Technical parameters are vague: 63% of overseas buyers have doubts about the quality of Chinese machinery due to the lack of transparent performance data.
High certification barriers: The certification processes of EU CE and US UL are complicated, and small and medium-sized enterprises take more than 6 months on average.
Low marketing efficiency: Traditional product manuals are difficult to display dynamic working condition data, and the customer decision cycle is as long as 3-6 months.
Solution: Full-dimensional evaluation system drives accurate customer acquisition
Intelligent evaluation system: Full-process verification from laboratory to operation site
Multi-source data collection
IoT real-time monitoring: Deploy industrial-grade sensors to collect equipment operation data (vibration frequency ±0.1Hz, energy consumption error <1%), covering 8 core performance dimensions.
Extreme working condition simulation: Cooperate with SGS laboratory to simulate 20 extreme environments such as -40℃ extreme cold and 85% high humidity, and generate ASTM/EN dual-standard certification reports.
AI in-depth analysis
Fault prediction model: Based on the LSTM algorithm, the equipment life is predicted (such as the bearing wear cycle error <3 days), reducing the customer's after-sales cost by 30%.
Competitive product comparison visualization: Generate a 3D parameter comparison model with one click, supporting multi-dimensional perspective of 12 indicators such as energy consumption and accuracy.
Global certification direct access
Intelligent compliance detection: Enter the target market (such as Southeast Asia/EU), the system automatically matches the certification requirements and generates an improvement list, and the certification cycle is shortened to 15 days.
Blockchain evidence storage: All test reports are stored on the chain, and buyers can scan the code to verify the authenticity, eliminating the risk of certificate forgery.
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