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Work item:
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F.IMSS-AI
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Subject/title:
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Framework and Requirements of Intelligent Marketing Service System based on AI
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Status:
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Under study
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Approval process:
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TAP
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Type of work item:
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Recommendation
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Version:
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New
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Equivalent number:
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-
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Timing:
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2027-08 (Medium priority)
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Liaison:
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ITU-T SG13
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Supporting members:
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State Grid Corporation of China, China Academy of Information and Communications Technology(CAICT)
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Summary:
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The business knowledge of marketing service is fragmented and highly specialized, with key knowledge dispersed among experienced personnel. Additionally, existing AI applications in marketing system often adopt independent architectures, leading to fragmented capabilities within the system. The inability to collaborate across different marketing service applications and the lack of cross-application data interoperability have become significant issues.
Different from traditional single marketing systems, Intelligent Marketing Service System based on AI is applied to enhance the intelligent processing efficiency of business for a wide range of industries but not any particular one. This Recommendation focuses on the Intelligent Marketing Service System, provides framework and requirements of the system, and standardizes various inputs, AI technologies and applications in marketing service domain. These requirements include descriptions of the system framework, functional requirements, and performance requirements. The inputs layer is required to support the reception of various types of input. All the inputs are required to be approved. The services layer is required to integrate AI technologies to cooperate with each other. The applications layer is required to include both professional and general assistants to achieve intelligent functions across all scenarios of marketing service. The functional and performance requirements of the system are also clarified to provide guideline for developing such systems.
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Comment:
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-
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Reference(s):
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Historic references:
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Contact(s):
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First registration in the WP:
2025-11-17 13:50:13
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Last update:
2025-11-25 17:16:01
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