BLOG: Retail
6 Min Read | February, 2024 | BY Jordy Rinaldi
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For e-commerce managers, maintaining the right inventory levels is crucial for a successful Amazon operation. Balancing stock levels to prevent both overstock and stockouts is key to optimizing your bottom line. Utilizing Amazon's forecast data, which offers insights into future product demands, can significantly enhance your inventory decisions.
In this blog, we will explain how to work with Amazon forecast data.
Amazon provides different forecast types to cater to various business needs:
The choice of forecast depends on your risk tolerance and business strategy, such as prioritizing minimal overstock or aiming to maximize sales.
These forecasts gauge future product demand by analyzing historical sales data, trends, seasonality, and other variables. They assist in projecting the expected number of units to be sold in each period, facilitating inventory management.
The decision on which forecast to utilize hinges on your business objectives and may vary across product segments:
For enterprises operating across various markets, consolidating forecast data from different countries can offer a holistic perspective on global demand, enabling streamlined inventory distribution and management.
To aggregate data across countries, follow these steps:
Comprehending forecast data empowers you to enhance decision-making regarding order volumes. By synchronizing order quantities with predicted demand, you can refine your inventory levels, striking a balance to avoid overcommitting to orders while meeting the demand for sought-after items.
To align purchase orders with forecasted demand:
Doing this calculation manually each time is time-consuming and increases the risk of errors. To alleviate this, we've created Catapult, a tool designed to fully automate the data preparation process. With Catapult, you can bypass the data preparation stage and concentrate on implementing actions based on your results.
Generating a forecasting report also aids in detecting and preventing instances of out-of-stock scenarios. Often, Amazon anticipates high demand but lacks sufficient stock. This can occur due to insufficient ordering or no ordering at all, resulting in out-of-stock situations. So, what steps can you take upon identifying such cases?
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Your initial action is to gauge the impact by assessing the business implications of potential stockouts. This involves computing the anticipated stock shortage and projected lost cost of goods sold (COGS). Armed with this data, you can make informed decisions based on the potential damage this out-of-stock situation might inflict on your business and the measures you're willing to take to mitigate it.
If the estimated lost COGS is minimal, it may be worthwhile to accept the situation and allocate your resources to other, more impactful matters.
However, if the projected lost COGS is significant, you can:
Tagging products with key information such as stock status or upcoming promotions can enhance inventory strategy, helping prioritize actions based on the product's value and upcoming needs.
Effectively using Amazon's forecast data enables e-commerce managers to adopt a nuanced approach to inventory management. By choosing the right forecast model, aggregating data across multiple markets, and implementing strategic purchasing and stock management, businesses can reduce both overstock and stockouts, leading to more efficient and profitable operations. This strategic approach keeps businesses agile and competitive in the dynamic Amazon marketplace.
Jordy Rinaldi
Since 2021, Jordy has been active in product management and business growth across ecommerce and technology. As Team Lead Product Management at CATAPULT, he oversees product strategy and development initiatives.
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