{"id":10443,"date":"2026-05-01T09:00:55","date_gmt":"2026-05-01T08:00:55","guid":{"rendered":"https:\/\/holisticds.com\/?post_type=articulo&p=10443"},"modified":"2026-05-01T09:00:55","modified_gmt":"2026-05-01T08:00:55","slug":"generative-ai-business-applications","status":"publish","type":"articulo","link":"https:\/\/holisticds.com\/en\/articulo\/generative-ai-business-applications\/","title":{"rendered":"Generative AI in companies: real-world use cases and applications by Holistic Data Solutions"},"content":{"rendered":"

Generative artificial intelligence<\/b> is undoubtedly one of the most visible and widely discussed technologies of recent years. Although many companies associate it only with conversational tools or content generation, it can actually automate complex tasks, interpret unstructured information, and execute end-to-end processes that previously required constant human intervention, making it highly relevant in a corporate context.<\/span><\/p>\n

As an example, in this article we present <\/span>real-world use cases developed by Holistic Data Solutions<\/b>, where generative AI has been applied to solve specific challenges across different industrial and service-based companies.<\/span><\/p>\n

What is generative AI and how is it applied in business.<\/span><\/h2>\n

Generative AI is a branch of artificial intelligence capable of <\/span>creating content, interpreting information, and generating responses or actions based on data. <\/b>Unlike more traditional approaches focused on analysis or prediction, this type of AI also produces new outputs, whether texts, classifications, decisions, or even fully automated processes.<\/span><\/p>\n

In a business context, this translates into a wide range of applications, such as document generation, customer service automation, interpretation of complex information, and execution of administrative tasks, among many others.<\/span><\/p>\n

By the way, if you want to explore what generative AI is and how it differs from other types of AI, you can do so in this other article, where we have already discussed in depth<\/span> how to implement artificial intelligence in companies.<\/span><\/a><\/p>\n

Now, let\u2019s look at some real-world use cases delivered by Holistic Data Solutions that serve as examples of the different applications that can be adopted with this type of technology.<\/span><\/p>\n

Data extraction automation with generative AI: packaging company use case.<\/span><\/h2>\n

Context and challenge.<\/span><\/h3>\n

A company specializing in cardboard packaging with artistic finishes managed a high volume of operational documentation on a daily basis. Specifically, manually analyzing around 100 delivery note sheets per day represented a significant workload for the team.<\/span><\/p>\n

This process involved reviewing documents, identifying important data such as the delivery note ID or weight in kilograms, and transferring it to internal systems. In total, this task consumed around <\/span>25 hours of manual work per week<\/b>, with the resulting operational cost and risk of errors.<\/span><\/p>\n

Solution implemented.<\/span><\/h3>\n

To address this situation, an <\/span>automated solution was designed combining Power Automate, Python, and the OpenAI API.<\/b><\/p>\n

The system manages PDF documents through Power Automate and uses a Python script that, supported by generative AI capabilities, analyzes the content of the documents, including images, to extract the relevant data.<\/span><\/p>\n

The system then generates structured CSV files that are automatically consolidated into a master file.<\/b> In addition, document classification is automated, organizing files into folders according to their status, ensuring traceability and process control.<\/span><\/p>\n

Results and impact.<\/span><\/h3>\n

The impact was immediate:<\/span><\/p>\n