London Design Silver

2025

Full-Process Smart Digital Ecosystem for Food & Catering

Entrant Company

Hubei Xinhua Catering Management Co., Ltd. - Jiang Juhua

Category

Conceptual Design - Smart Technologies

Client's Name

Country / Region

China

With the core vision of “breaking down data silos and restructuring smart ecological links,” the Full-Process Smart Digital Ecosystem for Food & Catering integrates AI, IoT, and big data analytics to build a digital platform covering the entire catering chain—from ingredient traceability and cold chain warehousing to store operations, marketing, and green management. It enables catering enterprises to upgrade from traditional operations to a fully intelligent, sustainable ecosystem.

The platform introduces a pioneering Catering Data Neural Hub architecture that resolves data fragmentation across traditional standalone systems through a distributed data middle platform. It achieves integration among 11 subsystems, including cloud ordering and cold chain monitoring, and establishes a four-dimensional model of “ingredients, stores, users, and marketing.” This data synergy reduces ingredient waste by 35% and improves data flow efficiency by 80%.

Based on a microservices + API gateway architecture, the platform supports flexible expansion, cross-brand equipment compatibility, and over 98% interoperability, solving the industry’s long-standing “system heterogeneity” problem. The built-in AI Decision-Making Brain leverages machine learning to predict seven-day ingredient demand with 92% accuracy, reducing overstock by 20%. By combining real-time order and traffic data, it optimizes queuing and staff scheduling, increasing table turnover by 40% and reducing waiting time by 50%. Personalized marketing based on user tags boosts conversion rates by 65%.

To address energy consumption and carbon emissions, the system incorporates IoT, blockchain, and carbon footprint tracking to build a green supply chain management module. Blockchain records generate traceable carbon labels, while AI-powered control reduces cold chain energy use by 25% and carbon emissions by 18%. Food waste is reduced by 30%, with carbon footprint data conforming to ISO 14064 standards.

An Omni-Channel Retail Integration Engine unifies dine-in, delivery, and retail channels through a single membership, inventory, and fulfillment system. This boosts repeat purchases by 55%, improves inventory turnover by 60%, and raises fulfillment efficiency by 70%, achieving a 95% user satisfaction rate.

Credits

Chief Designer
Jiang Juhua
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