Xishang· Chongwu Fishery City Aquatic Products Trading Center Project, with a building area of 57178.57 square meters. Including retail commercial space of 25070.1 square meters, wholesale market of 23398.12 square meters, property management space (retail commercial) of 78.85 square meters, property management space (wholesale market) of 516.27 square meters, and public facilities of 1772.1 square meters; Excluding a construction area of 6343.13 square meters, including basements, public corridors, elevated passages on the ground floor, and property management buildings (retail and commercial).

Our company has tailored a fishery digital trading platform for this project, utilizing modern information technology to digitize the production, management, sales, and other aspects of the fishery industry. We have built a comprehensive platform that integrates information release, transaction matching, supply chain management, financial services, and other functions. This platform integrates upstream and downstream information of the industrial chain to achieve rapid matching and efficient docking of supply and demand information, improve fishery production efficiency, reduce transaction costs, optimize resource allocation, and promote the transformation and upgrading of the fishery industry.

AI+Asset Full Cycle Simulation
We use digital twin technology to construct a high-precision virtual model of physical assets, combined with AI algorithms to achieve intelligent asset value and risk assessment. The system first utilizes 3D modeling, IoT sensors, and real-time data collection to establish a digital twin model that fully corresponds to physical assets, ensuring dynamic mapping of operational status. Based on this, AI algorithms analyze historical and real-time data, including equipment performance, environmental factors, market trends, etc., and predict asset remaining life, potential failures, and maintenance costs through machine learning.

AI+Market Dynamics Modeling and Forecasting
AI integrates historical transaction data, consumption trends, seasonal factors, and climate variables to construct a demand forecasting model, accurately predicting short-term/long-term market demand for different aquatic products, and assisting trading centers in dynamically adjusting procurement plans and inventory strategies.
Utilize machine learning to analyze market supply and demand relationships, competitor pricing, and cost changes, generate real-time pricing recommendations, and enhance the profit margin and competitiveness of trading centers.

AI+supply chain collaboration and risk management
1. Logistics efficiency improvement‌
AI combined with IoT devices tracks the status of cold chain transportation (such as temperature and humidity), predicts transportation delay risks, optimizes delivery routes, reduces losses, and ensures product freshness.
‌ 2. Quality traceability and compliance management‌
By using blockchain and AI image recognition technology, the entire process data of aquatic products from breeding to trading (such as quarantine results and breeding environment) is automatically recorded to ensure compliance and enhance consumer trust.

Establishment of AI+Customer Propensity Model
Build a virtual model of customer behavior through AI digital twin technology, and achieve accurate mapping and prediction of customer dynamic behavior through multi-dimensional data collection and deep algorithm modeling. Firstly, integrate structured and unstructured data such as transaction records, browsing trajectories, social interactions, and customer service conversations, and use neural networks and clustering algorithms to analyze customer preferences, decision logic, and demand evolution patterns, forming a dynamic digital portrait that includes consumption habits, risk tolerance, service demands, and other elements.

BRSE utilizes a trading platform that combines big data and AI technology to intelligently match supply and demand sides, improving transaction efficiency and success rate; Real time monitoring of inventory status through intelligent data, optimizing inventory structure, and reducing inventory backlog; We also cooperate with financial institutions to provide financing services for fishermen and buyers, solve the problem of capital shortage, and promote the sustainable development of fishery production.