The first release of the AI demand list with 200+ brands! Real feedback on the Global New Brand AI Competitiveness Conference

By 2025, AI has evolved from a technological revolution to a commercial revolution, igniting new competitiveness for brand globalization and cross-border e-commerce. Brands, platforms, and service providers once again stand at the crossroads of technological and commercial revolution, facing an epoch-making "evolution choice".

Against this backdrop, as the most prominent company to host the "Global New Brand AI Competitiveness Conference", Ebrun has officially announced that it will be held in Hangzhou on June 6th. The conference was announced to the public for two weeks, and there have been over 200+ enthusiastic sign-ups.

In the survey of registered attendees, we have identified their most realistic needs for commercial applications of AI, and the issues they hope to discuss at the summit can be summarized as follows:

I. AI application scenarios and implementation methods

1. What are the best application areas for the integration of brand companies with AI at present?

2. What are some excellent AI application cases in the field of cross-border e-commerce?

3. Deep integration and application of AI in the field of content e-commerce.

4. AI application in brand marketing, including:

(1) AI marketing insights

(2) How can AI improve advertising reach efficiency and labor efficiency?

(3) How to avoid "intelligent money burning" using AI for automated optimization?

(4) How to use AI to build localized overseas brands

(5) How can AI truly achieve positive ROI growth in brand marketing and business operations, rather than just improving efficiency?

(6) How can the AI marketing mid-stage platform enhance LTV (Customer Lifetime Value) rather than just traffic acquisition?

5. The application of AI in e-commerce product selection, such as: how can AI product selection not only serve short-term GMV growth, but also drive long-term brand asset accumulation?

6. How does AI empower supply chain and pricing optimization?

7. AI data analysis, such as: How can AI deeply analyze data with emotional content?

8. How can AI assist in customer expansion and maintenance?

II. Practice of AI in vertical industries

1. What relatively mature AI application innovations are there in the clothing industry?

2. What is the prospect of combining intelligent robots in the apparel industry?

3. The application of AI in smart coffee machines?

4. How can industrial manufacturing brands spread through digital marketing?

5. How can manufacturing companies use AI?

III. The real value of AI in commercialization

1. AI technology has been widely used in multiple fields, but a key issue: it has only reduced costs and increased operational efficiency, but has not directly led to profit growth. In some cases, over-reliance on AI has even led to the loss of brand differentiation, affecting long-term competitiveness. How to address this?

2. Currently, AI's commercial value is used more to improve efficiency rather than to create new business models. How can this be broken through?

3. How can AI dynamic pricing and inventory management help brands balance between maximizing profits and competitiveness?

IV. Help of AI in organizational management

1. How can AI and employees better collaborate?

2. At the enterprise operations level, how can AI help to save money and bring about real benefits?

In addition, we have learned from these 200+ brand attendees that 59.5% of them have stated that their companies have already implemented AI in practical business, 34.7% of brands are in the learning phase, and only 5.8% have indicated that they have not yet tried.