Retail Allocation Monitoring: Optimizing SOH & EMT

Retail Allocation Monitoring: SOH & EMT

Optimizing Inventory Flow, Availability, and Store Performance

• Balances supply across diverse store locations
• Maximizes sales potential by placing stock where demand exists
• Minimizes lost sales due to out-of-stocks
• Optimizes capital tied up in inventory
• Crucial link between warehouse availability and customer satisfaction

Definition (SOH) Stock-on-Hand (SOH) represents the physical inventory currently available at a specific location, ready for sale or transfer to fulfill customer demand.

Why It Matters Accurate SOH data is the foundation of retail intelligence. It allows planners to identify imbalances, prevent stockouts, and avoid overstocking in low-performing locations.

• Identify Stock Imbalances: Compare SOH with target stock levels to highlight surplus or deficiency.
• Optimize Availability: Ensure key products are present where demand occurs.
• Actionable Insights: Trigger automated replenishment or inter-store transfers.
• Margin Protection: Reduce markdowns in overstocked areas and lost sales in understocked ones.

• Current Stock (SOH): Displays live quantity across stores.
• Sales Velocity: Indicates daily run rate for the product.
• Stock Cover Days: Calculated as (SOH / Average Daily Sales).
• Action Indicator: Highlights products with < 7 days cover for immediate reorder.

Valid Inventory (Healthy) Inventory is sufficient to meet forecasted demand for a defined future period. It supports sales continuity without excessive carrying costs. Indicators: Cover 14-30 days.

Invalid Inventory (Risk) Inventory levels are outside the optimal range. Either too low (out-of-stock risk) or too high (overstock risk). Indicators: Cover < 7 days or > 60 days.

• Standardized operational dashboard to track weekly inventory movement.
• Unified view of SOH, Sales, and replenishment status.
• Cross-functional visibility between Supply Chain and Store Ops.
• Allows for rapid intervention in out-of-stock or overstocked items.

• Stores categorized by size (Small, Medium, Large).
• Variety depth assigned per category tier.
• Alignment: Ensuring the right mix of styles, sizes, and colors based on store sales data.
• Goal: Maximize customer satisfaction by aligning product variety with local market demand.

Freshness Explained Freshness tracking ensures products are sold within their shelf-life period. It monitors the age of stock in store to prevent waste, shrinkage, and quality degradation.

Chart Concept (Age Profile) Bar chart displaying stock quantity grouped by weeks on shelf (e.g., < 2 weeks, 2-4 weeks, > 4 weeks). Identifies aging stock needing immediate promotion.

• Improved Stock Turn: Faster movement through replenishment cycles.
• Waste Reduction: Better visibility allows for proactive rotation.
• Improved Customer Perception: Fresh products always available on the shelf.
• Data-Driven Reordering: Aligning IT-UP dispatch with actual store depletion rates.

• Top Row: Key Metrics (Availability %, Lost Sales, Total Stock).
• Middle Row: Performance by Region/Store.
• Bottom Row: Alerts (e.g., Low stock in high-traffic stores).
• Goal: Rapid identification of potential issues.

Business Impact Summary: Driving Value through Monitoring

Effective allocation transforms supply chain data into competitive advantage. Consistent monitoring drives sales, optimizes costs, and elevates customer experience.