Client Background

HS is a leading enterprise focused on foreign trade business training, dedicated to providing professional training, market insights, and business support for foreign trade enterprise management. Based on the actual pain points of trainees, HS hopes to leverage cutting-edge AI technology to develop intelligent agent systems to assist management decision-making, optimize management processes, and improve team collaboration efficiency.

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Challenges Faced

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Information Overload

Foreign trade industry information updates frequently, and management needs to obtain market dynamics, policy changes, and other key information in real-time, but manual screening is inefficient and difficult to quickly locate core content.

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Management Efficiency Needs Improvement

Lack of systematic data integration and analysis tools, decision-making process overly relies on experience judgment, with subjective bias risks, and difficulty in achieving data-driven scientific decision-making.

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Low Daily Management Efficiency

Management daily schedules and meeting arrangements take up a lot of time, team business progress needs manual tracking, information feedback is lagging, making it difficult to achieve efficient management.

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AI Empowerment Needs

Hope to achieve intelligent assistant functions through AI technology, automate repetitive work, reduce management burden, enabling focus on core business strategic planning.

Project Results

Efficiency Improvement

Information processing time reduced by 70%

Decision response speed improved by 50%

Daily management task automation rate exceeded 80%

Management Optimization

Achieved real-time visualization of team business progress,
reducing manual reporting time

Reduced 25% business risk events through intelligent warning mechanisms

Cost Savings

Reduced 1-2 administrative assistants,
saving 3-4 business assistant labor costs annually

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