AI breaks through inventory financing pain points, turning corporate assets into instant cash flow
For many small and medium-sized enterprises, holding large amounts of raw materials or finished goods yet facing financing difficulties and high costs due to a lack of real estate collateral—this situation is being fundamentally rewritten by technology. At the B-Asset Express service upgrade launch on August 4, 2026, the platform officially introduced an "AI Dynamic Asset Valuation System" based on large language models. This move transforms the inventory pledge process, which previously required on-site manual inspections and repeated price verifications, into a real-time online intelligent risk control loop, historically compressing the approval time for a single financing transaction from the industry average of 3–5 working days to T+0.5 days—meaning same-day application and disbursement within half a day.
As a bridge connecting the supply chains of B-share listed companies with capital providers, B-Asset Express's core mission is to revitalize corporate accounts receivable and inventory. Traditional inventory pledge financing has long been plagued by non-standardized asset appraisal. Due to diverse inventory types, frequent price fluctuations, and difficult warehousing supervision, financial institutions often need to expend significant manpower and resources on offline price verification, leading to lengthy approval cycles. The integration of this AI model means the system can capture commodity trading data, industry supply-demand indices, and financial report data from relevant B-share listed companies via the internet, generating real-time dynamic valuation reports, achieving a leap from "manual estimation" to "algorithmic pricing."
A new "T+0.5" financing ecosystem driven by technology
It is reported that the core of this AI intelligent valuation system lies in its multimodal data processing capability. The system can not only identify inventory lists in corporate ERP systems but also automatically calibrate pledge ratios based on the latest market transaction prices. For example, for common electronic components or chemical raw material inventories in the B-share market, the AI system can track price signals from futures markets and spot trading platforms in real time. Once a price hits the warning line, the system automatically triggers a margin call reminder or alert, significantly reducing credit risk from inventory depreciation.
"Previously, we had to send appraisers to warehouses to take photos, count goods, and write reports; the fastest process took at least three days. Now, enterprises only need to authorize data interfaces on the B-Asset Express terminal, and the AI can complete an asset profile in minutes," said the platform's technical lead during a demonstration. This "T+0.5" ultra-fast financing model is particularly significant for growth-oriented blue-chip companies in the B-share market and their upstream and downstream SME suppliers. It means that when a company receives a large order and urgently needs funds for stockpiling, it can quickly convert existing inventory into working capital, avoiding missed business opportunities due to financing delays.
Revitalizing the B-share supply chain: from accounts receivable to dynamic inventory
Previously, B-Asset Express had achieved notable results in accounts receivable financing by solving the challenge of rights confirmation through blockchain evidence storage technology. This intelligent upgrade of inventory financing further completes the financing landscape for B-class assets. For the commercial retail and manufacturing sectors among B-share blue chips, this efficient capital turnover tool can significantly enhance supply chain resilience. When the upstream and downstream partners of core enterprises can conveniently obtain funds through inventory pledging, the cash flow cycle of the entire ecosystem becomes healthier.
From the perspective of asset liquidation, the AI valuation model solves the biggest obstacle: information asymmetry. In the past, the value of inventory was often heavily discounted in the eyes of banks because they could not accurately grasp the true liquidity and liquidation capacity of the goods. Now, with big data and AI, B-Asset Express can provide capital providers with more transparent and dynamic asset monitoring reports, thereby helping enterprises obtain collateral ratios and credit lines closer to market value.
Steady growth: risk control enhanced by technology
While pursuing fast financing, risk control remains the lifeline of B-Asset Express. The introduction of AI is not about blindly pursuing speed at the expense of stability. On the contrary, through 24/7 uninterrupted market monitoring, the AI system can detect industry-wide risks much earlier than traditional manual methods. For example, if a certain type of electronic product shows signs of a price collapse due to technological iteration, the AI system will immediately downgrade the valuation of that inventory category and suspend related financing operations. This dynamic adjustment capability is difficult for traditional risk control models to match.
For B-share investors, this technological iteration of B-Asset Express reflects the improvement of B-share market infrastructure services. When enterprises can efficiently revitalize assets through technological means, their financial expenses will be effectively controlled, and their balance sheets will be optimized. This logic of balanced growth driven by technology is precisely an important dimension for the current market to explore the long-term growth potential of B-shares. With the deep integration of AI and asset liquidation, B-Asset Express is gradually building an efficient, transparent, and risk-controllable B-class asset circulation ecosystem.
