Dynamic Pricing

Automated repricing for online shops and retailers

Dynamic Pricing AI helps retailers manage the prices of large catalogs without checking each one by hand. The vendor describes the product as autonomous repricing that removes manual work, using strategies it has prepared in advance for faster stock turnover.

Building pricing logic from competitor and sales data

A retailer writes pricing policies based on what competitors charge and how its own products sell. One example the company gives is a rule for stock that has sat for more than 90 days, where the shop follows the lowest price among its top five competitors, while other products keep their price. Competition monitoring includes matching identical and similar products across the market.

Five measures the company aims to move

The company describes a sweet spot between conversion and profit and says it uses live competitor data and contextual models to find it. The five levers it names are revenue per visitor, profit per visitor, competitiveness, conversion rate and average order value. It also offers AI pricing models, product benchmarking and promotion assistance.

Control and transparency

Dynamic Pricing says the process stays transparent and under the retailer's full control. A free trial is offered for shops that want to try the tool.