Strength Leads the Way! DingTalk x EMS Logistics Selected as Best Practice in IDC Low-Code Report

Recently, IDC released its report titled "Building a Corporate Low-Code Development System: A Guide." With its leading "low-code+AI" products and matured solutions, DingTalk was selected as a representative vendor. Moreover, the "low-code+AI" case of EGS Logistics was included in the report as a best industry practice.

Earlier this year in July, DingTalk was listed as a representative vendor in IDC's "China Low-Code Development Platform Technology Assessment, 2024" and "Generative AI + Low-Code: Exploring the Next Generation Development Paradigm." The reports indicated that DingTalk has the strongest low-code capabilities nationwide and the highest AI integration. The inclusion of the DingTalk X EGS Logistics best practice further proves that DingTalk not only possesses leading product capabilities but has also accumulated abundant industry implementation and service experience.

The report notes that with deeper adoption of low-code development platforms, enterprises are also building their own low-code development systems. This is not merely a technological upgrade but entails comprehensive organizational, process, and cultural transformations aimed at maximizing the potential of low-code platforms, thereby driving enterprises toward greater intelligence and agility.

Taking EGS Logistics as an example, its rapid global business growth has triggered a surge in digital requirements, particularly in key operational scenarios such as logistics pricing and order management.

By adopting DingTalk's low-code application platform, EGS Logistics significantly accelerated the development of its business systems—it now requires only one-fifth of the workforce compared to traditional development methods. Within just one week, EGS Logistics successfully built a CRM-like sales management system using the platform, achieving comprehensive order lifecycle management from pre-sales to after-sales. The system was also made available to other small and medium-sized logistics companies as a SaaS service, resolving the industry-wide challenge of efficiently managing orders.

The report further states that the in-depth application of low-code can enhance enterprises' digital capabilities, covering many long-tail digital scenarios, though coverage remains insufficient. The emergence of generative AI brings new opportunities for more scenarios. The integration of low-code platforms with generative AI is fundamentally reshaping the landscape of application development by lowering technical barriers, improving development efficiency, and enabling smarter, more humanized application development.

EGS Logistics has also integrated DingTalk AI's capabilities into its proprietary ERP system, enabling intelligent transformation.

Leveraging DingTalk AI, EGS Logistics consolidated data from thousands of international logistics and shipping companies, providing up-to-date real-time freight pricing, while employing AI assistance for customized and immediate responses. When faced with customer inquiries, sales representatives now simply ask the AI assistant, instantly matching them with precise freight prices from vast datasets. It automatically generates shareable custom pricing quotes, completely replacing the previous manual quoting process, thus doubling the efficiency of pricing and the user experience.

IDC believes that in the process of enterprise digitization, there is a massive demand for long-tail scenarios related to organizational governance and business operations that standard software products cannot meet. This challenge can be addressed through low-code and AI technologies. Platforms like DingTalk, which represent future digital development, along with their "low-code+AI" development tools, can deeply embed AI into actual software and business flows. Based on low-code-built, digitally native products, the added ability of AI assistants enables productivity evolution through a combination of business personalization and data intelligence, making large AI models truly productive.

Currently, DingTalk's low-code and AI solutions have been widely adopted across multiple industries, including manufacturing, energy, retail, construction materials, healthcare, and more, receiving high recognition from leading customers such as China FAW Group Corporation, Contemporary Amperex Technology Co. Limited (CATL), Mengniu Group, Sungrow Power Supply, AWINIC, Zhejiang University, Youngor, Shanghai Mitsubishi Elevator, and Cancer Center of Sun Yat-sen University. In the future, DingTalk will continue to promote product innovation and real-scenario implementations, meeting the increasing needs and challenges in enterprise digitization while driving higher levels of organizational and business development across industries.