Price Suggestions

Get data-driven pricing for every product. Shopfront analyses real listings across eBay, Depop, and Grailed to suggest competitive prices based on what similar items actually sell for.

How It Works

When price suggestions are enabled, Shopfront searches multiple marketplaces for similar products, then uses AI to evaluate which listings are the best matches. From this data you get:

• AI-suggested price — A recommended price based on confidence-weighted competitor data
• Price range — Min to max prices found across marketplaces, with average and AI markers on an interactive slider
• Market analysis chart — Visual price distribution showing where your price sits relative to the market
• Demand level — Low, Medium, High, or Very High based on how many listings exist
• Condition breakdowns — Average prices grouped by item condition (New, Pre-Owned, Used, etc.)
• Competitor listings — The most similar items found, ranked by match confidence with prices and conditions

Competitor Listings

Each competitor listing shows a match percentage indicating how similar it is to your product. Higher matches are weighted more heavily in the price calculation.

The BEST badge highlights the closest match. You can expand the list to see all results and compare across conditions and price points.

Using Price Suggestions

During listing generation: Toggle Price Suggestions in your processing options. Prices are analysed automatically as part of the AI generation pipeline.

On existing products: Open any product, go to the Market tab, and view the full pricing breakdown. Adjust the slider to set your price — every channel uses it.

To charge a different price on one channel, set it on that channel's own tab. A per-channel price applies until you change the product's price again, at which point every channel goes back to using the new price.