AI for sales: how Artificial Intelligence can transform the sales process

Why apply AI to the sales process?

The sales process consists of many tasks that require time and attention:

• Collecting requests
• Analyzing information
• Verifying data
• Preparing documentation
• Updating systems
• Transferring information between different people and tools

A significant portion of these activities does not directly involve customer relationships or sales strategy, but rather the management of the information needed to move the process forward. And this is precisely where artificial intelligence can step in.

The goal, therefore, is not simply to "use AI in sales," but to identify the activities where technology can reduce manual work and make the sales process faster, more structured, and more effective.

From unstructured information to useful sales data

One of the main advantages of AI in business processes is its ability to work with information that is not already organized in a precise structure: emails, documents, written requests, attachments, and communications can contain important information for the sales process, but they often need to be read and interpreted manually before they can be used.

Artificial intelligence can help extract this information, understand its meaning, and transform it into data that can be used by company systems.
In this way, the entry point of the process can change: instead of asking a person to manually read, interpret, and enter information, AI can handle the initial processing, leaving the tasks that require judgment, experience, and decision-making to people.

Applying AI to the sales process can, therefore, help to:

• Reduce manual and repetitive tasks
• Speed up information collection and processing
• Transform unstructured data into actionable insights
• Support people in higher-value activities

However, the benefit depends on how the solution is designed and, above all, which process problem you choose to address.
This is because not all business processes have the same needs, and not all tasks are suited to the same level of automation.

A concrete case: intelligent PRs

An example of applying AI to the business process is the intelligent purchase requisition (PR): a request can reach the company through unstructured information and require several steps before it can be turned into useful process data.

AI can step in at this stage to interpret the request, identify relevant information, and structure it so it can be more easily used within the process. The value, therefore, does not lie in introducing a new tool for its own sake, but in modifying the process entry point, reducing manual tasks, and making the transition from information to action more immediate.

From experimental AI to process-applied AI

Many companies are experimenting with artificial intelligence tools, but the most important step is moving from experimentation to integrating AI into business processes: while a chatbot can be useful for exploring the technology's potential, an application integrated into a business process can generate a concrete and measurable impact.

For this reason, when talking about AI for sales, the question to ask shouldn't just be what tool can we use?, but rather: what activity can we improve and what value can we generate by intervening in that process?

It is from this question that a truly useful AI project for the company is born.

Discover AI applied to business processes

On October 22, 2026, we will host "Beyond the Use Case - AI that Generates Impact in Production," an event dedicated to the concrete application of artificial intelligence to business processes.
During the event, we will analyze three concrete use cases related to sales, procurement, and warehousing to show how AI can move from experimentation to integration into daily operations.

-> DISCOVER THE OCTOBER 22, 2026 EVENT