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Industry coverage from 商业洞察.
Traditional retail planning operates on seasonal cycles, but consumer trends driven by social media have made demand fragmented and unpredictable. This article explores how retailers can integrate internal and external signals through unified data platforms and AI, shifting from reactive to proactive planning to build long-term competitiveness.
In-depth analysis of how Google's self-improving AI model reshapes the global AI competitive landscape, and its impact on Google's long-term corporate strategy, organizational structure, and business model.
The 2026 SCS Annual Meeting reveals three major strategic shifts in the cosmetics industry: AI accelerates formula development, skin barrier health is elevated as a new long-term anti-aging paradigm, and ethical testing replaces animal experimentation. This article interprets from a global business perspective how these trends are reshaping corporate R&D, governance, and competitiveness.
This article analyzes how AI agent browsers and generative engine optimization shift retail competition from front-end interfaces to structured data pipelines, revealing the strategic logic behind $388 billion in retail technology spending.
McKinsey research shows that despite a challenging consumer environment, European e-commerce will still grow at an average annual rate of 6%. AI is evolving from a tool into a core driver, triggering five major changes that reshape retail strategy and competitive landscape.
Only 16% of hotels appear in AI recommendations, and the ranking threshold has increased by 25% in a quarter. AI is becoming a new gatekeeper of demand in the hotel industry, and hotel brands need to rethink their competitive strategies.
Despite AI's potential to transform knowledge-intensive industries, economic consulting faces unique structural, institutional, and economic barriers that will slow adoption. This article analyzes why market expectations of rapid disruption are misplaced and what the industry's realistic path forward looks like.
Google and Amazon are pushing product search from keyword matching toward large-model-based intent recognition. This is not only changing how consumers discover and buy products, but also means that the focus of competition among retailers, brands, and platforms is shifting from “who owns traffic” to “who better understands user intent, data structures, and distribution efficiency.”