Evolving Algorithm
Gets smarter with every interaction.
Poltio’s recommendation engine learns continuously from shopper behavior across your catalog. The more it’s used, the more accurate the match logic without manual retraining.

What it does
Everything you need to know
Poltio’s Evolving Algorithm uses reinforcement signals from real shopper interactions to continuously refine recommendation quality. Clicks, purchases, return rates, and explicit feedback loop back into the matching logic improving product-to-question mapping, weighting attribute importance, and surfacing emerging preference patterns automatically.