The Restock Recommendation feature in Seller Central provides data-driven restocking suggestions for FBM sellers. Unlike older systems that focused mostly on FBA, this tool now offers FBM-specific insights using Amazon’s advanced demand forecasting model.
The system calculates:
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Suggested restock quantities based on current inventory and demand
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Restock-by dates to avoid out-of-stock periods
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Projected two-week demand
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AI-powered eight-week demand forecasts
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Days of supply remaining for each SKU
2. Who Can Use This Feature?
Currently, the feature is available to:
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US-based Amazon sellers
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FBM sellers (Fulfilled by Merchant)
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Sellers with listings that have:
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At least one sale in the past 90 days
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Active listings with fewer than 14 days of supply remaining
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It is expected that all FBM sellers will gain access via the “My Inventory” page in Seller Central by mid-April 2025.
3. How to Access Restock Recommendations in Seller Central
To check if the feature is active for your account:
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Log in to your Seller Central account.
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Navigate to Inventory > Manage Inventory.
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Look for the Restock Inventory tab or widget.
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Select the “FBM Restock Recommendations” from the filter or left menu (if available).
If it’s not yet visible, Amazon may not have rolled out the feature to your account but it’s coming soon!
4. Understanding the Data: What Each Metric Means
Let’s break down what each key recommendation metric means:
Suggested Restock Quantity
Amazon calculates how many units of a specific SKU you should restock to meet the upcoming demand over a 14-day window.
Restock-By Date
This is the latest date by which you should replenish inventory to prevent going out of stock, based on:
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Lead time
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Sales velocity
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Current stock
Estimated Days of Supply
The system estimates how many days your current stock will last before going to zero. If it’s below 14 days, you’ll receive a restock alert.
8-Week Demand Forecast
This is a forward-looking projection of demand using machine learning algorithms that consider:
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Seasonality
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Previous sales spikes
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Category trends
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Customer search data
These forecasts become more accurate the longer a product has been active on Amazon.
5. Why This Feature Matters for FBM Sellers
Fulfilled by Merchant sellers face unique challenges:
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Manual inventory tracking across multiple sales channels
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Longer restock lead times
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Higher risk of stockouts or overstocking
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No built-in warehousing like FBA
With this tool, FBM sellers now have a centralized, AI-driven system to monitor demand, reduce guesswork, and plan inventory more effectively.
Benefits include:
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Reduced stockouts and lost sales
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Better inventory turnover
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Less tied-up capital in slow-moving stock
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Streamlined order fulfillment planning
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Increased customer satisfaction
6. Step-by-Step: How to Use Restock Recommendations to Optimize Inventory
Let’s walk through how to use this data in a strategic, step-by-step manner.
Step 1: Download Restock Reports
Use the Restock Inventory page to download a report of all suggestions. Filter by “Restock Now” priority.
Step 2: Review High-Priority SKUs
Look for SKUs with:
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Low days of supply
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High forecasted demand
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Short lead times
These are your most urgent restocks.
Step 3: Coordinate with Suppliers
Use the restock-by dates to align with your supplier or manufacturer. Ensure your production or shipment schedules allow time for replenishment.
Step 4: Update Your 3PL or Warehouse
If you use a third-party logistics provider, send restocking schedules based on the recommended inventory to prevent stockouts during peak demand.
Step 5: Combine With Sales Events
If your product aligns with upcoming events (Prime Day, Back-to-School, Q4), restock slightly higher than the default suggestion to meet promotional demand.
7. Pro Tips for Using Amazon’s Restock Recommendation Data
Here are some actionable strategies for advanced sellers:
A. Use It With Your Own Demand Forecasting
Don’t rely solely on Amazon—combine its insights with your tools like:
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Inventory Planner
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Sellbrite
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Google Trends
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Shopify or Walmart sales data
B. Adjust for Seasonality
If the forecast doesn’t account for a known event (e.g., Father’s Day), manually adjust restock quantities.
C. Segment by Location
If you’re shipping from multiple warehouses, use region-specific stock data to balance restocks and avoid delivery delays.
D. Monitor Actual vs. Projected
After restocking, compare actual sales to Amazon’s projections. Over time, this helps you trust or tweak Amazon’s accuracy per category.
8. Inventory Management Mistakes to Avoid (Even With Recommendations)
Restock suggestions are only as good as your process. Avoid these common pitfalls:
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Delaying action on restock alerts
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Blindly following recommendations without supplier coordination
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Failing to account for inbound lead time
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Ignoring low-volume SKUs that drive bundles or upsells
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Not using the data to optimize reorder quantity or pricing
The key is to treat Amazon’s recommendations as a decision support tool, not an automated command.
9. Future of Inventory Forecasting on Amazon
With Amazon continuing to roll out AI-driven systems, it’s clear that predictive inventory management will become the standard.
We anticipate new features in 2025–2026 like:
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FBM integrations with warehouse management systems (WMS)
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Predictive PO (purchase order) generation
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SKU prioritization based on Amazon Ads + Inventory signals
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More robust visual dashboards within Seller Central
As sellers, embracing these innovations means staying competitive.
10. How Moiz IT Helps You Manage Inventory Proactively
At Moiz IT, we specialize in inventory logistics and forecasting for Amazon sellers. We help clients:
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Set up automated restock systems
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Build inventory dashboards
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Integrate with 3PLs and suppliers
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Analyze Amazon’s restock data for accuracy and adjust projections
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Plan inventory for seasonal sales events and product launches
If you’re an FBM seller or hybrid FBA/FBM business, our team will help you optimize inventory, boost sell-through, and increase profitability.
Conclusion: Restock Smarter, Sell Better
Amazon’s Restock Recommendation feature represents a huge step forward for Fulfilled by Merchant sellers who’ve long lacked the predictive tools available to FBA users. By combining AI, machine learning, and marketplace insights, this tool empowers sellers to restock smarter, reduce operational friction, and focus on selling—not spreadsheets.
As the rollout continues and the tools become even more powerful, the most successful sellers will be those who leverage these features proactively.
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