Technology 4.0 and the power of decision-making
Posted: Thu Jul 10, 2025 8:42 am
The change in the way customers consume and the consequent need for corporations to be present in the digital environment has a direct impact on the way purchasing and sales relationships between corporations are conducted.
These new requirements force companies to seek, primarily with the support of artificial intelligence, alternatives to connect with their customers and ensure business closures.
This statement is reinforced when we look at this year's Gartner forecast, which showed that by 2020, 30% of companies will use artificial intelligence in at least one stage of the purchasing process.
This trend is expected to generate a large amount of data, and to analyze it, companies will need fast and efficient tools that lead to assertive strategies focused on each customer.
A tool that helps with this analysis, providing market forecasts, is the Internet of Things (IoT).
An example of the use of predictive analytics is the application of a email list mathematical function that analyzes existing data in a packaging sealing company and shows what potential future problems may be, which helps in decision-making and saves time.
Use a marketplace that offers advantages to the buyer, such as ensuring supplier verification, promoting greater security, trust in transactions, and profit from sales.
In addition to providing the best artificial intelligence to salespeople, this is a path that corporations should follow. These innovations guarantee companies greater visibility in the new consumer society.
Examples of AI automation in B2B businesses
Currently, there are several AI applications in various fields of B2B and B2C (business to customer), which are businesses between companies and end consumers.
Since we've already read several examples of artificial intelligence automation in the B2B segment, which is the focus of this text, we'll now move on to some examples in both niches (B2B and B2C). Check it out:
These new requirements force companies to seek, primarily with the support of artificial intelligence, alternatives to connect with their customers and ensure business closures.
This statement is reinforced when we look at this year's Gartner forecast, which showed that by 2020, 30% of companies will use artificial intelligence in at least one stage of the purchasing process.
This trend is expected to generate a large amount of data, and to analyze it, companies will need fast and efficient tools that lead to assertive strategies focused on each customer.
A tool that helps with this analysis, providing market forecasts, is the Internet of Things (IoT).
An example of the use of predictive analytics is the application of a email list mathematical function that analyzes existing data in a packaging sealing company and shows what potential future problems may be, which helps in decision-making and saves time.
Use a marketplace that offers advantages to the buyer, such as ensuring supplier verification, promoting greater security, trust in transactions, and profit from sales.
In addition to providing the best artificial intelligence to salespeople, this is a path that corporations should follow. These innovations guarantee companies greater visibility in the new consumer society.
Examples of AI automation in B2B businesses
Currently, there are several AI applications in various fields of B2B and B2C (business to customer), which are businesses between companies and end consumers.
Since we've already read several examples of artificial intelligence automation in the B2B segment, which is the focus of this text, we'll now move on to some examples in both niches (B2B and B2C). Check it out: