Location-Based Replenishment with Store Location Pivot Data
Introduction
This guide is tailored for efficiently managing inventory across multiple store locations using the pivot feature in the Inventory Replenishment Report. The report includes detailed product information and allows for a comprehensive view of reorder quantities across different locations.
Understanding the Report Structure
The report includes the following key columns
Product, SKU: Identifies each product.
Vendor Lead Time: Time taken by the supplier to deliver products.
Safety Stock Days: Buffer stock to prevent stockouts.
Units Sold in Historical Period, Avg Units Sold per Day: Sales data for forecasting.
Quantity On-hand, Incoming Inventory: Current inventory status.
Days of Inventory Remaining: Time until stock runs out.
Reorder Point, Reorder Quantity: Thresholds for reordering.
Unit Cost, Reorder Cost: Financial aspects of inventory.
Location-Specific Reorder Quantity Columns (Location 1, Location 2...): Reorder quantities needed for each location.
Steps for Location-Based Replenishment Using Pivot Data
Accessing and Analyzing the Report
Open the Inventory Replenishment Report.
Focus on the location-specific reorder quantity columns for insights into how much stock each store location needs.
Using the Pivot Feature for Location-Based Analysis
Utilize the pivot functionality to compare reorder quantities across different locations.
This helps in understanding location-specific demand and optimizing inventory distribution.
Evaluating Inventory Needs
Assess 'Days of Inventory Remaining' and 'Reorder Point' for each product at each location.
Use 'Avg Units Sold per Day' and historical sales data to forecast future demand.
Exporting Data for Specific Locations
Export the data, including the pivot tables, for further analysis or to prepare purchase orders.
Tailor the exported data as needed for each location's specific requirements.
Placing Orders and Managing Inventory
Use the analysis to create tailored purchase orders for each location.
Update inventory records based on the orders placed and track the incoming inventory.
Best Practices
Regular Monitoring: Keep track of inventory levels and sales trends at each location to anticipate replenishment needs accurately.
Responsive Reordering: Adjust reorder points and quantities based on up-to-date sales data and location-specific demands.
Collaboration with Store Managers: Engage with local store managers to gain insights into specific needs and customer preferences.
Conclusion
The pivot feature in the Inventory Replenishment Report is an invaluable tool for managing inventory across multiple locations. It simplifies the process of analyzing inventory needs and helps in making informed, location-specific decisions for optimal stock levels and improved customer satisfaction.
Updated on: 12/12/2023
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