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Suggestr

Amazon-level personalization for Shopify merchants

Shut down

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.

Topics

SaaSE-commerceB2B
Location
Singapore
Team size
2 employees
YC batch
Winter 2022
Status
Shut down
Stage
Early stage

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Questions and answers

What does Suggestr do?

Amazon-level personalization for Shopify merchants

Where is Suggestr based?

Singapore

How many people work at Suggestr?

2 employees, according to the company profile.

Has Suggestr raised money?

There are no funding rounds for Suggestr in our data.

What are the alternatives to Suggestr?

Similar startups: Circular, Arrow, and Take App.