此外，为打破开锁服务价格不透明等"老大难"问题，美团App上线开锁行业AI咨询入口，用户下单前可 向AI售前咨询，了解门锁类型、收费标准等信息。同时，平台还将在商户线上页面、团购详情页，通 过AI普及行业知识、专业名词，帮消费者了解开锁价格和服务流程的概况。 多位行业内人士指出，开锁是消费者的民生刚需服务，此次在警方指导下，通过"线上监管 + 技术创 新"模式，不仅满足了消费者的需求，同时为传统特种行业探索出一条健康可持续发展的路径，将推动 开锁行业从"价格战"转向"服务战"，真正通过标准化服务流程与透明化收费体系，让消费者放心下单。 平台的这一创新举措，进一步优化了本地营商环境，为民营经济发展保驾护航。 美团服务零售易生活相关负责人表示，开锁行业是非常传统的便民服务，线上化转型难、挑战大，此次 在大连的试点运营经验将被推广至全国更多城市。美团希望通过平台的产品能力、数据积淀和AI领域 的前沿实践，为消费者提供更加靠谱、放心的服务体验，帮传统行业的商家通过线上化转型，更好完善 服务履约保障体系和信用体系，持续推动便民生活服务高质量发展。 日前，美团在大连警方指导下启动开锁行业专项服务治理试点，通过提升开锁商户 ...

Core Insights - The article emphasizes that the impact of artificial intelligence (AI) is not a temporary trend but a fundamental shift in how businesses operate, creating a significant market opportunity for AI consulting services [1][5] - There is a notable gap in the market for consulting services that can effectively guide companies through their AI transformation, as many organizations struggle with the complexities of implementing AI [2][5] Group 1: Challenges Faced by Companies - Companies are falling into four major "capability traps" when trying to adopt AI: cognitive, technical, data, and organizational traps [3][4] - The cognitive trap involves a lack of understanding of AI's commercial value, leading to poorly focused strategies and wasted resources [3] - The technical trap refers to indecision between buying and building AI solutions, causing delays and missed market opportunities [3] - The data trap highlights the issue of poor data quality and accessibility, which hampers effective AI implementation [4] - The organizational trap involves resistance to change within teams, making it difficult to integrate AI solutions effectively [4] Group 2: The Role of Existing Giants - Traditional consulting firms like McKinsey and Accenture are seen as strategic architects but lack the hands-on technical expertise needed for AI implementation [4] - Tech giants like Google and Microsoft provide powerful tools but often prioritize their own products, limiting their ability to offer unbiased advice [4][5] Group 3: Proposed AI Consulting Model - The proposed AI consulting model involves a four-step process: diagnosis, pilot projects, neutral technology selection, and ongoing empowerment of the organization [6][12] - The first step is to conduct a thorough "AI opportunity audit" to identify high-value use cases for AI within the organization [7][8] - The second step focuses on initiating a "lighthouse project" that demonstrates quick wins and builds confidence in AI [9][10] - The third step involves acting as a neutral technology buyer to ensure the best solutions are chosen based on specific business needs [11][12] - The final step emphasizes continuous training and cultural change to ensure the organization can sustain and evolve its AI capabilities [12] Group 4: Future of AI Consulting - The future of AI consulting is expected to evolve from traditional hourly billing to value-based pricing models, aligning the consultant's success with the client's outcomes [16] - The article predicts a competitive landscape where new, agile AI consulting firms can thrive by focusing on niche markets and building strong talent pools [18] - The emphasis is on creating a collaborative ecosystem that leverages partnerships with universities, startups, and other experts to provide comprehensive solutions [18]