Overview

Amazon has added a Scenario Modeling feature to Seller Central that lets merchants simulate how specific business moves could shift the unit economics of their listings over the next 90 days. The tool creates a “what‑if” forecast and automatically pits each scenario against a baseline that assumes no change, giving sellers a clear picture of potential upside or downside before they act.

Key Points

• 90‑day horizon — The model projects financial results for each product over a three‑month window, allowing sellers to see medium‑term effects of pricing tweaks, fulfillment swaps, or ad spend changes.
• Baseline benchmark — Every scenario is measured against a default forecast that assumes the seller does nothing, so the impact of any proposed action is shown as a positive or negative delta.
• Multiple scenarios side‑by‑side — Users can build several treatment options for the same product group or run entirely different experiments in parallel, facilitating direct comparison of competing strategies.
• Supports up to 100 SKUs — The interface accepts up to one hundred products per run, making it useful for both narrow‑focus tests on a few ASINs and broader catalog‑wide planning.
• No mandatory data storage — Sellers are not forced to save their inputs; they can delete all entered information at any time, keeping the process lightweight and privacy‑friendly.

How Scenario Modeling Works

1. Define input variables — The seller selects the products to analyze and enters key parameters such as current price, fulfillment method, advertising budget, and any planned adjustments. For example, a seller might input a 10 % price increase for a seasonal accessory while keeping ad spend constant.
2. Choose treatment options — One or more hypothetical actions are added to the model. A typical treatment could be switching the item from Fulfilled by Amazon (FBA) to Fulfilled by Merchant (FBM) to test cost savings. Each treatment is labeled and can be duplicated for comparison.
3. Run the forecast — Amazon’s predictive engine processes the inputs, generating projected unit economics—revenue, cost of goods sold, advertising spend, and profit margin—for each treatment and for the do‑nothing baseline. The output is displayed in a side‑by‑side table that highlights differences in dollars and percentages.