Artificial intelligence and innovation: a new competitive advantage for trade fairs and congresses

During the III AFE & APCE Congress held from July 8 to 10, two topics that are gaining increasing importance in the trade fair and congress industry were discussed, among other issues: innovation and artificial intelligence.

This conversation invites us to reflect on how both can contribute to improving the planning, management, and results of trade fairs, conferences, and venues. Not from a theoretical perspective, nor from the adoption of technology as an end in itself, but from a much more concrete question: what real business problems can they help us solve?

Because innovation isn't just about incorporating new tools. Nor is it about launching isolated projects disconnected from the organization's strategy. Innovation involves reviewing how work is done, how decisions are made, and how value is created for exhibitors, organizers, visitors, sponsors, and destinations.

Artificial intelligence expands these possibilities, but it also requires us to be more rigorous in defining priorities.

Many organizations approach innovation from the perspective of available technology: they analyze solutions, review platforms, or launch pilot projects. However, the starting point should be different.

Before deciding which technology to implement, it is advisable to identify the main problems that affect the results of the event or the venue.

Some questions can help structure this analysis:

· Which processes are more time-consuming and provide less value?

· Where do the main operational inefficiencies occur?

· What information arrives late or does not reach decision-makers?

· What difficulties do exhibitors, organizers, and visitors encounter?

· What decisions are still being made primarily by intuition?

• What business opportunities are not being taken advantage of?

This approach helps avoid a common situation: organizations with many innovation initiatives, but little ability to demonstrate their impact.

Innovation must translate into measurable improvements. This could be reduced costs, increased occupancy, better sales conversion, more precise planning, or a superior experience for participants.

Improve the planning of trade fairs and congresses

One of the areas with the greatest potential is planning.

Organizing a trade fair or congress requires coordinating multiple variables: attendance forecasts, marketing of spaces, hiring of suppliers, staff planning, allocation of rooms, catering, mobility, security and communication.

Traditionally, many of these decisions have been based on historical data, accumulated experience, and estimates made by the teams. These elements remain fundamental, but they can be strengthened through more advanced use of data.

Artificial intelligence can help detect patterns and build more accurate forecasts . For example, it can analyze the behavior of previous editions, the evolution of registrations, the profile of attendees, the response to marketing campaigns, or the expected demand by time slots.

This can improve decisions such as:

• The size and distribution of the spaces.

• Access and accreditation planning.

• The allocation of human resources.

• The contracting of auxiliary services.

• The forecast for restoration and consumption.

• The organization of agendas and sessions.

• The management of flows within the premises.

Better forecasting doesn't eliminate uncertainty, but it does reduce it . And in an industry with high operational complexity, reducing uncertainty has a direct impact on costs, service quality, and user experience.

More precise business management

Artificial intelligence can also improve business processes.

Trade fair and congress organizers possess a wealth of information about clients, sectors, previous editions, participation, interests, and behavior. However, this information is not always integrated or used systematically.

A more structured use of data can allow for better segmentation of potential exhibitors, sponsors, or organizers. It can also help identify which clients are most likely to participate, expand their presence, or contract new services.

This allows for an evolution from general marketing campaigns towards more specific actions . It's not simply about sending more communications, but about improving their relevance. A sales proposal based on the customer's profile, interests, and current situation is more likely to generate a positive response than an indiscriminate campaign.

Artificial intelligence can also help sales teams prioritize opportunities, prepare for meetings, identify signs of interest, or analyze the risk of losing certain customers.

The final decision will still rest with the people, but it can be supported by more complete and better organized information.

Personalize the experience for exhibitors and visitors

Experience has become a central factor for the competitiveness of events.

Exhibitors and visitors expect to find increasingly tailored offerings that meet their specific interests. They want to make the most of their time, identify relevant contacts, access useful content, and receive information at the right moment.

Artificial intelligence can help personalize this experience.

It can recommend sessions, exhibitors, or activities based on each attendee's profile. It can also facilitate connections between buyers and sellers, improve agenda creation, or suggest meetings with greater potential.

For exhibitors, it can help identify which visitors show the most interest, which content generates the best results, or which commercial actions should be reinforced during and after the event.

However, personalization must be handled carefully. Its effectiveness depends on data quality and user trust. Privacy, transparency, and data protection must be integrated into the design from the outset.

Automate tasks without losing quality

Another relevant application is the automation of repetitive tasks.

Preparing documentation, classifying applications, answering frequently asked questions, preparing reports, or generating certain content can consume a considerable portion of the teams' time.

Artificial intelligence can free up resources in these areas.

The goal should not be to indiscriminately replace human tasks, but to allow people to concentrate on activities that require judgment, relationship building, negotiation, and industry knowledge.

Automation makes sense when it reduces time, prevents errors, and improves service consistency. But it requires oversight and clear procedures.

A faster response isn't always a better response. Therefore, organizations must define which processes can be automated, which require validation, and which should remain under the direct responsibility of professionals.

Better measure results

One of the industry's historical challenges is to make progress in measuring the value generated.

The success of a trade fair or conference cannot be measured solely by the number of attendees, the square footage occupied, or the revenue generated. These indicators are relevant, but insufficient to understand the true impact.

Artificial intelligence can help integrate different sources of information and build a more complete view of performance.

For example, you can analyze:

• The behavior of the attendees.

• The level of interaction between participants.

• The quality of the contacts generated.

• The evaluation of content and services.

• The effectiveness of the campaigns.

• The level of satisfaction of exhibitors and organizers.

• The probability of repetition.

• The economic and commercial impact of the event.

This information can improve both the final evaluation and the planning of future editions.

It can also strengthen communication with clients and sponsors. When an organization can more accurately demonstrate the value it generates, it improves its ability to build loyalty, renew contracts, and cultivate long-term relationships.

The main challenge is not technological.

The technology is available. The real challenge is organizational .

The implementation of artificial intelligence affects processes, responsibilities, skills, and ways of working. Therefore, it cannot be addressed solely from a technological perspective.

It needs leadership and a clear direction.

Before starting a project, it is advisable to answer four questions:

1. What problem do we want to solve?

2. What result do we expect to obtain?

3. What information do we need?

4. Who will be responsible for the process and its follow-up?

Without these answers, there is a risk of accumulating pilot tests that do not become integrated into ordinary activity.

It's also necessary to prepare the teams. Artificial intelligence won't generate results simply by being available. People need to understand how to use it, what limitations it has, and when to apply their own judgment.

Training should not focus solely on the use of tools. It must include critical thinking, data management, process redesign, and the ability to evaluate results.

Start with concrete and measurable projects

Not all organizations need to initiate large transformation programs.

In many cases, it is more useful to select one or two areas with a clear impact and develop controlled projects.

A venue could start by improving attendance forecasting and resource allocation. A trade fair organizer could focus on market segmentation. A convention center could apply artificial intelligence to proposal preparation or inquiry management.

The criteria for choosing the project should combine four factors:

• Strategic relevance.

· Technical feasibility.

• Data availability.

• Ability to measure results.

Once the impact has been verified, the organization can progressively expand the application to other processes.

This approach allows for learning, adjustment, and building confidence. It also reduces the risk of investing in solutions that don't meet real needs.

Innovate to strengthen the business model

The greatest opportunity lies not only in making current processes more efficient . Innovation and artificial intelligence can also help to revise the business model of trade fairs, congresses, and venues.

They can contribute to developing new information services, more personalized value propositions, permanent relationship platforms, or products that extend the activity beyond the days of the event.

This requires a broader perspective .

A trade fair should not be considered merely a one-off event. It can become a sector-specific platform capable of generating knowledge, relationships, and opportunities throughout the year.

Similarly, a venue can evolve from a logic based primarily on renting spaces towards a higher value-added services proposal.

Technology can facilitate this evolution, but the decision is strategic. It requires understanding the market, identifying the organization's differentiating capabilities, and defining what role it wants to play within the ecosystem.

From conversation to transformation

The debates held during the III AFE & APCE Congress confirm that innovation and artificial intelligence are now part of the sector's agenda.

The next step is to translate that conversation into concrete decisions.

It's not about adopting every available tool or transforming every process at once. It's about choosing the right places to act, linking each initiative to a business objective, and moving forward with discipline.

The organizations that achieve the best results will not necessarily be those that incorporate the most technology. They will be those that best understand their priorities, have access to reliable data, and know how to combine technology, industry knowledge, and sound management judgment.

At BMF Consultancy, we help trade fair, congress, and MICE organizations turn these opportunities into concrete transformation plans. We work on identifying priorities, redesigning processes, improving planning, and defining operating models that allow for the strategic integration of innovation.

The question is no longer whether artificial intelligence will have an impact on industry. The question is which organizations will be able to turn it into better decisions, better services, and better results.