APE learns by itself and tracks how well the Best Price performs and identifies the right moment to start exploring again. Once an ASIN finishes the learning phase, its listing price immediately updates to reflect the identified optimal price.
APE learns by itself and tracks how well the Best Price performs and identifies the right moment to start exploring again.
The active learning module identifies the best price for your products by continuously exploring profit-making prices.
Leverage the power of AI to digitize your pricing processes and reduce 90%+ manual effort on Amazon.
By optimizing the visibility of promotion banners*, your products get the best levers to distinguish from the competition.
By optimizing the visibility of promotion banners*, your products get the best levers to distinguish from the competition.
*The appearance of the red banner on Amazon may vary depending on your browser, device and location. Otherwise, the strike-through price will be shown.
*The appearance of the red banner may vary depending on your browser, device and location. Otherwise, the strike-through price will be shown.
*The appearance of the red banner may vary depending on your browser, device and location.
The optimization of the save badge banner helps drive up your profits and increase sales on the Amazon Marketplace.
Our algorithm constantly A/B tests various prices and predicts whether the save badge will be activated by Amazon.
Maintaining inventory is crucial for a successful Amazon strategy to avoid negative impact on your search results and ranking. To avoid being punished by Amazon, it is important to adjust your price with your inventory level.
Maintaining inventory is crucial for a successful Amazon strategy. To avoid being punished by Amazon, it is important to adjust your price with your inventory level.
APE uses historical data to predict the amount of sales expected at the current price and compares it to your inventory level.
When you’re at risk of running low on inventory, our AI will increase the price to help keep your stock.
Find out:
To launch your product on the Amazon Pricing Engine, you just need to enter the cost and allowed price range for your product.
The duration of the learning phase depends on how much revenue your products make over time.
Our algorithm looks for convergence in the collected data and decides to end the learning phase when the level of convergence is deemed sufficient. In practice, you can expect the Learning Phase to last 2 to 3 weeks.
Currently, APE only supports private label products. The active learning focuses on identifying better prices for your product, without considerations for the buybox competition.
If you are interested to optimized your competitive products, get in touch!
"We are fascinated by the results of APE. Compared to last year’s strong performance, we are back to similar revenue levels this year with Priceloop. At the same time, we were able to generate significantly higher profit margins with fewer products sold."
