Background
HAZZYS faces challenges including opaque production schedules leading to new product launch delays, costly and inefficient traditional traceability methods, and insufficient lean management practices. Furthermore, its warehouse inventory management relies on manual processes, such as manual record-keeping and physical inventory counts, resulting in low efficiency, error-prone data, and an inability to achieve real-time synchronization and integration of inventory information, negatively impacting sales performance and customer experience.
Business Challenges
Lack of Production Visibility: The absence of real-time data tracking in factory processes leads to packing errors (shortages and incorrect codes), delaying new product launches and impacting market competitiveness.
Prohibitively High Traceability Costs: Traditional traceability methods require significant investment in labor and resources, while data accuracy remains questionable, failing to meet traceability demands.
Insufficient Lean Management: Inventory management relies on manual experience and gut feeling for replenishment, lacking data-driven decision support, resulting in slow-moving inventory accumulation and tying up significant warehouse space and capital.
Solution
Real-time Production Progress Monitoring
RFID technology is used in the factory packing process. Each item is assigned a unique code, linking the order number and production batch information. RFID devices collect packing data in real-time, enabling warehouses to schedule deliveries and optimize warehouse resource allocation.
Low-Cost, Efficient Traceability
Each product's RFID tag is linked to a globally unique identifier, associating it with traceability information such as raw material procurement, production processes, and quality inspection reports. Customers can scan the tag to view complete supply chain traceability information, with data accuracy improving to 99.9%.
Data-Driven Lean Management
The RFID system collects real-time product data across the entire supply chain – factory, warehouse, and retail store. This eliminates reliance on intuition and experience-based decision-making, improving inventory turnover efficiency.
Impact&Results
Significant improvement in turnover efficiency
Packing efficiency increased by over 30%
Inventory accuracy exceeds 99.9%
Far surpassing traditional barcode systems
Demand forecasting based on RFID data
Accelerated allocation of off-season merchandise
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