Suggestr
Amazon-level personalization for Shopify merchants
What they do
Shopify merchants lack affordable, effective personalization and product recommendations because they don9 have enough data or data science resources.
A self-serve, no-code personalization platform that uses multimodal AI to understand products and generate recommendations, bundles, and related-product surfaces with far less data.
Shopify and other e-commerce platform merchants across SMB, mid-market, and enterprise brands.
Founders
Aditya is a technologist that has built and sold recommender systems to banks. He has operational experience in e-commerce and knows the pain points of sellers first-hand. Before building Suggestr, he built a talent marketplace startup, where recommendations were used for talent matching.
Oleksii is an AI Researcher with 15 papers published in ML and AI and 900+ citations. He's a serial founder with two exits (Slise.xyz, and DiseCRM.com). He has been a part of the Vision & Language team at Facebook AI Research (USA), and the Experimental Psychology lab at the University of Oxford (UK), applying AI to the analysis of human behavior.
Company timeline
- Founded2021
- YC batchWinter 2022
- StatusInactive
- Team size2 people
- LocationSingapore, Singapore
