Generative AI Applications in Industry – Episode 4

This is an article from the “Heroic Journey” column published by the Hero.

2025 Issue No. 23, Total Issue No. 106

This article has a total of 2376 words, and it takes about 5 minutes to read.

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Hello, everyone!

Since the emergence of Generative AI (GenAI) led by ChatGPT, the topic of artificial intelligence seems closer to our work and life than ever before.

Humans both create and develop AI, while also being influenced and changed by it. In this unprecedented era of great change, the best way for humans to coexist with AI in a world of co-creation and mutual influence is to think at a higher dimension and listen to multiple perspectives.

Thus, the Hero will take you around the world to see what kind of digital intelligence stories are being played out globally.

Join the Hero in AI, keep up with the Hero’s rhythm!

This issue is part of the Hero’s irregularly brought series of “Heroic Selections”.

The International Data Corporation (IDC) was established in 1964 and officially set up a branch in China in 1982. It is one of the earliest globally renowned technology market research institutions to enter the Chinese market.

IDC uses global industry insights and in-depth local market and marketing strategies, consistently attracting and following clients, proving that IDC is indeed “beloved“.

The Hero will periodically select deep insights from IDC to help you closely engage with digital technologies and management practices in the world of digital intelligence, ensuring a long-lasting relationship, “beloved”, and going far.

This issue brings you the “Heroic Selection” article:

Achieving Business Growth with AI-Driven Solutions (Industry Edition)

(Transform Your Business With AI-Powered Solutions – Industry)

The Hero’s Golden Quote

From digitalization to intelligence, the core is always the customer, and the starting point is always business value.

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Original link:

Hero Original 🙂 + IDC Official Website

4. Brand-Oriented Value Chains (BOVC)

The Hero’s Note: Michael E. Porter introduced the concept of the Value Chain in his 1985 book, “Competitive Advantage”. He divided business activities into primary and support activities, emphasizing the creation of value through the optimization of these activities.

“Brand-Oriented Value Chains” (BOVC) refer to industries that heavily rely on brand value and brand management to create and deliver value. These industries emphasize brand experience and brand equity, often attracting and retaining customers through strong brand recognition, brand loyalty, and brand differentiation, thereby achieving market share growth and profitability.

BOVC involves several key industries, including consumer goods (fast-moving consumer goods, fashion and apparel), electronics and technology (smartphones, home appliances), automotive (passenger vehicles, commercial vehicles), hospitality and tourism (hotel chains, travel agencies), food and entertainment (restaurant chains, entertainment industry), and financial services (banking, insurance), etc.

This term has gradually formed through interdisciplinary studies in fields such as brand management theory, reflecting the important position of brands in the modern economy.

In the field of BOVC, let’s explore how Generative AI is transforming innovation, promotion, consumer engagement, and contract management for BOVC companies, enabling them to remain competitive in a rapidly evolving market.

1. Innovation Management (Innovation Management)

Explore how Generative AI is revolutionizing innovation management, allowing BOVC companies to discover new opportunities beyond traditional R&D processes.

• Open Innovation (Open Innovation): Despite proven methods, 40% of new products still fail. BOVC companies need better tools to identify and evaluate opportunities outside traditional R&D to improve the innovation funnel.
• Digital Knowledge Base (Digital Knowledge Base): By analyzing unstructured data on social media, BOVC companies can better understand unmet consumer needs and discover new market opportunities.

• Collaborative New Product Development Collaboration (Collaborative New Product Development): Many BOVC companies struggle with cross-functional collaboration, often due to incompatible data sources. AI helps organize and analyze data for more effective innovation.

2. Promotion Management (Trade Promotion Management)

Learn how AI enhances promotions by improving consistency between marketing and sales, optimizing performance through real-time adjustments.

• Seamless Trade & Consumer (Seamless Trade & Consumer): AI makes it easier to optimize promotions in marketing and sales by aligning planning and historical event data to improve execution efficiency.

• Trade Promotion Optimization (Trade Promotion Optimization): AI tracks sales data, customer sentiment, and competitor activities, helping BOVC companies adjust offers in real-time for more effective promotions.

3. Consumer Engagement (Consumer Engagement)

Explore how Generative AI deepens consumer interactions, gathers feedback, and uncovers new consumer needs to enhance brand relationships.

• Consumer Product Feedback (Consumer Product Feedback): AI-driven brand applications facilitate deeper consumer interactions, capturing feedback on product attributes and future innovations.

• Consumer Demand & Inventory Insights (Consumer Demand & Inventory Insights): By listening to consumer conversations across different platforms, AI provides insights into demand trends, helping companies manage inventory changes.

4. Contract Manufacturing ( (Contract Manufacturing)

Learn how AI transforms contract management through process digitalization, streamlined change management, and analysis of service agreements.

• Contract Creation & Change Management (Contract Creation & Change Management): AI supports contract creation by simplifying language processing, making it easier for teams to generate, review, and update contracts.
• Contract Analysis/Risk & Spend (Contract Analysis/Risk & Spend): By combining structured and unstructured data, AI evaluates contract risks, suggests changes, and assesses spending patterns.

• Service Level Agreement (SLA) Insights (Service Level Agreement (SLA) Insights): AI helps companies assess SLAs by analyzing large datasets, optimizing vendor performance, and managing costs.

(To be continued)

The Hero’s Note:

The future is a time for humans and intelligent agents to dance together.

The future is a time for achieving the ultimate in a “human-centered” production and life.

The future is on the way.

If you are interested in the views mentioned in the article, hope to learn and apply them in your company, and wish to further study on the path of digitalization to intelligence transformation, establishing personal and corporate consensus on the digital intelligence era, building business leadership for individuals and organizations, please follow the public account below to get information about the “Digital Transformation and Innovation Management VeriSM International Certification Course and other related course information.

The Hero has partnered with the well-known examination service organization in the IT field, EXIN (International Examination Association for Information Science) and the internationally leading organization in the AI field, BCS (British Computer Society), to jointly release the AI instructor certification. Based on extensive training and consulting experience in digital transformation across industries, the Hero has collaborated with EXIN to create a newly upgraded AI course – “EXIN BCS AI Essentials“, if you wish to further understand the essence of AI’s business value, and access the specific competitive strategies and innovative business practices of global TOP AI companies, you are welcome to register for participation, directly scan the QR code at the beginning of the article and leave a message to the Hero on WeChat!

This course is particularly suitable for individuals with non-IT technical backgrounds in business management, project management, and functional management. If you are not interested in tool-based courses aimed at the general public using GenAI for graphics and PPT creation, or algorithm courses aimed at technical personnel, but wish to truly grasp the business value of AI and understand how to leverage AI to empower business outcomes from the perspectives of companies, organizations, and businesses, then this course is very suitable for you, and it may be the only course on the market positioned this way so far. We hope you become a learning pioneer in this direction!

Alright! That’s all for this issue! See you next time!

Heroic Journey Column: Professional perspective, popular language, interpreting the technology dynamics in the Jianghu.