Momos Copilot Update: Prevent Incidents at Every Location Before They Cost You

Your customers are telling you what’s wrong. Now, there’s a faster and accurate way to act on it.

Built for operators, Incident Analytics helps you uncover and fix recurring issues before they impact loyalty or revenue.

From food safety concerns to slow service, Incident Analytics surfaces every operational issue that’s happening across your brand—by location, item, feedback type, categories, and more. 

You’ll get to:

‍🛠️Fix issues before they happen: Surface the most common incidents flagged by guests—like undercooked food, packaging problems, or staff behavior—so your team knows exactly what to fix

‍📍Pinpoint where problems are happening: Drill down by location, item, feedback sources, and categories to uncover hotspots across your brand and prioritize the stores that need the most attention.

‍🛑 Catch recurring trends early: Track incident rates and severity over time to spot patterns and prevent repeat problems before they impact loyalty or revenue.‍

💪 Take action with confidence: Powered by Rockie, your AI Analyst, operators get industry-backed recommendations (we’ll allow brand guidelines upload soon; so watch out for that update) to accurately fix in-store and on-ground incidents. For example, Rockie can flag recurring hygiene issues at a specific location, and suggests actions to fix them.

Rockie is part of our AI Copilot Team, together with Alfie and Donnie. He goes beyond a data analyst by improving operational excellence and revenue with real-time customer and location insights.

Thanks for your continuous support. Got questions or feedback? Please reach out to your account manager, we'd love to help!