An Algorithmic Repricer That Thinks As A Human Seller
Almost all repricing solutions on the market from ten dollars to thousands of dollars per month, advertise a repricing algorithm, over promising, yet often under delivering. As a matter of fact, almost any piece of code used to reprice on Amazon can be called an algorithm. Seller Snap designed an algorithm to think as a real Amazon seller. Our technology is capable of detecting the behavior of a specific competitor and making tailored price adjustments to outsmart that competitor.
Selling on Amazon is a “game” with multiple players all trying to get their share. This will often cause aggressive price changes, destroying profit margins.
The Game Theory approach to repricing on Amazon is the only way to guarantee you are always optimally priced for profit, under the specific competitive circumstances for each product you sell.
Our AI powered Game Theory repricer detects competitor behavior and automatically applies the best strategy for the specific situation, maximizing profit while avoiding price wars.
Avoid Price Wars
Amazon’s extremely competitive landscape causes constant price wars for sellers competing for the BuyBox. For any competitive product sold on Amazon, sellers will most likely be using a repricing software to secure BuyBox share.
The popularity of rule-based repricers can very quickly trigger a “race to the bottom”, through sellers continuously under-cutting one another. If you chose to play by the same rules, you’ll likely end up sharing the BuyBox at your minimum price.
Seller Snap’s Game Theory Repricer will outsmart your competition, applying strategic price changes to gain BuyBox share at the highest possible price.