How Does BQool AI Repricing Work?

How Does BQool AI Repricing Work?

You may have heard BQool’s recent AI Repricer launch. While we have received a lot of positive feedback from our customers about AI Repricer, we also received many customer queries about how BQool AI Repricing works? In this article, we will explain the theory behind AI and machine learning and how BQool AI Repricer can improve your Amazon sales.

AI is the ability in machines that performs tasks simulated to human intelligence such as reasoning, learning, and problem-solving. The computer programs can automatically adapt and learn from data to make the best decision or prediction. Our previous blog post explained this topic in detail. You can also watch the following video for more information about AI.

 

What Data Will You Feed Your Artificial Intelligence?

Like the way how people learn, we need certain information and constant training to develop a skill and accomplish a task. Similarly, the AI system accumulates data and recognizes the patterns and insights in the data through a machine learning algorithm, then making predictions based on that information.

AI Model_Final

We applied machine learning to our repricer, feeding our AI system with data collected from Amazon. The data sources include item availability, item condition, price, ASIN, seller ratings, Prime status, Amazon channel, seller type, shipping location, Buy Box, competitors, expedited shipping, handling time, and any contributing factors that would impact the buy box %. The machine learning algorithm finds patterns in the training process based on the data provided and offers price predictions that can win the buy box. The algorithm will capture these results and input them into the training model to develop a more capable algorithm. The better the algorithm, the more accurate the decisions and predictions will become as it processes more data and successful outcomes.

 

3 AI Repricing Strategies for Winning the Buy Box

Our unique AI repricing strategies will focus on one thing – winning the Buy Box. You win the buy box a lot more, and you get more sales. The AI repricing strategies are designed at three repricing levels, and sellers can choose the desired repricing strategies depending on the competition. 

If you face intense competition, the best approach is to reprice your product aggressively for winning the Buy Box quickly. As this aggressive repricing strategy aims to boost sales at a competitive price, it’s also appropriate to apply to liquidate your inventory. 

The second repricing strategy is moderate, and which is suitable for the competition out there is acceptable, maybe around 10-15 sellers, and your target customers are not very price sensitive. The Moderate Competition repricing strategy can help you earn higher per-unit profits than immediate sales. And it will incrementally raise your price to increase profit after winning the Buy Box.

And the last repricing strategy is a good fit for low competition, and the goal is to maximize profits per unit. The Low Competition repricing strategy is also applied to the situation when you’re trying to share the Buy Box with other competitors in the same arbitrage group or when you don’t have a large inventory.

The below table illustrates a summary of differences for each BQool AI Repricing Strategy.

BQool AI Repricing Strategies (1)

 

Winning More Amazon Buy Box in 2021 

When it comes to the best repricing strategy, it depends on your repricing goal. The competition on Amazon can be dynamic and unpredictable, this is why you need to have an AI repricer that can adapt to respond to unexpected price changes quickly and efficiently. BQool AI Amazon Repricer is an intelligent tool that can monitor and learn from your competitors and personalize a winning Buy Box strategy for each of your ASIN.

 

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