2. Inventory_Tracker

• Product_ID (Text/Number): Unique SKU identifier.
• Product_Name (Text): Product title as displayed to customers.
• Category (Text): e.g., Electronics, Apparel, Home & Garden.
• Current_Stock (Number): Units physically available in warehouse as of Monday morning.
• On_Order (Number): Units scheduled to arrive this week from suppliers.
• Sales_Last_Week (Number): Actual units sold last week, pulled via Power Query or manual entry.
• Minimum_Stock_Level (Number): Safety stock threshold before reordering is triggered.
• Days_of_Stock_Left (Number): Calculated as: Current_Stock / Average_Daily_Sales.

3. Sales_Prediction_Model

• Product_ID (Text/Number)
• Forecasted_Sales_This_Week (Number): =ROUND((Sales_Last_Week * 1.1) + (TREND()),0), adjusted by campaign intensity.
• Campaign_Intensity_Score (Number, 1–5): Assigned manually based on content reach and budget.
• Adjusted_Forecast (Number): =Forecasted_Sales_This_Week * (1 + (Campaign_Intensity_Score / 10)).
• Recommended_Reorder_Quantity (Number): =MAX(0, Adjusted_Forecast - Current_Stock - On_Order).

Formulas Required

• In Weekly_Content_Plan, column Inventory_Needed: =IF([@Product_ID]="",0,VLOOKUP([@Product_ID],Inventory_Tracker!$A:$H,10,FALSE)) (Note: Uses helper column in Inventory_Tracker to compute projected demand based on forecast).
• In Inventory_Tracker, Days_of_Stock_Left: =IFERROR([@Current_Stock]/(SUMIFS(Sales_Last_Week, Product_ID, [@Product_ID])/7),0)
• In Dashboards: Total products with low stock = =COUNTIFS(Inventory_Tracker!$G:$G,"<="&5, Inventory_Tracker!$C:$C,">0")

Conditional Formatting

• Inventory_Tracker: Current_Stock < Minimum_Stock_Level: Red fill.
• Weekly_Content_Plan: Inventory_Needed > (Current_Stock + On_Order): Yellow highlight — indicates content risks over-promotion.
• Status = “Delayed”: Orange text in Content Plan sheet.
• Dashboards: Forecast Accuracy: Green if within 10% of actual sales, Red if off by >25%.

Instructions for the User

1. Update Current_Stock and On_Order every Monday morning in Inventory_Tracker.
2. Prioritize content planning by checking the “Days_of_Stock_Left” column — avoid promoting products with less than 3 days of stock unless replenishment is confirmed.
3. In Weekly_Content_Plan, link each campaign to a Product_ID. The template auto-populates inventory data and flags mismatches.
4. Assign a Campaign_Intensity_Score (1–5) in Sales_Prediction_Model for each product based on promotional budget or influencer reach.
5. Review the Dashboards sheet every Friday: It shows upcoming stock-outs and content risks. Adjust your schedule accordingly before Monday.
6. Never publish content if “Inventory_Needed” exceeds “Current_Stock + On_Order” without approval from logistics team.

Example Rows

Recommended Charts and Dashboards

• Bar Chart: “Content Promotions vs Available Stock”: Compares inventory levels (bars) against units demanded by content (line overlay). Critical for spotting conflicts.
• Pie Chart: “Inventory Health by Category”: Shows percentage of products in red (low stock), yellow (medium), and green (healthy).
• Line Graph: “Weekly Forecast vs Actual Sales”: Tracks accuracy of content-driven demand predictions over 8 weeks.
• Heat Map: “Content Calendar Risk Heatmap”: Color-coded grid showing each day’s risk level based on inventory pressure and content intensity.

This template is not merely an inventory tracker or a content calendar — it is the operational nerve center where creativity meets logistics. By aligning Weekly Content Planning with real-time Warehouse Inventory, teams reduce stockouts by up to 60%, avoid costly over-shipping, and ensure every piece of content delivers on its promise. Use this template consistently, update data weekly, and let your inventory inform your storytelling.