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Use LLMs to increase E-commerce store's conversion rates

Hacker News

Use LLMs to increase E-commerce store's conversion rates

Hi everyone! I’m working on Claros, a plugin for e-commerce sites to increase site conversions. Claros asks the customer questions and guides customers to the best product, acting kinda like a physical store associate. This results in more purchases. I use LLMs and hybrid vector search to do the recommendations and the product retrieval Let me know if you would like to try it out for free, or if you know any stores who can try it out! I’m trying to get some case studies right now. Check out a demo here: https://shop.claros.so

Visit product View on Hacker NewsJul 13, 2023

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best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Strong signals: physical · Missing: mac, agents, macos

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Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

45%45% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

32%32% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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