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Intelligent Traceability Full-Cycle Visible

2025-11-25

The platform launched an intelligent product traceability system, generating a unique blockchain traceability code. It integrates data throughout production, transportation and use, supports code scanning to view immutable data, warns of abnormalities, and is expected to reduce quality disputes by 65% and enhance buyer trust.

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Industrial Big Data Precise Decision

2025-11-25

Launched in September 2025, the platform's industrial big data insight module integrates tens of millions of procurement data from the past three years, generates multi-dimensional dynamic reports and supports customized queries, providing manufacturers with decision-making basis such as market demand and prices. In the first month of launch, 60% of manufacturers using it saw an increase of more than 30% in inquiries in target markets.

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Intelligent Alert Cross-border Risk

2025-11-25

Launched in August 2025, the platform's intelligent risk early warning system can track information such as policies and exchange rates in more than 120 countries worldwide. It establishes a three-level early warning for 15 core risks, pushes warnings and solutions within 30 minutes, predicts policy risks 7-15 days in advance with an accuracy rate of 89%, filling the risk control gap for small and medium-sized manufacturers.

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Multilingual AI Precise Translation

2025-11-25

The platform launched an intelligent interaction system covering 18 core trade languages, with a built-in lexicon of more than 2,000 construction machinery professional terms. It can accurately parse semantics and generate adaptive reply templates based on scenarios. 24/7 response shortens inquiry processing time from 2 hours to 15 minutes, increasing efficiency by over 60%.

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AI Matching 3.0 Demand Prediction

2025-11-25

The platform's AI intelligent matching engine has been upgraded to Version 3.0, integrating large models and industrial knowledge bases. It adds an in-depth procurement scenario analysis function, which accurately predicts needs through buyers' multi-dimensional data, increasing the matching success rate by 42% and shortening the docking cycle from 48 hours to 12 hours.

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