Digital Transformation in Trade Promotion: From Policy Objectives to Data-Driven Trade Governance

In recent years, Vietnam has continuously advanced major strategic directions in digital transformation, digital economy development, and enhancing national competitiveness in the global trade landscape.

According to Decision No. 1968/QĐ-TTg, Vietnam aims for 60% of trade fairs and exhibitions to be organized on digital platforms by 2030. Prior to this, Resolution No. 57-NQ/TW and Resolution No. 68-NQ/TW also emphasized science and technology, digital transformation, and the private sector as key drivers of growth in the new economic model.

These directions reflect an ongoing global reality: procurement activities, supplier sourcing, and international trade connections are rapidly shifting toward digital environments.

Driven by Big Data, artificial intelligence (AI), and digital platforms, international buyers increasingly prioritize searching, evaluating, and filtering suppliers based on data rather than relying solely on traditional trade promotion channels.

In this context, competitiveness is no longer defined by the number of trade fairs organized or the number of businesses participating in trade promotion activities. Instead, advantage increasingly belongs to countries that possess strong digital trade data infrastructure—capable of connecting businesses with markets, supporting decision-making, and enabling continuous transaction flows in the digital environment.

Digital trade infrastructure from policy goals to real trade outcomes

The Gap Between Policy and Execution

Currently, most trade promotion activities still operate under short-term event-based models such as trade fairs, exhibitions, or periodic trade missions. This model was effective in the traditional trade era, when information was scarce and face-to-face interaction was the most efficient way to establish partnerships. However, as global supplier sourcing shifts to data-driven digital environments, the limitations of this model are becoming increasingly evident.

Enterprise data remains fragmented, unstandardized, and difficult to reuse after each event. Trade connections depend on event timing, while international buyer demand arises continuously and independently of trade fair schedules. More importantly, the lack of interconnected data makes it difficult for both businesses and regulators to track market signals and measure trade promotion effectiveness over the long term.

As a result, many trade promotion programs generate activities but fail to build sufficiently strong data systems to sustain continuous transaction flows or enable real-time measurement.

From a government perspective, the evaluation of trade promotion effectiveness is still largely based on the number of events organized, the number of participating enterprises, or periodic statistical reports.

Meanwhile, more critical questions remain difficult to answer:
- Which industries are experiencing increasing procurement demand?
- Which markets are emerging with new opportunities?
- Which trade promotion programs generate meaningful connections?
- Which enterprises are attracting strong interest from international buyers?
- Where should support resources be prioritized—by sector or by locality?

This gap highlights that the current challenge is not merely digitizing existing activities, but building data-driven trade governance capabilities.

Why Is a Digital Trade Infrastructure Needed?

If transport infrastructure enables the movement of goods, digital trade infrastructure enables the flow of data, market demand, and business opportunities.

This is not simply a technology platform or an online connection tool. It is a continuous operational layer that standardizes data, connects businesses to markets, and creates trade data flows that can be leveraged to support governance, policy-making, and national competitiveness.

A digital trade infrastructure must simultaneously address three core challenges. First, standardizing enterprise data to form a unified trade data source. Second, establishing a continuously operating connection environment rather than relying on short-term events. Third, building an analytical data layer to support decision-making at both enterprise and governance levels.

More importantly, this infrastructure must create a continuous data loop between market demand, buyer behavior, enterprise capabilities, and trade promotion activities. This is the key condition for transforming policy objectives into tangible trade outcomes.

Value for Government and Regulatory Bodies

At the national level, the greatest value of digital trade infrastructure lies not only in technology, but in the ability to build an interconnected trade data layer for governance. When businesses, localities, associations, and trade promotion organizations operate on a unified data infrastructure, regulators can gradually develop capabilities to:
- Monitor market trends in real time
- Measure trade promotion effectiveness by industry and locality
- Identify high-demand sectors to design targeted support programs
- Allocate support resources based on data rather than fragmented approaches
- Build data systems to support digital economic governance and export development

This enables a shift from event-based operations to continuous trade ecosystem management—a structural transformation in how governments support businesses in accessing international markets.

Value for Enterprises

For enterprises—particularly SMEs—the challenge today is not merely joining digital platforms, but being discovered, evaluated, and matched with the right international buyers. Many companies possess strong production capabilities but lack standardized data, limiting their visibility in global buyer search and evaluation processes.

Through digital trade infrastructure, enterprises can gradually standardize their data and capability profiles according to international standards, enhance access to buyers based on sector-specific demand signals, maintain continuous market presence at optimized costs compared to traditional trade fairs, and progressively integrate deeper into global supply chains.

Arobid V2.0: An Execution Model for Digital Trade Infrastructure

From this perspective, Arobid V2.0 is developed as a digital trade and investment promotion infrastructure powered by data and AI, operating across three core layers:

Through AroAI Onboarding, enterprises are supported in standardizing their data into a digital trade profile (e-Profile) aligned with international B2B standards.

On this data foundation, the AI Matching system enhances the ability to connect with suitable buyers, while TradeXpo provides a continuously operating, industry-specific digital exhibition environment—enabling enterprises to maintain presence and expand trade opportunities beyond the limitations of short-term events.

The ultimate objective is not merely to create another connection platform, but to contribute to building a trade data infrastructure capable of serving enterprises, trade promotion organizations, and regulatory bodies simultaneously.

Arobid V2.0 is developed as a digital trade and investment promotion infrastructure powered by data and AI

From Digital Transformation to National Competitiveness

In the coming period, competition will not only occur between enterprises.

It will also take place between data ecosystems, trade infrastructures, and the digital governance capabilities of each country.

As global trade increasingly operates on data and artificial intelligence (AI), countries that possess strong digital trade infrastructure will gain a clear advantage in attracting international buyers, supporting enterprises in participating in global supply chains, and enhancing export competitiveness in the long term.

Policies provide direction, but data infrastructure is the condition that turns those directions into real outcomes.

Learn more about the Arobid V2.0 digital trade infrastructure model at: arobid.com