Radio Frequency Identification (RFID) technology has long been a core standard for enabling real-time visual management of assets. From warehouse inventory and logistics tracking to asset monitoring, its precise identification capabilities provide reliable support for enterprises to grasp asset dynamics in real-time. However, as application scenarios continue to expand and deployment scales increase, read events can reach billions, generating massive amounts of raw data. This often plunges enterprises into the dilemma of “data overload” – fragmented and complex information that makes it difficult to quickly extract actionable value.

In reality, the true power of RFID technology lies not merely in data collection itself, but in the business insights hidden within the data. This is precisely the core value of Artificial Intelligence (AI): it can transform basic identification events, such as “a tag being read,” into precise insights that drive business optimization. It enables the accumulated vast data to truly become an “invisible assistant” for enterprise decision-making.

AI’s deep integration with intelligent IoT hardware, such as high-performance RFID modules, combined with the global proliferation of RFID standards, is injecting powerful momentum into operational optimization across industries like retail, logistics, manufacturing, and healthcare. Industry transformation is already underway; we are stepping into a new era of intelligent automation: Ultra-High Frequency (UHF) RFID technology acts as the “eyes,” accurately sensing asset dynamics and capturing core data, while Artificial Intelligence serves as the “brain,” deeply analyzing data value and driving scientific decision-making.