Application YC di Suggestr

Winter 2022Inactive

Suggestr ha partecipato a Y Combinator nel batch Winter 2022 come azienda B2B. Sotto: cosa fa l'azienda, chi l'ha fondata e la sua application a YC, ricostruita domanda per domanda nel form reale di YC.

Batch YC: Winter 2022
Settore: B2B
Dimensione team: 2
Stato: Inactive
Lanciata: 2021

Founder

Aditya MehtaFounder
Oleksii SidorovFounder

Cosa fa Suggestr

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.

Application YC di Suggestr, ricostruita

Domanda per Y Combinator

Suggestr, batch Winter 2022. Le vere domande del form, risposte da dati pubblici.

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

Suggestr

Describe what your company does in 50 characters or less.

Amazon-level personalization for Shopify merchants

What is your company going to make? Please describe your product and what it does or will do.

We built a no-code personalization tool for Shopify merchants that uses AI to recommend products, create bundles, and upsell. Unlike typical recommenders, our AI understands product visuals and metadata with far less data, making it accessible to small and mid-sized brands that don't have massive customer histories or in-house data science teams.

Where do you live now, and where would the company be based after YC?

We live and are based in Singapore and plan to keep the company there after YC.

Explain your decision regarding location.

Singapore is where we currently live and work. It's a hub for e-commerce businesses and provides access to the growing Asia-Pacific Shopify merchant base, which fits our initial target market.

21 risposte in più nell'application completa

Founders, Progress, Idea, Equity, Curious, Batch Preference sono nella versione completa. Crea un account gratuito per aprirla in YC Insights, accanto a ogni altro batch YC.

Vedi domanda completa

Domande Frequenti

Questa è l'application YC reale di Suggestr?

No. Y Combinator mantiene private le application inviate. Questa è una ricostruzione: le domande del form YC reale, a cui si è risposto usando i dati pubblici di Suggestr (note di lancio, background dei founder, descrizione del prodotto). Mostra come un'azienda come Suggestr si presenterebbe a YC, non il testo che hanno inviato.