90% of Enterprises at CIIE Use Ineffective Business Card Scanning? AI Has Reduced Customer Acquisition Costs by 42%

12 January 2026
At the 2026 Shanghai CIIE, 90% of enterprises are still using ineffective business card scanning.The real winners have already used AI to lock onto decision-making cores. This article reveals how predictive modeling and scenario-based outreach can turn every expo interaction into a calculable growth engine.

Why Traditional Cross-Border Customer Acquisition Fails at the CIIE

In high-density, short-cycle business scenarios like the CIIE, traditional cross-border customer acquisition models are facing systemic collapse—average response rates from mass-marketing campaigns are below 15%, and over 78% of leads fail to convert within three months after the event.This means every budget you invest could be sunk in unread emails and expired business cards.

Taking a certain international consumer goods company in 2023 as an example: They collected 500 contact business cards and spent over one million yuan on follow-ups, yet only closed 12 deals. The problem isn't insufficient reach—it's that 'reach doesn't equal connection.' Most of these contacts were brand representatives or marketing staff who weren't even on the purchasing decision-making chain.NLP-driven organizational role identification technology lets you skip the execution layer and go straight to the approval source, because AI can parse from public information who truly controls budgets and initiates projects.

AI-powered customer discovery solves the fundamental strategic misjudgment of 'targeting the wrong people'—it shifts companies from passively collecting contact details to proactively building global buyer knowledge graphs. Every failed follow-up reminds you: Without the ability to identify decision-makers, you'll always remain on the periphery of the organization.

How AI Accurately Identifies High-Value Decision-Makers

The core capability of AI-powered customer discovery is penetrating through job title fog to pinpoint the real purchasing hubs. By analyzing exhibitor websites, press releases, and social media content with natural language processing (NLP), the system automatically identifies key role signals.For instance, when a European manufacturer announces its 'China supply chain localization' strategy, AI not only captures the move but also combines it with organizational structure modeling to flag the 'Asia-Pacific Supply Chain Director' rather than the 'Brand Manager' as a high-value target.

This capability means your sales team no longer wastes time communicating with low-level positions, because AI has quantified each contact’s decision-making weight based on budget control, cross-departmental collaboration records, and historical purchasing behavior. Gartner’s 2024 research confirms that companies adopting this technology shorten their sales cycle by 40% and boost lead conversion rates by 2.3 times.

Identifying decision-makers is just the starting point—the bigger value lies in entering the procurement window ahead of time. Once you know who has the authority to make decisions, the next step is to determine when they’ll need solutions.

Predictive Models Forecast Real Procurement Needs

Only 30% of exhibitors actually bring orders.AI predictive models let you identify six to twelve months in advance which companies will ‘shift from observation to procurement’, and McKinsey’s 2024 report shows that these companies see an average 35% reduction in customer acquisition costs.

The predictive foundation consists of three-layer signal dynamic modeling:
Macro-industry trends: For example, if Germany pushes for Industry 4.0 upgrades, related German companies automatically enter the high-intention pool, meaning you can deploy localized solutions early;
Meso-enterprise behavior: A smart manufacturing company that completes Series B funding has a 67% chance of initiating procurement within six months, allowing you to step in as a strategic partner before RFQs;
Micro-interaction traces: Website browsing paths, exhibition stay duration, and engagement with technical topics on social media are pieced together into intent profiles, meaning what you push isn’t guesswork anymore—it’s precisely matched to their research stage.

The result isn’t just a more accurate list—it’s faster deal cycles and higher-quality partnerships. Now the question is: How do you reach the right people at the right time and in the right way?

Practical Applications of Scenario-Based AI Outreach

Leading companies no longer rely on ‘scanning the expo’ to acquire customers.Scenario-based AI outreach strategies triple the output per salesperson. One international medical device brand launched personalized pre-event AI warm-up emails seven days before the expo, achieving an open rate 2.1 times higher than the industry average; on the first day of the expo, its booth chatbot identified top-three hospital procurement officers entering via the CIIE app and immediately triggered a dedicated reception process.

  • Pre-expo precise warm-up: AI generates thousands of tailored invitation contents, meaning each outreach is customized based on the recipient’s digital footprint, because personalization significantly speeds up trust-building
  • During-expo real-time response: Location- and identity-based dynamic interactions mean you complete efficient connections the moment decision-makers arrive, because every hour of response delay reduces the conversion probability by 18%
  • Post-expo closed-loop management: Automated lead nurturing paths compress the conversion cycle from monthly to weekly, meaning sales resources can quickly be freed up for new opportunities

Shanghai’s open digital ecosystem makes it an ideal testing ground for AI customer acquisition—rich data sources and platform interfaces allow every touchpoint to be calculated, optimized, and amplified.

Quantifying the Business Returns of AI-Powered Customer Discovery

When the AI system locked onto 37 high-value overseas distributors at the 2024 CIIE, one Yangtze River Delta cross-border e-commerce company saw its Q4 revenue jump by 190%.After implementing AI-powered customer discovery, companies saw an average 42% drop in customer acquisition costs, a 55% shorter sales cycle, and a 28% increase in high-value customer retention.

  • Clear ROI: The AI system costs about 200,000 yuan annually, generating an average 80,000 yuan in revenue per deal, paying for itself within six months—meaning the ROI is clearly controllable
  • Continuous asset appreciation: Each outreach feeds back into the buyer knowledge graph, enabling dynamic updates of customer profiles and reuse across multiple events, because data accumulation creates a compounding effect
  • Building competitive barriers: Companies that take the lead in establishing a digital twin of their global distribution network will outpace competitors by at least one quarter in cross-border responsiveness, because decision delays mean lost market share

On Shanghai’s world-class platform, AI is no longer a tool—it’s a strategic-level customer acquisition engine. Take action now: Let your next international expo become the critical node for accumulating global customer assets—don’t miss the next person who can make the final decision.


As revealed in this article, AI is completely reshaping the underlying logic of cross-border customer acquisition—from ‘mass outreach’ to precise decision-maker identification, from passive response to predicting procurement windows. The real growth engine lies in systematic, intelligent customer discovery and outreach capabilities. And this is exactly the core value Bay Marketing is committed to delivering to businesses: Through an AI-driven global opportunity collection and intelligent email marketing system, you won’t just ‘find the right people,’ but also ‘connect with them at the right time and in the right way’ consistently.

You no longer need to rely on inefficient business card exchanges or blind email blasts. With Bay Marketing, simply enter keywords and set conditions such as industry, region, and language, and the system will automatically collect high-value customer contact details and generate personalized email templates powered by AI, ensuring high deliverability and intelligent outreach. Furthermore, Bay Marketing supports email open tracking, automatic interactive replies, and even multi-channel follow-ups via SMS, truly realizing a full-link closed loop from pre-expo warm-up, during-expo response, to post-expo nurturing. Whether you’re deeply involved in cross-border e-commerce, foreign trade exports, or expanding your global service network, Bay Marketing can help you seize the initiative in the global market with a delivery rate above 90% and a flexible pay-as-you-go pricing model.

如果您想要突破传统营销瓶颈,实现 AI 驱动精准获客,即刻联系我们!拨打热线 18038079880 或邮件至 emma@eall.biz,免费预约定制化功能演示,见证数据赋能业务增长的无限可能!