The Inventory Optimization Prompt allows you to quickly identify stock issues, reorder opportunities, and sales trends directly from your Polar Analytics data using the Polar MCP (Model Connection Protocol).
With this prompt, ecommerce and operations teams can instantly generate a summary of inventory performance, including:
Best-selling products and low-stock alerts.
Overstock or slow-moving items tying up cash flow.
Data-driven reorder recommendations based on sales velocity and stock trends.
By leveraging Polar MCP with this prompt, you can make smarter purchasing and merchandising decisions — ensuring your store always stays in stock on high-performing SKUs while minimizing excess inventory.
In this article, you’ll learn:
How to use the Inventory Optimization Prompt within Polar MCP.
The types of insights it provides.
Best practices for refining results and applying them to your ecommerce operations.
What the Inventory Optimization Prompt Does
The Inventory Optimization Prompt gives you an automated, AI-generated summary of your inventory health based on your Polar workspace data.
When used within Polar MCP (for example, through ChatGPT or Claude), it queries your live inventory, sales, and product performance metrics to create a clear and actionable report.
Example output:
“Your top-selling products this week are the Classic Linen Shirt and Summer Midi Dress. Both are projected to sell out within 10 days based on current sales velocity. You have 12 SKUs overstocked, with a combined value of $38,000 in unsold inventory. Consider pausing ad spend on low-performing items such as the Winter Wool Coat.”
This type of automated summary replaces manual stock reviews and helps you make real-time decisions to improve cash flow, efficiency, and customer satisfaction.
Key insights you can generate:
Products at risk of stockouts due to rapid sales.
Items that are overstocked or underperforming.
Recommendations for inventory reallocation or restocking.
High-demand SKUs to prioritize in campaigns.
How to Use the Inventory Optimization Prompt
You can use the Inventory Optimization Prompt through any AI interface connected to your Polar MCP (e.g., ChatGPT, Claude, or Make).
Step 1. Confirm MCP Setup
Ensure your Polar MCP is installed and authenticated.
MCP Endpoint:
https://api.polaranalytics.com/mcp
Follow this guide if needed: Installing the Polar MCP.
Step 2. Run the Prompt
Copy and paste this example prompt into your AI tool:
Act as an ecommerce inventory analyst. Using my Polar Analytics data, provide a summary of my current inventory performance. Include: - Top-selling SKUs and their current stock levels. - Products at risk of selling out soon. - Overstocks or slow movers. - Reorder recommendations based on sales velocity.
The assistant will query your connected inventory and sales data in Polar and produce a structured summary highlighting immediate actions you can take.
Step 3. Customize for Your Needs
You can modify the prompt to tailor insights for your business. For example:
Add timeframes:
“Analyze inventory trends over the last 30 days.”Add thresholds:
“Highlight items with fewer than 20 units in stock.”Add product filters:
“Focus on best-selling apparel and accessories.”Add financial focus:
“Include potential cash flow recovery from selling excess inventory.”
These refinements help you generate more specific, actionable insights tailored to your goals.
Best Practices for Inventory Optimization
1. Keep Your Inventory Data Synced
Ensure your product and inventory feeds (e.g., Shopify, Amazon, or ERP systems) are connected and regularly refreshed in Polar. This ensures your MCP output reflects real-time stock levels.
2. Combine Data Sources for Deeper Insights
The MCP pulls from Polar’s unified data layer — combining inventory, sales, and ad performance. This means you can see how marketing activity affects product sell-through rates or overstock levels.
Example:
“Your Facebook Ad campaign for the Classic Linen Shirt is driving rapid sell-through — expect a stockout in 7 days unless reordered.”
3. Use It as a Weekly Planning Tool
Schedule recurring inventory prompts (e.g., weekly summaries in ChatGPT or Make automations) to stay ahead of stock issues and make proactive decisions before they impact revenue.
4. Align with Marketing & Merchandising
Share MCP-generated insights with your marketing and merchandising teams to coordinate promotions:
Run clearance campaigns for overstocked products.
Boost ads for top performers with strong margins.
Delay promotions for SKUs nearing stockout to preserve inventory.
The Inventory Optimization Prompt gives ecommerce teams a smarter, faster way to manage stock — turning your Polar data into instant, actionable insights.
Key takeaways:
The prompt identifies stockouts, overstocks, and reorder priorities automatically.
You can run it through ChatGPT, Claude, or other MCP-integrated tools for real-time insights.
Customizing the prompt helps tailor recommendations to your specific inventory needs.
By integrating this workflow into your weekly operations, you’ll make data-driven inventory decisions that reduce costs, prevent stockouts, and maximize profitability.
For additional guidance, see: