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Suggestr

Amazon-level personalization for Shopify merchants

y-combinatorWinter 2022SaaSE-commerce🇸🇬 Singapore2 people
Aditya Mehta
Oleksii Sidorov

Aditya Mehta, Oleksii Sidorov · 2 co-founders

2021Founded
Team
2
current
Co-founders
2
current
Stage
Founded
Source for Founded
Profile coverage4 of 8 · missing Funding, Signals, Customers, Stack / tools · last run 8/10/2026

About

Suggestr is a self-serve, no-code personalization solution for the 20M+ e-commerce brands that sell on platforms like Shopify. Marketplaces like Amazon drive up to 30% of their sales from personalized surfaces (recommendations, bundles, frequently bought together, et cetera). They have large data science teams that build such in-house recommendation engines. However, DTC brands can't afford to do this, and they don't have enough customer data to make the conventional recommendation approaches work. Suggestr uses innovative multi-modal AI technology that sees and understands products (needs 100x less data), allowing it to work with brands of all sizes (SME, mid-market, enterprise). The solution takes less than 30 minutes to integrate and helps merchants increase online store revenues by up to 10% with AI-driven upsells and cross-sells.

2 founders