Zorin fits an elasticity model to your past sales, quantities, prices and dates from a CSV, and recommends the price that maximizes profit for each SKU, with a confidence score based on data density and model fit. It also runs a Van Westendorp price-sensitivity survey to your customers for real willingness-to-pay data alongside the model, and flags promotional spikes so they don't distort the numbers. Setup needs no integrations, just a CSV upload, Shopify and WooCommerce are supported natively, and the company says your sales data is never shared, sold or used to train other merchants' models, and is deleted on request.
What holds up
- +No integrations needed to start — five minutes from a CSV upload to a first recommendation
- +Auto-detects promotional spikes and excludes them so a sale doesn't skew the pricing model
- +Confidence score tied to data density and model fit, so you know when to trust a suggestion
- +States sales data is never shared, sold or used to train other merchants' models
Mind the limits
- −Recommendations depend on your sales history — low-volume shops have less data to model from
- −Only Shopify and WooCommerce are supported now; BigCommerce is listed as 'coming'