AI Pricing rules

Imagine having an agent who checks which strategy is best for each product, decides on a strategy, tries it for a few days, checks the results, changes the strategy, rechecks it, and repeats this process all the time.

As it is almost impossible to manage every product daily manually, Quicklizard developed its AI Profit Optimization Pricing Engine. Under the constraints, the engine finds an alternative with the most cost-effective or highest achievable performance.

The engine acts under the pricing limits defined in the group and will never recommend a price lower than that.

The engine constantly learns, tries different strategies, and keeps the maximum daily profit. This means, for example, that if you last sold your product in the last few days, the engine will not increase the product's price. The engine may often change its strategy, leading to a high increase in unit sales. We recommend that products under this group are the ones that can be quickly replenished. We suggest using our 'Low Inventory' strategy for products with limited inventory.

This strategy is relevant for products with an inventory turnover every few months and wish to sell all their inventory in a specific time frame. The engine will prioritize sales over profitability while keeping the right sales rhythm. This means the engine will increase or decrease the price based on its sales.

Although the price is flexible and it is based on product conversions, it is subject to the strategy's limits.