artificial intelligence to expand their leads, which may lead to more conversions.
Companies are investing in AI solutions to increase operational efficiency and provide an improved customer experience. The technology is ideal for companies that want to manage tedious tasks, use large amounts of data to make better business decisions, and much more.

There are a number of applications that can streamline the sales process, help sales representatives perform better and make smarter decisions. We spend a lot of time analyzing lead information to identify potential customers, but they have no idea which leads are likely to transform and which are not.

We have also developed a number of tools to predict how a customer’s interest in a particular product or service, or even a specific product category, will evolve over time, such as a product’s marketing strategy.
The use of artificial intelligence to collect data and algorithms to predict customer behavior can be a valuable asset. Vendors often spend a lot of time manually analyzing the big data they collect, but by using AI algorithms, sales teams can focus on boosting conversions by analyzing the AI for incoming leads, monitoring orders, and identifying the most promising ones. If you can use these insights to your sales advantage and use your digital assistant without doing the work you don’t want to do, you increase sales performance.


Sales teams that have adopted AI have increased leads and appointments by about 50 %, according to McKinsey research in the Harvard Business Review.

In those organizations, AI ( aka Machine Learning ) has taken on the time – consuming tasks of connecting with leads, qualifying, following up and sustaining the relationship, researchers said.

AI technology can automate many sales activities – such as gathering customer information to determine needs, processing sales, taking product orders and preparing contracts.
AI – enabled salespeople spend 40 % less time on those activities, McKinsey researchers found.

Earlier, marketers and companies had showed interest in knowing in advance what customers would want in nearest future.

Artificial Intelligence can drive marketing prophesy and help predict the customer demand based on trends and purchase patterns.

Brand marketing specialists can get tremendous kick from AI’s concrete results, enabling sales and marketing teams to perform well in their pre – sales phase as they get to know what customers are likely to want.

Through informed suggestions, artificial intelligence in B2B marketing can help boost marketing effectiveness, weaving future requirements of customers in their campaigns.

Undoubtedly, artificial intelligence in B2B sales and marketing is the future growing visible to all of us.

All the practical use cases suggest that AI and machine learning can help manage the wild flow of data for businesses to create real – time predictive models and effectively engage with customers while simultaneously gaining competitive advantage.
Marketers will harvest new opportunities by using artificial intelligence in B2B sales and marketing by being a great storyteller.

AI will push the boundaries of creativity, crafting interactive user experience that will ultimately boost business revenue.

The time isn’t far where we see something similar in practice within the B2B space with the amalgamation of Artificial Intelligence in marketing.

Chatbots and Voice Assistants : Chatbots and digital voice assistants are quintessential examples of conversational computing combined with powerful AI to drive seamless user experience using transient data like Google, Amazon and Facebook.

Making a predictive analytics model derived with the help of active machine learning, as done by Urban Airship and Microsoft Azure, will help merchants run their commerce more efficiently by proactively sensing the customer pulse and boosting retention rate.

Natural Language Processing : Machine learning can be further expanded with natural language processing to enhance digital advertising and data organization as well as build far more accurate predictive models that work on most relevant keywords as done by QuanticMind.

New tools, including ones that incorporate artificial intelligence ( AI ) — mostly machine learning and natural language processing — are changing the ways in which salespeople do their day – to – day jobs.
For all the talk about how AI is revolutionizing the business – to – business ( B2B ) sales process, its biggest advantage is more mundane : It is helping salespeople better manage their time.
Its power lies in its ability to extract, parse and analyze massive amounts of data almost instantly.

Rather than spending time on back – and – forth messages to determine a prospect’s level of interest, AI software can take care of this usually mundane and repetitive task.
Whether this is due to lack of time, sales resources, or a combination of the two, AI – powered assistants can help salespeople work smarter, by empowering them to focus on leads who are genuinely interested and are therefore more likely to convert.
There is no question that sales will continue to be about building human relationships.

But how that will be accomplished will undoubtedly change as AI technologies automate the initial step of connecting with and engaging leads.

Artificial intelligence ( AI ) and machine learning aren’t just the wave of the future for big corporations; they’re also set to change the landscape of small business forever.

By 2020, 30 % of all B2B companies will employ AI to augment at least one of their primary sales processes that can lead to more conversions.

In fact, according to Gartner, artificial intelligence can help improve lead conversion and opportunity closure rates.

The technology is attractive to companies looking for help in handling tedious tasks and making sense of large – scale data in order to make better business decisions.

These companies are investing heavily in AI solutions in order to boost their operational efficiency and provide enhanced customer experience.

Pre – recorded voice messaging, inbound call routing and one – click dialing are some of the applications of AI that can streamline sales process, help sales reps perform better and make more intelligent decisions.

Most sales reps have a vague idea about leads that are likely to convert.

A lot of time is spent in analyzing lead information to identify potential customers.

They have also developed a Hype Cycle methodology to predict how this will evolve over time.

If you can use these findings for sales advantages and capitalize your digital assistant to do the work that you don’t want to do, sales performance can be automatically increased.

Using artificial intelligence to gather data and algorithms to predict customer behavior can be a valuable asset.

Salespeople often spend quite a lot of time to manually analyze all the big data they collect; by utilizing AI algorithms and letting AI analyzing all the incoming leads, monitoring orders, and identifying the most promising ones, the sales team can focus on increasing conversions.

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