Written by Caio Barbosa and reviewed by Wevy Marketing
Every leader wants an AI to call their own – at least that’s what the report reveals The State of AI in 2024by McKinsey.
According to the study, 79% of business leaders consider artificial intelligence and data analysis to be fundamental elements for the success of their organizations.
This data reinforces the strategic role of AI in managers’ routines, offering more agility in decision-making, significant efficiency gains, personalization at scale and the generation of new sources of value.
In an increasingly dynamic and innovation-driven market, the ability to turn data into action has become an essential competitive differentiator.
What was going to be inaccessible, AI has made possible
Pun intended or not, despite its great progress, it is still common for the collective imagination to associate Artificial Intelligence (AI) with futuristic scenarios or very high investment initiatives – often seen as the exclusive preserve of large corporations with highly specialized teams.
However, the reality of Brazilian companies is demystifying this idea.AI is already being applied concretely and effectively in everyday business, with solutions that are accessible, scalable and focused on solving real challenges.
Today, the plurality of automation tools, predictive analytics, virtual assistants and recommendation systems are just a few examples of how this technology is being incorporated into operational and strategic processes.
As a result, it is becoming increasingly viable not only for the giants of the market, but also for medium-sized and small companies looking for efficiency, innovation and competitive advantage in an intelligent and sustainable way.
From concept to action: where AI is already making a difference
When observing different business operations, some pains are often repeated:
- Lack of visibility over stock
- Excessive operational errors
- Low demand predictability
- Inefficient monitoring of critical processes
In each of these scenarios, AI has played a transformative role.
1. Predictability with predictive analysis models
Imagine an environment with thousands of points of sale, where predicting stock-outs is a daily challenge. Companies that used to suffer from losses due to lack or excess of products are now implementing predictive analysis models that update automatically every 6 hours.
The impact? An almost total reduction in losses due to stock-outs, as well as more assertive purchasing management based on real data on future demand.
2. Intelligent monitoring of operations with computer vision
Another practical example comes from the application of computer vision integrated with machine learning algorithms for monitoring security protocols.
With internal cameras and a real-time recognition system, it was possible to create an automatic alert whenever an operational failure occurred – such as the non-use of mandatory equipment.
The result? An 80% reduction in incidents related to non-compliance with internal protocols, as well as significant gains in quality and operational safety.
3. Precision agriculture: AI beyond cities
In the field, AI has also shown its worth. With the use of multispectral imaging and autopilot certification, operations that were once limited by issues of scale or cost are now accurately monitored.
The result was an increase of up to 15% in production and a reduction of up to 10% in operating costs, consolidating AI as an essential resource for agricultural efficiency.
How to get started with AI without complicating things
The biggest myth about Artificial Intelligence in companies is that it requires long projects and millionaire investments. The truth is that today there are modular delivery modelswith a focus on fast, low-risk results.
The secret lies in:
- Choose a real, measurable problem to start with
- Define a clear technical scope with expert support
- Start with a pilot and scale up progressively
Why is Wevy the ideal partner in the AI journey?
At Wevy, AI is not just a promise: more than 100 Artificial Intelligence projects have already been implemented, delivering concrete results in different business contexts.
Here, you won’t find “one more report” to pile up in the drawer.
Wevy’s focus is to help your company make decisions at the right time, with continuous monitoring, predictive analysis and generative AI applied to the real context of your business.
And because opinion without data is just… gossip, our team works to ensure that each insight is supported by robust mathematical models, with a focus on performance and economy.
Whether it’s predicting the next stockout, correcting a problem in the field before it becomes a crisis, or automating the monitoring of critical processes, Wevy has a solution ready to scale with you.
Talk to one of our experts and come and build your new project!
