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QR Code for Storage Location Management ​

Original article: https://cli.im/article/detail/1918

When implementing digital management for our restaurant warehouse, I encountered data collection challenges. We aim to upgrade traditional manual record-keeping by establishing a QR code-based storage location management system. This solution will eliminate month-end reconciliation needs and integrate with operational metrics to enhance inventory visibility. All staff will follow "scan-when-taking" and "scan-when-stocking" protocols, enabling real-time tracking of monthly inbound value, outbound consumption, and current inventory value. This data will facilitate monthly analysis of departmental usage patterns.

Creating and Implementing Storage QR Codes ​

Assign one QR code per item type using bulk templates generation. Print generated codes as tags and attach them to corresponding goods.

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  • Scan for Inbound: Track monthly inbound value, responsible personnel, and staff productivity metrics
  • Scan for Outbound: Monitor monthly consumption value, department usage patterns, and workflow efficiency
  • Replenishment Alert: While CaoLiao currently lacks real-time inventory tracking and auto-replenishment features, manual QR code scanning enables basic replenishment requests
  • Monthly Inventory Check: Identifies overstock situations, stagnant inventory, and underutilized items

Core implementation process:

  1. Data collection via QR code scans
  2. Data integration through BDP platform
  3. Analytical review of inventory turnover rates
  4. Staff meetings to address issues like item-specific overstock and departmental workload imbalances

Post-implementation benefits:

  • Eliminates physical inventory checks for replenishment decisions
  • Enables replenishment planning through scan history analysis in QR code backend

Feature Enhancement Suggestions ​

  1. Real-Time Statistics: Implement dashboard showing current inventory levels
  2. Auto-Replenishment Triggers: Configure threshold-based alerts for specific item categories (e.g., condiments, bulk frozen ingredients, kitchenware)
  3. Consumption Tracking: Add functionality to monitor depletion rates of quantity-based items
  4. Predictive Analytics: Develop usage pattern forecasting to optimize procurement

Current workflow limitations require manual review of scan records for replenishment planning. Automated alerts when items reach predefined thresholds would significantly improve operational efficiency.