Restaurant ops platforms collect everything — sales by item, labour costs, inventory levels, compliance records, supplier pricing. But operators still make gut-feel menu decisions, manually check schedules against labour laws, and discover they're out of salmon on a Friday night. The data is there. The intelligence layer isn't — yet.
Sidenet's AI assistants sit inside your restaurant ops software and turn raw data into actionable decisions. Menu engineering, compliance checks, inventory forecasting, and cross-location analytics — all through natural language.
Each of these assistants can be built, configured, and shipped using Sidenet — no AI engineering required.
Analyses menu item performance by margin, popularity, and food cost. Recommends swaps, pricing changes, and seasonal adjustments.
Data-driven menu decisions. Higher margins without guesswork. Operators stop relying on intuition and start using their own data.
Ensures schedules and operations meet labour laws, health codes, and shift regulations.
Proactive compliance. Fewer fines, fewer surprises. The schedule gets fixed before it becomes a problem.
Forecasts ingredient demand based on reservations, trends, and historical data. Flags potential shortages.
Less waste. Fewer 86'd items. Better supplier management. The assistant catches shortfalls before the kitchen does.
Turns raw ops data into actionable insights through natural language queries.
Operators get answers instead of exports. Multi-location insights in seconds. Identifies specific, actionable savings.
Embed the Sidenet chat in your restaurant ops software with a single line of code.
Configure menu, compliance, inventory, and analytics agents in Studio. Connect to your POS, scheduling, and supplier systems.
Test internally, then ship to your restaurant customers with full observability.