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Intelligent logistics
Vipzus
10 March, 2026

The logistics revolution has already begun: artificial intelligence, intelligent ports and new supply chains

Smart logistics redefines global supply chains.

Global logistics is one of the most profound transformations of recent decades. Factors such as accelerated digitization, port automation, geopolitical trade reorganization and artificial intelligence adoption are redefining the operation of supply chains.

According to analysis by consultants such as McKinsey and Deloitte, leading companies are migrating to data-based logistics models, with increasingly automated and resilient operations against global interruptions.

In this context, logistics is no longer an operational function to become a key strategic asset for business competitiveness.

Digitization and automation: the new logistics infrastructure

One of the most visible changes in the sector is the incorporation of digital technologies at all stages of the logistics chain.

The calls smart ports already use sensors, advanced analytics and artificial intelligence to optimize operations, reduce waiting times and improve the traceability of goods.

In turn, the distribution centres are incorporating:

  • Self-contained robots for order preparation.
  • Logistics management systems based on IA.
  • Real-time visibility platforms for inventories.

This process allows for improved operational efficiency, reduced logistical costs and increased capacity to respond to demand changes.

According to World Economic Forum reports, digitization of logistics could reduce global transport costs by more than 10% over the next decade.

Neartering and regionalization of trade

Another key phenomenon is the geographical reconfiguration of supply chains.

After the disruptions generated by the pandemic and trade tensions between large economies, many companies are reducing their dependence on extremely long supply chains.

This is driving strategies of nearwhere production approaches consumer markets.

In Latin America, this trend opens up relevant opportunities in sectors such as:

  • Manufacturing
  • Agroindustry
  • Port logistics
  • Industrial infrastructure

Countries in the region are beginning to position themselves as strategic nodes within the new global trade networks.

Artificial intelligence applied to logistics

Companies are using advanced algorithms to:

  • Optimize transport routes.
  • Anticipate interruptions in the supply chain.
  • Preview changes in demand.
  • Automate operational decisions.

Predictive analysis allows companies to react before problems occur, reducing operational risks and improving planning.

According to Harvard Business Review, organizations that integrate artificial intelligence into their logistics operations can improve operational efficiency by 15 to 20 per cent.

Investment in logistics infrastructure

There is a significant growth in investment in logistics infrastructure.

Investment funds and large global operators are allocating capital to:

  • Logistics parks.
  • Regional distribution hubs.
  • Port infrastructure.
  • Data centres linked to digital trade.

The growth of e-commerce is also driving the demand for distribution centres closer to large urban areas.

This convergence between digital trade, logistics and real estate it is creating new opportunities for investment and development in the sector.

Strategic perspective for enterprises

The evolution of logistics presents challenges and opportunities for companies in multiple productive sectors.

The most relevant strategic factors include:

1. Technological integration
Companies should invest in digital platforms that allow full visibility of their supply chains.

2. Diversification of suppliers
Reducing dependence on a single region or supplier becomes key to improving resilience.

3. Regional logistics infrastructure
The development of logistics hubs in Latin America can become a competitive factor for export industries.

4. Sectoral collaboration
Coordination between companies, governments and logistics operators will be crucial to developing more efficient logistics ecosystems.

In this new scenario, logistics is no longer a secondary function to become a central pillar of the business strategy.

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IA - Enterprise infrastructure
Vipzus
6 March, 2026

Generative artificial intelligence: from technological experiment to business infrastructure

The new stage of artificial intelligence in companies.

In recent months, the artificial, generative intelligence has begun to be consolidated as a key technology infrastructure within organisations.

What was initially perceived as an experimental tool to generate texts, images or code is evolving into a platform that allows automate processes, optimize decisions and redesign operating models.

Companies in multiple sectors are incorporating these technologies in areas such as customer care, marketing, data analysis and software development. The result is a gradual transformation of the way organizations produce, manage information and make decisions.

Recent reports from McKinsey and Deloitte indicate that generative artificial intelligence could generate billions of dollars in global economic value in the next decade, promoting a new phase of digital transformation.

From pilot projects to operational integration

In the first stage, many companies adopted the artificial, generative intelligence through internal experiments and tests. Technology teams explored their capacities through pilot projects aimed at improving productivity or reducing costs in specific tasks.

However, recent market developments show a significant change: technology is beginning to be integrated into Central operating processes.

The main applications include:

  • Automation of customer care through intelligent assistants.
  • Content generation and marketing campaign optimization.
  • Development of software assisted by artificial intelligence.
  • Advanced data analysis for decision-making.
  • Optimization of internal processes.

This transition marks the step of technological experimentation towards a model in which artificial intelligence works as a cross-border digital infrastructure.

A global technological career

The advance of artificial intelligence is also driving a international technological competence.

The United States maintains a dominant position thanks to its technological ecosystem and the investment of large companies in artificial intelligence infrastructure. At the same time, China and the European Union have accelerated their investments in data centres, semiconductors and development of advanced models.

Global competition is concentrated in three key areas:

  • Development of large-scale artificial intelligence models.
  • Advanced computing infrastructure.
  • Access to large volumes of data.

In this context, artificial intelligence is becoming a strategic assets for both companies and national economies.

Regulation and technology governance

As artificial intelligence is integrated into business processes, the interest of regulators in establishing policy frameworks is also growing.

The European Union has made progress in developing the AI Act, one of the first regulatory frameworks to establish standards of transparency, safety and risk control in artificial intelligence systems.

Other countries are evaluating similar regulations, especially in areas related to:

  • Use of data.
  • Algoritmic sessions.
  • Responsibility for automated decisions.
  • Labour impact of automation.

For companies, regulatory development becomes a key factor in defining technology adoption strategies.

Strategic implications for enterprises

Generative artificial intelligence offers relevant opportunities to improve productivity and competitiveness, but its impact will depend to a large extent on how companies integrate technology into their business models.

The organizations that can capture the most value will be those that can combine technological innovation with organizational transformation.

This involves developing new capacities in:

  • Data analysis.
  • Process automation.
  • Technology management.
  • Specialized talent training.

At the same time, companies should manage risks associated with the adoption of artificial intelligence, including technology dependence, data security and regulatory compliance.

Perspective for Latin America

In Latin America, the adoption of artificial generative intelligence is still at an early stage, although some sectors are already exploring its potential.

Banking companies, retail, telecommunications and logistics are incorporating artificial intelligence tools to improve operational efficiency and analytical capacity.

The main regional challenge relates to the availability of technological infrastructure and specialized talent. However, the integration of these tools also represents an opportunity for modernising productive sectors and improving productivity.

A transformation that just begins

Generative artificial intelligence is redefining the role of technology within companies. More than a point tool, it begins to consolidate as a strategic platform capable of transforming business processes and models.

In this scenario, understanding global technological trends and anticipating their impact on the different production sectors will be increasingly relevant to organizations.

In Vipzus we accompany companies in key productive sectors to identify opportunities, strengthen their positioning and design growth strategies in increasingly competitive markets.

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