Fabulyst is an AI that enables styling theory assisted shopping at fashion e-commerce stores. The whole idea is to address natural user intents and queries in shopping workflow and hence increase conversion rate.
Consider few frequent real world user queries/intents - show me elegant dresses for party that make me look slimmer, will this apparel suit my dusky tone, or heavy upper body, body shape etc. These are largely unaddressed. Fabulyst is first of a kind B2B(2C) solution that takes as input regular e-commerce inventory and like a personal stylist answers effortlessly for every user all aforementioned queries both with product suggestions & natural language.
As per a study by Baymard Institute (https://baymard.com/ecommerce-search), 84% of fashion e-commerce has poor/mediocre filter experience.
The system uses proprietary algorithms (patents under progress) that combine deep learning and 40000+ styling rules to work in tandem.
It is an out of box offering for fashion e-commerce players that integrates to the product detail page (PDP) in 5 mins and generates 2x lift in add to cart conversions and average page visits per user.
It directly tackles most important shopping concerns that users have - how does this product suit me? The advice is per user per product w.r.t. body shape, variations, skin tone etc.