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About the startup
Retrnly analyzes return reasons, reviews, support tickets, and product data to show which products and issues drive avoidable ecommerce returns. It groups feedback by product and cause, flags at-risk products, estimates savings, and delivers prioritized fixes: better sizing guidance, clearer descriptions, sharper imagery, and quality fixes. Import via CSV or connect Shopify, track past analyses, and export reports. Built for founders, product, ops, and CX teams cutting return costs.
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Ben Griffis⚽️ Data Scientist, open for work | Past: Kolding IF 🇩🇰 & Loudoun United 🇺🇸 | Views my own | bengriffis.com & griffisanalysis.beehiiv.com |
Rob ArthurData journalist, data scientist, freelancer published many places: WSJ, NYT, the Atlantic, the Guardian, etc. |
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