Main applications of AI in enterprises

Leading AI applications such as most apps are affordable for many companies and allow them to large amounts of data to be analyzed and processed quickly and efficiently.This provides strategic information that companies can use to define the strategies to be followed. This is called Big Data management.

The use of AI for planning and decision making within a company is referred to as Business Intelligence (BI) or business intelligence. BI systems enable businesses to collect, store, access and analyze vast amounts of corporate data to improve process efficiency. 

► You may also be interested in: What is Business Intelligence and how can it help your company?

What are AI applications enabling in enterprises?

Optimize purchasing systems

This helps drive strategic value for the company and its decision makers. This gives procurement professionals more time to work on the opportunities they identify. Artificial intelligence makes it possible to analyze data, both structured and unstructured, and draw conclusions much faster than an expert would.

Automate processes

Thanks to AI applications, it is possible to identify which processes can be automated and to be able to recognize errors or inconsistencies in the data being used, saving large amounts of time that can be devoted to activities that provide real value. 

Customer segmentation

This involves processing the information collected in the customer database and then carrying out a demographic study to define the type of customer to which commercial efforts should be directed. It is possible, for example, to find out from a series of filters, in which cities, with what ages or professional profiles a particular service is most used and, in this way, develop strategies aimed at satisfying a particular segment.

Develop business opportunities

Using AI applications, tailored products or services can be proposed, which can help identify new customers. This requires improving cross-selling and product conversion rates, among other factors.

Ensuring compliance with spending policies

It is related to the previous section. It involves restricting the products and services that employees can purchase directly, as well as the suppliers and businesses to which they have access.

Strengthening cybersecurity

Minimize the chances of cybercriminals gaining access to corporate information and management systems.

Fraud detection

Their detection can be automated more effectively with the incorporation of external data from historical records. This enables better estimation of potential repair and cancellation costs.

Data prediction

You can anticipate, for example, which customers will not pay their next invoices on time. The ARM solution for default predictiondeveloped by GAMCOpoints in this direction.

Enable recognition of languages, patterns, images and persons

As more data and images become available, new AI functionalities, such as facial recognition, are developed and refined.

Improving online customer support through chatbots

The rise of these machine learning systems in recent years, which are adjusted according to user behavior, and their massive implementation in many companies will have an impact on their quality. A chatbot allows, based on natural language recognition or NLP, to evaluate the degree of satisfaction in the interaction with customers, suppliers and the general public with respect to our brand. It can recommend and personalize products or services, handle complaints, improve communications with customers and process simple transactions.

Detect anomalies

It is possible to monitor whether business circumstances are occurring outside a logical trend.

Employ robots for routine or highly specialized tasks. For a multitude of operations, robots will be used to replace human presence.

Artificial intelligence is one of the most disruptive technologies of the century and is helping SMEs to evolve faster, especially in the field of communications, product development and personalized customer service.