Xuan Hau Nguyen@nguyenxuanhau89098358

In contemporary commerce (retail shops, e-commerce boutiques, and restaurant delivery operations), customer feedback is highly distributed across Google Maps, Yelp, Deliveroo, Just Eat, TripAdvisor, Trustpilot, and direct support tickets. When businesses attempt to monitor this customer feedback, they encounter a critical operational breakdown: Unstructured Text is Ignored: Business owners and store managers often only glance at crude numerical star ratings (such as 3.4 stars), without understanding the root operational cause. Sentiment Dashboards Do Not Solve Problems: Existing business intelligence software typically outputs passive charts (such as 68% negative sentiment regarding delivery). The store manager looks at the graph and is left asking: "Okay, but what do my employees actually need to do about it?" Reviewberry was created to eliminate this gap. It is an operational bridge that takes raw, unstructured, and differently phrased customer complaints, feeds them to Large Language Models running on AMD Radeon Cloud infrastructure, and converts them directly into assigned frontline staff tasks equipped with step-by-step Standard Operating Procedure (SOP) action checklists, department ownership, and customer recovery responses.

🌎 Hybrid Hackathon | 💻 Online Build: 12-17 October 2026 | On-site phase: 17-18 October 2026 To participate in the hackathon, simply click Sign up with AMD. If you are not already a member of the AMD AI Developer Program (ADP), you will need to create an account. The AMD Developer Hackathon: ACT III is a hands-on event for developers, founders, engineers and builders who want to push what’s possible with AI on real infrastructure. 📍 If approved for the on-site experience, you'll also have the opportunity to showcase your project live. Travel and accommodation will not be covered.