Under the background of the development of digital intelligence economy and the country's promotion of digital intelligence upgrading of traditional industries, the logistics industry is facing the efficiency bottleneck of the traditional model, and it is urgent to respond to changes in market demand and industry competition through digital intelligence transformation. This article takes Shun Feng Express (SF) as a case, and uses the case study method to explore its digital intelligence transformation path and its impact on enterprise performance. The study found that SF Express has solved the pain points of the industry such as decision-making lag through the transformation of integration, digital intelligence, informatization and intelligent globalization, and achieved a double improvement in financial and customer-level performance: revenue and net profit grew steadily, new business expansion achieved remarkable results, customer satisfaction continued to lead, and the cooperation penetration rate of head enterprises was high. The core of its transformation lies in the upgrading of technical roles, in-depth coordination of software and hardware, and the development model of technology reinvigorating enterprises. This research enriches the theoretical cases of the digital and intelligent transformation of the logistics industry, provides practical reference for the transformation of logistics enterprises, and also provides reference ideas for the digital and intelligent upgrading of traditional industries.

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Under the background of the national strategy of the integration of artificial intelligence and real economy, financial digital-intelligent transformation has become imminent for traditional manufacturing enterprises. By conducting a case study of Sichuan Changhong, this paper investigates how the "Artificial Intelligence+" (AI+) strategy shapes the mechanisms and pathways underlying financial digital intelligence transformation in manufacturing companies. Empirical evidence from the case reveals that enterprise-wide digital and intelligent transformation is fundamentally propelled by financial digital intelligence. The evolution of "AI + finance" unfolds progressively, shifting from operational process automation to intelligent decision-making, which can only be achieved through integrated alignment among technology, organizational structure, and corporate strategy. Changhong has embedded AI into the core scenario of expense reimbursement, and achieved cost reduction and efficiency increase through intelligent order creation, approval and data analysis. The financial function has shifted from accounting to strategic, and the period expense ratio has decreased, and ROE and other profit indicators have steadily improved. This study explores the feasible path of "AI + finance" for traditional large enterprises, provides practical reference for the transformation of similar enterprises, and enriches the case studies in related fields.

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In recent years, China's retail industry has undergone rapid transformation. Against the backdrop of weak growth in mass retail, membership-based retail has achieved counter-trend growth through efficient operational models. The differences in supply chain and operational models between the two formats directly shape the competitive landscape of the retail industry. This article takes RT-Mart and Sam's Club as examples to deeply compare the supply chain models and profit performance of traditional hypermarkets and warehouse-style membership stores. This study finds that the two retailers embody the characteristics of two distinct supply chain models: breadth-oriented coverage and depth-oriented efficiency. RT-Mart relies on a massive number of SKUs and distributor channels, with a long supply chain, slow inventory turnover, and high costs. Sam has achieved low loss, high turnover, and high added value through streamlined product selection, global direct procurement, and deep collaboration. Efficiency differences directly lead to profit differentiation, with Sam's leading in scale and profit through membership-based and high gross profit operations, while RT-Mart faces significant pressure under free membership and low gross profit models.

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In the context of cultural collaboration in the Guangdong-Hong Kong-Macao Greater Bay Area and the cross-border dissemination of large-scale event IPs, how the event mascots can stimulate audience emotional identification through cultural integration design and thereby influence the attitude towards the city brand has become an important theoretical and practical issue. The existing research lacks empirical verification of the mediating mechanism of "cultural integration design → emotional identification → city brand attitude". Therefore, this study takes the mascot of the 15th National Games, "Xiahangyang, Leirongrong", as the object, based on brand aesthetics theory, cultural three-level theory and emotional identification theory, to construct a relationship model. The results show that cultural integration design has a significant positive impact on the city brand attitude; emotional identification plays a partial mediating role in it. The research has revealed the intrinsic mechanism by which event mascots influence the attitude towards city brands, providing empirical support for the Guangdong-Hong Kong-Macao Greater Bay Area to leverage cultural ips to consolidate collective emotions and enhance brand recognition. It also offers practical references for the emotional design and long-term operation of cross-regional event mascots.

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