Your shift, briefed before you walk in.
Every morning before service, your RLM has already read your weather and your hourly forecast, your sports overlap (home and away, network broadcast, playoff buzz, rivalry tags), your local neighbourhood events, news that affects your block, news that affects your industry, news that affects the country, your reviews from overnight, your guest sentiment, last night's actual versus its prediction, and how this day compares to every same-day your restaurant has ever run. Then it writes the briefing your team gets before service.
- Hundreds of cross-signal data points read every morning before service
- Weather + hourly forecast + climate normals for this calendar date
- Sports schedule with playoff buzz, broadcast network, rivalry tags, primetime flags
- Local neighbourhood events, transit, openings, festivals — the block-level signal that matters most
- News at the local, national, and global level — anything that moves the demand curve
- Last night's prediction vs. actual rolled into today's plan with the interpretation done
- Every briefing is graded the next morning. The model that wrote yesterday's becomes the input to tomorrow's. The one that writes day ninety knows your restaurant.