E-commerce
October 1, 2026
Are you wondering how Amazon's FBA tool will transform inventory management? The answer lies in two major announcements: new pricing for low stock levels and an AI tool to help you avoid it. These changes, scheduled for April 2024, do not only affect Amazon sellers: they shape the future of inventory management for every online merchant.
Concretely, Amazon is introducing a fee on insufficient stock levels and a predictive indicator based on machine learning. The objective is simple: to help you maintain the right stock level to maximize your sales while reducing your costs. But these new features raise important questions for your e-commerce strategy.
So, how will Amazon's FBA tool transform inventory management? On the agenda:
What is Amazon FBA's new low stock fee?
How does the AI-based minimum stock indicator work?
What are the implications for small and medium-sized businesses?
How do you apply these methods to your Shopify store?
What is the role of AI in tomorrow's inventory management?
Let's get started.
Summary
What is the new Amazon FBA low-inventory fee?
Amazon has announced a new low-inventory fee, which will take effect on April 1, 2024. This fee applies to standard-sized products whose inventory levels are consistently low relative to customer demand. Amazon justifies this measure by the impact of these insufficient stock levels on its distribution capacity and shipping costs.
Concretely, the fee only applies when a product's inventory level, relative to its historical demand, is below 28 days. This metric is calculated over two periods: the last 30 days (short-term) and the last 90 days (long-term). The amounts vary depending on the size of the product and the number of days of available inventory: 0 to 14 days, 14 to 21 days, and 21 to 28 days.
New sellers and new products benefit from exemptions of six months or one year. To avoid this fee, you can send additional units so that your short-term inventory exceeds 28 days.
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How does the AI-based minimum stock indicator work?
In parallel with the fee, Amazon has unveiled a new historical low stock level indicator, also effective from April 1, 2024. This indicator uses machine learning and artificial intelligence models to forecast demand and replenishment. It is a recommendation on the minimum number of units you should keep in Amazon's fulfillment centers.
The objective is twofold: to help you meet customer demand and offer faster delivery times. Indeed, by maintaining this recommended level, Amazon can stock your products in centers closer to your potential customers. This indicator is in addition to other inventory tracking tools already available, such as historical days of supply, inventory performance index, capacity limits, and restock recommendations.
This predictive approach is not new. A regional omnichannel retailer has already reduced its inventory by approximately $2 million using a machine learning model, while increasing sales by having the right products at the right time.
What are the implications for small and medium-sized enterprises?
Amazon justifies this fee by the impact of insufficient stock on its distribution and shipping costs. When your products are out of stock, Amazon has to manage unexpected orders, which increases its logistics costs. The fee aims to encourage sellers to maintain more stable stock levels.
This decision confirms what most major merchants already know: stock levels directly impact shipping costs. For small and medium-sized businesses, this is an invitation to integrate these costs into their purchasing decisions. By maintaining sufficient stock, you not only reduce fees, but also the risks of stockouts that hurt your turnover.
This approach could well become the standard on other e-commerce platforms. Shopify merchants must therefore prepare for it now.
How to apply these methods to your Shopify store?
Amazon's new minimum stock indicator offers FBA sellers a clear goal to optimize their sales. Many software tools already offer this type of forecasting, but their cost can be high for small brands. Amazon's initiative demonstrates that the necessary computing power is now accessible and affordable.
If Amazon can offer AI-based sales forecasting, other platforms like Shopify can follow suit. This means that even small sellers will soon be able to improve their purchasing and supply chain management without investing in expensive tools.
These improvements should translate into higher profits, thanks to reduced shipping and storage costs. By knowing with greater certainty which products will sell in the next 90 days, you can optimize your purchases and avoid overstocking.
How to apply these principles to your Shopify store?
Even if you don't sell on Amazon, you can apply the principles of this new approach to your Shopify store. The key is to use your historical sales data to forecast future demand. Analyze your sales over the last 30 and 90 days to identify seasonal trends and fast-moving products.
Next, set a minimum stock level for each product based on this data. This level should allow you to meet demand without tying up too much capital. For more precise management, you can use AI tools that automate these forecasts, such as those integrated into your inventory management in the Shopify admin.
The goal is to find the right balance between avoiding stockouts and minimizing storage costs. This approach will help you improve your cash flow and profitability.
What are the other inventory tracking tools available?
The minimum stock indicator adds to a suite of tools already available to FBA sellers. The first is historical days of supply, which measures how long your current inventory will last based on past sales. The second is the Inventory Performance Index, which evaluates your overall inventory health.
There are also capacity limits, which determine the storage space you have available in Amazon's centers, and restocking recommendations, which suggest when and how much to order. Together, these metrics give you a comprehensive view of your inventory management.
For Shopify merchants, it is useful to know these metrics to understand Amazon's expectations if you are considering selling on this platform. You can also use them as inspiration to improve your own inventory tracking.
What is the place of AI in the inventory management of tomorrow?
AI and machine learning are transforming demand forecasting. Predictive models analyze your historical sales data, seasonal trends, and other factors to estimate your future sales. This approach is much more accurate than traditional methods based on simple averages.
A concrete example: an omnichannel retailer reduced its inventory by approximately $2 million thanks to a machine learning model. The model allowed them to have the right products at the right time, which also increased their sales. This experience shows the potential of AI to optimize the supply chain.
For small businesses, these technologies are becoming increasingly accessible. Tools like those integrated into Shopify now make it possible to benefit from advanced forecasting without any particular technical skills.
What are the benefits of predictive inventory management?
Predictive inventory management offers several concrete benefits. The first is cost reduction: by avoiding overstocking, you reduce your storage costs and free up cash flow. The second is an increase in sales: by having the right products in stock, you do not miss out on sales opportunities.
The third benefit is improved customer satisfaction. Faster deliveries and constant product availability strengthen your customers' trust. Finally, better forecasting allows you to negotiate more effectively with your suppliers and optimize your purchases.
For Shopify merchants, these benefits translate into better profitability and more stable growth. Predictive management is no longer reserved for large enterprises.
How to avoid stockouts?
To avoid stockouts, start by analyzing your historical sales data. Identify your most popular products and periods of high demand. Then, set automatic reorder points for each product to trigger an order as soon as inventory reaches a critical level.
Use the inventory management tools in the Shopify admin to track your levels in real time. You can also set up alerts to be notified when stock is low. Finally, work closely with your suppliers to reduce lead times.
Good inventory management allows you to meet demand without tying up too much capital. It is a delicate balance, but essential for the profitability of your business.
What is the future of inventory management with AI?
Amazon’s initiative is just the beginning. AI is going to profoundly transform inventory management in e-commerce. Platforms like Shopify are already developing their own predictive tools, making these technologies accessible to all merchants, regardless of their size.
In the future, inventory management will be increasingly automated. AI systems will not only be able to forecast demand, but also place orders automatically and optimize stock levels in real time. This will free up time for you to focus on other aspects of your business.
Merchants who adopt these technologies now will have a clear competitive advantage. They will be able to reduce their costs, increase their sales, and improve their customer satisfaction.
How does Qstomy complement these inventory management tools?
Qstomy, the Shopify AI agent, complements these inventory management tools by optimizing the customer experience. Thanks to its personalized recommendations, it guides your customers to the right products, which increases the average cart value and reduces returns. In the event of a stockout, Qstomy can suggest alternatives, thereby preventing a lost sale.
Qstomy also manages package tracking and after-sales service, which reduces your team's workload. By automating these tasks, you can focus on the strategic management of your inventory. Qstomy's AI integrates seamlessly with your Shopify store to offer a smooth and personalized experience.
By combining AI-driven inventory forecasting and customer experience optimization, you maximize your profitability. Qstomy is used by more than 100 merchants to improve their conversion and customer service.
Checklist to optimize your inventory management
Here is a checklist to optimize your inventory management and prepare for the future of e-commerce:
Analyze your data: study your sales over 30 and 90 days to identify trends.
Set thresholds: establish a minimum stock level for each product.
Automate: use AI tools to forecast demand and trigger replenishments.
Track your metrics: monitor your days of inventory, out-of-stock rate, and storage costs.
Optimize the customer experience: use an AI agent like Qstomy to guide your customers and manage customer service.
In brief
Amazon's FBA tool marks a turning point in inventory management. AI makes demand forecasting accessible to all merchants. By adopting these methods, you reduce your costs and increase your sales.
FAQ
When does the low-inventory fee apply? It takes effect on April 1, 2024, for products with stock levels below 28 days of demand.
How can I avoid this fee? By maintaining sufficient inventory, beyond 28 days of historical demand.
Is AI accessible to small businesses? Yes, tools like those from Shopify and Qstomy make AI affordable and easy to use.
To go further: Google Analytics for marketing: ads, traffic, and performance (GA4) - Qstomy, How to handle customer questions about web offers not available in-store - Qstomy, How to integrate Shopify with Amazon for products, inventory, and reviews? - Qstomy, Why does an e-commerce business fail in the first 12 months? - Qstomy, Why use social networks for e-commerce customer service? - Qstomy.
Enzo
October 1, 2026
