UnitOps Documentation

UnitOps gives restaurant and retail operators a daily, mobile-friendly, AI-assisted view of every store: sales and labor forecasts, dashboards, alerts, and a chat assistant grounded in your own data.

These docs are written as step-by-step instructions. Every setting described here can be configured from the UnitOps web app by following the steps on the page - no engineering ticket required.

Where to start

If you are...	Start here
Brand new to UnitOps	Getting Started
An admin setting up a new organization	First-time setup checklist
A General Manager building your first forecast	Weekly sales forecast
Connecting Slack, email, or SMS	Connect your apps
Building analytics	Custom dashboards
Configuring alerts	Notifications overview
Looking up a term	Glossary

What UnitOps does

• Sales forecasting - weekly projections at 15-minute resolution, generated from your history with selectable projection models, then reviewed, adjusted, approved, and published.
• Labor forecasting - a staffing plan derived from the published sales forecast and your labor matrix, with hours, headcount, cost, SPLH, and overtime, exportable to your scheduling system.
• Actuals and variance - enter or import actual sales and labor, then measure forecast accuracy day by day.
• Dashboards - built-in operating dashboards plus YAML-defined custom dashboards you can publish and embed.
• AI assistant - ask questions about your data in the app or from Slack and Teams, grounded in your KPIs and indexed documents.
• Alerts and notifications - rule-based alerts delivered in-app, by email, web push, Slack, Teams, or SMS, with role defaults, per-user overrides, and quiet hours.

Environments

Environment	App	Docs
Production	https://unitops.datalakehouse.io	https://docs.unitops.com
Staging	https://dev-staging-unitops.datalakehouse.io	https://unitops-docs-staging.pages.dev

Staging mirrors production and is the safe place to try a configuration change before you make it live. See Environments and deployments.