Systems and methods for merchant personalization and recommendation

Abstract

There are provided systems and methods for providing a merchant recommendation using multiple models. An example system may receive, at a product predictor, an input including a series of products and generate an output including a target product associated with the series of products. The system may generate, at a value evaluator, a value change associated with the target product based at least in part on the output, and generate, at the product predictor, a recommendation including the target product and the value change associated with the target product. The system may further generate, at a seasonal predictor, a seasonal prediction for the output in a future time frame based on the output, and generate, at the product predictor, an updated output including an updated target product based on the seasonal prediction for the output in the future time frame.