Resenix is a review-analysis tool built for local businesses. Users paste any Google Maps URL and the platform imports up to 100 reviews in seconds, returning a 0–10 score, sentiment breakdown, NPS, and the recurring issues that appear across reviews. The output is a concise action plan: three prioritized fixes the owner can implement that week. Key capabilities include multi-language review processing, competitor benchmarking, and automated weekly emails. Claude (Anthropic) reads reviews in their original language—Italian, German, Japanese, etc.—and delivers the analysis in the dashboard language without a manual translation step. Users can add up to three competitor URLs; every Monday they receive an email comparing their score against competitors and highlighting who is ahead on specific metrics. The workflow is intentionally minimal: paste URL → 30-second wait → actionable report. Reviews are processed and then discarded; the company states it never trains models on customer data. The product surfaces verbatim quotes in the original language while translating the analytical summary, ensuring owners see exactly what customers wrote. Use cases center on recurring operational problems: long wait times, cleanliness issues, staff friendliness. By quantifying these themes and ranking them by frequency and impact, the tool gives small teams a clear weekly to-do list instead of a vague sense that “people complained about waiting.” Target customers are independent restaurants, clinics, hotels, salons, cafés, and other local shops that lack dedicated data teams. Agencies managing multiple locations can upgrade to the Plus plan for unlimited workspaces.