Making Liquid Storage Assets Trustworthy

SinoChem’s subsidiary, 66Yunlian, explains how its AI system for liquid asset management is making risk management easier for lenders Liquid bulk commodities such as crude oil, refined products, and chemical liquids have long been considered ‘unsuitable collateral’ due to their homogeneous and co-mingled nature. Globally, the sector faces three main challenges: • Lack of visibility and weak title certainty: Warehouse receipts and cargo ownership are hard to match, leaving property rights ambiguous. • Static data, slow response: Manual spot checks or occasional readings only provide snapshot data, insufficient for dynamic risk control. • Fragile trust: Financial institutions cannot perceive collateral in real time, creating risks of double-pledging and undermining credit confidence. From southeast Asian chemical terminals to large European tank farms, these structural issues persist, leaving liquid assets trapped in a long-standing trust gap between the storage industry and financial institutions. A Digital Identity Against this backdrop, 66Yunlian launched Xiao Liuzi, an AI-powered asset management system for liquid commodities. Combining sensors, algorithms, and...