Restaurant Operations Software

AI that runs the back of house so your team can focus on the front.

From menu engineering to staff scheduling to compliance — give restaurant operators an AI assistant that understands their business as well as they do. Built into your software, powered by Sidenet.

Operators are drowning in data they can't act on.

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.

Operational intelligence, built into your platform.

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.

Restaurant Ops — Menu Performance
Dashboard
Menu
Schedule
Inventory
Reports
Margin by Item (March)5 low-margin
Wagyu Burger18%
Smash Burger52%
Caesar Salad68%
Sidenet
Which dishes have the lowest margin this month?
Wagyu Burger at 18% — food cost up 23%. Swap for Smash Burger (52% margin). Want the full analysis?
via Menu Agent
Routing
Orchestrator
Menu
Compliance
Inventory
Analyst

AI assistants built for restaurant operations.

Each of these assistants can be built, configured, and shipped using Sidenet — no AI engineering required.

Menu Engineering Assistant

Analyses menu item performance by margin, popularity, and food cost. Recommends swaps, pricing changes, and seasonal adjustments.

Sidenet Assistant
Which dishes have the lowest contribution margin this month? Suggest replacements.
Bottom 5 by contribution margin (March): 1. Wagyu Burger — 18% margin (food cost up 23% since Jan) 2. Lobster Risotto — 21% margin (low volume, high waste) 3. Truffle Fries — 24% margin (truffle oil price spike) 4. Ahi Tuna Tartare — 26% margin (portion size too large) 5. Lamb Shank — 27% margin (seasonal supplier pricing) Suggestions: • Swap Wagyu Burger for Smash Burger (est. 52% margin, trending well at other locations) • Reduce Ahi Tuna portion by 20% — still generous, saves £1.80/plate • Pause Lobster Risotto until supplier costs normalise Want a full margin impact analysis?
Value

Data-driven menu decisions. Higher margins without guesswork. Operators stop relying on intuition and start using their own data.

Compliance Assistant

Ensures schedules and operations meet labour laws, health codes, and shift regulations.

Sidenet Assistant
Is next week's schedule compliant with the new overtime rules?
Checked next week's schedule against updated overtime regulations: ⚠️ Maria G. — Scheduled 48hrs. New limit: 44hrs/week. 4hrs over. ⚠️ James T. — Consecutive shifts without 11hr break on Wednesday/Thursday. Non-compliant. ✅ All other staff within limits Suggest: Move Maria's Thursday closing shift to Ahmed (available, under hours). Add 1hr gap between James's Wednesday close and Thursday open. Want me to apply these changes?
Value

Proactive compliance. Fewer fines, fewer surprises. The schedule gets fixed before it becomes a problem.

Inventory & Supply Assistant

Forecasts ingredient demand based on reservations, trends, and historical data. Flags potential shortages.

Sidenet Assistant
Based on next week's reservations, will we have enough salmon?
Salmon forecast for next week: • Projected demand: 38kg (based on 420 covers, 28% salmon dish selection rate) • Current stock: 12kg • On order: 15kg (arriving Monday) • Shortfall: ~11kg by Thursday Recommend adding 12kg to Tuesday's supplier order. Your preferred supplier (Ocean Fresh) has availability — confirm?
Value

Less waste. Fewer 86'd items. Better supplier management. The assistant catches shortfalls before the kitchen does.

Analyst Assistant

Turns raw ops data into actionable insights through natural language queries.

Sidenet Assistant
Compare labour cost percentage across our three locations for Q1.
Q1 labour cost as % of revenue: King Street: Jan 28% / Feb 27% / Mar 29% / Q1 Avg 28% Waterfront: Jan 32% / Feb 34% / Mar 31% / Q1 Avg 32% High Street: Jan 26% / Feb 25% / Mar 27% / Q1 Avg 26% Waterfront is 4-6pp above the other locations. Main driver: overstaffing on Monday-Wednesday lunches (avg 2.1 covers per server vs 3.4 at King Street). Reducing Waterfront lunch staff by 1 server Mon-Wed would save ~£2,800/month.
Value

Operators get answers instead of exports. Multi-location insights in seconds. Identifies specific, actionable savings.

Go live in your restaurant platform in days.

1

Embed the chat

Embed the Sidenet chat in your restaurant ops software with a single line of code.

2

Configure your agents

Configure menu, compliance, inventory, and analytics agents in Studio. Connect to your POS, scheduling, and supplier systems.

3

Ship & monitor

Test internally, then ship to your restaurant customers with full observability.

Your restaurant customers want smarter ops. Give them AI that delivers.