AI Engines for Restaurant Management Systems

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Our AI engines are designed for Restaurant Management platforms looking to embed AI-driven forecasting, labour optimisation and operational planning into core workflows.

Embedding SolvedBy.Ai engines extends your platform with forecasting and optimisation capabilities, improving how demand is predicted and translated into staffing, preparation and service decisions.

These engines integrate via API into your architecture, enabling you to enhance planning accuracy and operational performance without changing workflows or user experience.

What solutions we power in restaurant management systems

AI Demand Forecasting

To forecast covers, bookings and transactions by location and time.
Provides a forward-looking view of demand that reflects both historical patterns and external drivers.

AI Labour Demand Forecasting

To translate demand forecasts into staffing requirements by role and shift.
Ensures labour demand is aligned to expected workload across service periods.

AI Staff Scheduling

To generate optimised schedules based on demand, availability and operational constraints.
Balances service levels with labour efficiency while adapting to changing demand conditions.

AI Task Scheduler

To assign and sequence tasks across service and prep windows based on demand and operational priorities.
Ensures tasks are completed at the right time to support service flow and operational consistency.

AI Production Scheduling

To generate hour-by-hour preparation plans aligned to demand forecasts and kitchen constraints.
Aligns kitchen output with expected demand to reduce waste and improve service readiness.

Case Study

How it works

1

Forecast the future

SolvedBy.Ai engines ingest bookings, transaction and operational data via API, alongside external demand drivers, to generate intra-day forecasts across service windows. Forecasts are updated at a granular level to reflect how demand builds and shifts throughout the day.
2

Decide the outcome

Forecast outputs are processed into coordinated decisions across front-of-house and kitchen operations, including staffing curves and preparation schedules. These are generated through optimisation layers that account for service timing, kitchen capacity and labour constraints.
3

Execute in your platform

Decision outputs are returned via API and embedded within your platform’s scheduling and operational workflows, where managers review, adjust and execute plans in line with live service conditions.
4

Improve

Service-level actuals, execution data and timing variances are fed back into the models, enabling continuous retraining and recalibration as demand patterns and operational behaviour evolve.

AI Engines that can be used in Restaurant Management

The engine powers accurate demand forecasting across products, locations and time horizons using internal and external data.
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The addition of third part data sets enhances forecasting accuracy by incorporating external drivers such as weather, events and market signals.
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The engine drives optimisation of inventory targets, safety stock and buffer levels based on demand and variability.
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Enables precise ordering and replenishment decisions aligned to predicted demand.
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The engine optimises the allocation of labour and assets based on forecast demand and operational constraints.
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The engine optimises production schedules across resources, machines and shifts, balancing capacity, constraints and demand to maximise efficiency and ensure on-time delivery.
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Price optimisation supports pricing and promotion decisions based on expected demand and utilisation impact. Prices adjust in response to changing conditions rather than reacting late through blanket discounts.

In leisure, this helps optimise membership pricing, day passes, peak and off-peak rates, and promotional offers, protecting revenue while improving utilisation across quieter periods.
Opening hours optimisation evaluates when sites or facilities should operate based on expected demand and financial impact. It identifies which hours contribute value and which create unnecessary cost.

This allows leisure operators to adjust opening times by site or facility, maintaining access when demand exists while reducing exposure during low-usage periods.
Budget forecasting builds budgets based on expected demand rather than fixed assumptions. Forecasts adjust as conditions change, giving finance and operations teams clearer visibility of risk and cost pressure.

For leisure organisations, this improves control, reduces variance, and limits late-year corrective action when demand shifts.
(Best suited to asset-heavy leisure operations)

Predictive maintenance identifies early failure risk in critical assets that affect safety, availability, or customer experience.

In leisure, this applies to equipment such as pool systems, HVAC, rides, lifts, and facility-critical infrastructure, reducing unplanned downtime and protecting service and safety.

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FAQ

Restaurant Management partners typically use Forecasting for covers, orders and sales, Demand for staffing by role/station (kitchen, bar, FOH, delivery), Scheduling for rotas, and specialised food production scheduling for prep, batch cooking and make‑lines. Forecasts can be driven by reservations, walk‑ins and delivery channels simultaneously.

Typically via an API that reads POS/reservation data and writes production plans to your existing screens. Some partners also push “prep tasks” to a kitchen display system (KDS) or task list.

When a partner wants to differentiate their product with a shared “intelligence layer” that benefits all customers—especially in a specific vertical (e.g., restaurants, retail) or region. It’s useful when the data is not customer-private and has predictive value across the partner’s install base.

When the driver is genuinely customer-specific and materially impacts demand (e.g., a retailer’s promotion calendar or a restaurant’s reservation book). This is often the fastest path to improving forecast accuracy beyond what generic drivers can deliver.

Yes. In addition to shifts, we can schedule specific tasks with durations, priorities and required skills, such as cleaning, replenishment, opening/closing, or prep tasks in restaurants.

Only if you want location-based enrichment (e.g., weather). If your vertical doesn’t use it, you can ignore it. Where it matters (multi-site retail/restaurant), it’s often worth capturing because it improves forecast accuracy.

Examples by vertical:

  • POS/Retail: feature = transactions; exogenous = promotions, holidays, weather
  • Inventory: feature = SKU demand; exogenous = price changes, campaigns, local events
  • Restaurant: feature = covers/orders; exogenous = reservations, events, weather

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It’s well suited to QSR, casual dining, cafés, and any operation with batch cooking, prep cycles, holding cabinets, or predictable peak periods. It can also work for central kitchens and multi‑site groups.

Our offering for all partners uses Forecasting as the foundation, this is our north star and something we are world class at. WFM and Restaurant platforms typically add Demand and Scheduling. ERP and Supply Chain systems tend to focus on Forecasting, Stock/Inventory, and sometimes Resource Scheduling. Inventory platforms use Forecasting plus Stock control / Inventory optimisation. We agree the initial scope with you and can expand to additional AIs over time.
TL;DR for AI Forecasting

TL;DR

SolvedBy.AI enables restaurant management platforms to embed AI forecasting, staffing, tasking and prep planning via API. We forecast covers and demand, convert predictions into staffing and production plans, and support a forecast → decide → execute → improve loop—while you retain restaurant workflows, UI and customer ownership.
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AI Engines
AI Engines Forecasting AI Demand AI Scheduling AI Inventory AI Resource Scheduling AI Task Scheduler AI Production Scheduling AI Exogenous Data
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Partner Solutions Workforce Management Platforms Enterprise Resource Planning Platforms Supply Chain Management & Planning Platforms Restuarant Management Systems Point of Sale Systems Inventory Management Software Budgeting & Forecasting Software
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