MerchPulse: Stopping Refund Bleed for Shopify Sellers with Open-Source AI
This is a submission for the Hacktoberfest Open-Source AI Challenge Week 2: Side Hustle What I Built MerchPulse is an autonomous customer feedback intelligence and root-cause platform built specifically for e-commerce merchants (Shopify, Amazon, WooCommerce, and Etsy sellers). The Problem Small and mid-sized e-commerce sellers are flooded with scattered, messy feedback across: Product reviews…
MerchPulse is an open-source AI platform designed to help e-commerce sellers from Shopify, Amazon, WooCommerce, and Etsy manage customer feedback and stop refund losses. The platform integrates two AI models: Google's Gemma 2 and Prior Labs' TabPFN 2.5. Gemma 2, an open-weight large language model, serves as the semantic reasoning engine, extracting root cause explanations and classifying feedback sentiment.
TabPFN 2.5, a tabular foundation model, analyzes order metadata to detect anomalies and predict high-risk return SKUs. MerchPulse helps sellers save time by automatically connecting related complaints and providing root cause explanations backed by customer quotes, eliminating the need for manual reading of hundreds of comments.
The platform is deployed on Render and boasts a deployed demo with KPI cards and root-cause tabs. The open-source nature of Gemma 2 ensures zero customer data leaves the merchant's infrastructure, addressing data privacy concerns.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
