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AI operating intelligence for food businesses

Stop ordering tomorrow’s food with yesterday’s numbers.

Falah Wave forecasts demand for every item in every outlet, then tells your team exactly what to prep, what to buy, and where your margin is leaking — using the POS and inventory systems you already run.

Works alongside your existing POS · No system replacement · Arabic & English

Tomorrow · Thu Olaya branch

Forecast demand

Chicken shawarma, all dayparts

412 units

Recommended purchase

Chicken thigh · order before 16:00

38 kg

Expected waste

If you order at your usual quantity

11 kg

Margin action

Cut the thigh order, hold the marinade prep

−9 kg

Representative interface. Figures are illustrative, not customer results.

The daily guess

Every order is a bet placed before you know the outcome.

  • Demand shifts with the weekday, the weather, the season, events and promotions — but the order sheet doesn’t.
  • Over-order and it spoils. Under-order and the item is off the menu by 8pm.
  • POS, inventory, delivery and purchasing each hold one piece of the answer, and none of them talk.
  • By the time the report shows the problem, the margin is already gone.

You don’t need another dashboard of what happened. You need to know what happens next — and what to do about it.

How it works

Connect. Predict. Act.

  1. Connect

    Falah Wave reads the data your business already generates — POS, inventory, delivery platforms, promotions, suppliers — plus external signals like weather, events and seasonality. No new hardware, no system replacement.

  2. Predict

    AI forecasts demand by outlet, item, day and hour, and flags where stock, prep or purchasing is about to go wrong.

  3. Act

    Your team gets specific recommendations — prep this much, order this quantity, promote this item — not another chart to interpret.

The platform

One intelligence layer. Every operating decision.

WaveForecast

Item-level and outlet-level demand forecasting using your history plus external signals.

WaveStock

Tracks inventory and predicts shortages, overstocks and expiring ingredients before they cost you.

WaveBuy

Turns forecast consumption into recommended purchase quantities and supplier orders.

WaveMenu

Analyses profitability, demand and ingredient use to guide smarter menu decisions.

WaveWaste

Finds recurring waste patterns and recommends the operational change that stops them.

Wave Copilot

Ask in plain language and get an answer you can act on.

  • “What should we order tomorrow?”
  • “Why did food cost increase this week?”
  • “Which menu items should we promote tonight?”

The platform is available in Arabic and English.

Coming soon AI waste vision — cameras and smart scales that classify and quantify kitchen waste automatically.

What changes

Where the money comes back.

Five places a food business loses margin every week — and the five places a working forecast puts it back.

  • Lower ingredient waste
  • Lower inventory carrying costs
  • Fewer stockouts and lost sales
  • Better menu margins
  • More accurate purchasing

Your numbers

What is waste costing you right now?

Put in your own figures. The number updates instantly and no email is required to see it.

8%

Industry estimates commonly fall in this range — adjust to your own figure.

15%

The improvement you’re aiming for. This is your target, not a Falah Wave result.

This is an illustrative estimate based on the figures you entered, not a projection of results. Actual outcomes depend on your operation, data quality and how recommendations are applied.

Want the detailed written breakdown, with the assumptions spelled out?

Estimated annual recovery

A ±20% range around a point estimate of .

Your current annual waste cost
Estimated monthly recovery

currentMonthlyWasteCost = outlets × spendPerOutlet × wastePct estimatedMonthlyRecovery = currentMonthlyWasteCost × reductionPct estimatedAnnualRecovery = estimatedMonthlyRecovery × 12

Why Falah Wave

Built to turn food data into decisions.

You see it coming.

Demand and operational risk are forecast before they hit your margin, not reported after.

Keep your POS.

Falah Wave works above the systems you already run — no rip-and-replace, no retraining your floor staff.

It understands your calendar.

Models account for Ramadan, Hajj and Umrah seasons, weekends, local events, weather and regional buying behaviour.

It gets sharper every week.

Every forecast, order, sale and waste event improves the next recommendation.

How categories of food-operations software compare with Falah Wave across five capabilities.
Capability POS & reporting tools Waste-tracking tools Falah Wave
Tells you what happened
Predicts demand aheadLimited
Recommends what to purchasePartial
Prevents waste before it happensPartial
Connects it all in one layer

Categories of software, not named products. Capabilities vary between individual vendors.

Built for your operation

Whatever you run, the guesswork is the same.

Restaurant & café groups

One view across every branch, per-outlet forecasting, and a purchasing standard your branch managers actually follow.

Cloud kitchens

Hourly and daily demand forecasting across delivery platforms, with prep quantities that match the volume actually coming.

Hotels & catering

Event and seasonality signals for volume swings, buffet waste prevention, and supplier orders generated from the forecast.

Food retail

Expiry prediction on fresh, item-level demand on fast movers, and purchasing accuracy across the category.

Multi-brand groups

Central intelligence across brands and locations, with the operating detail each concept needs kept separate.

Who’s behind it

Built by people who know AI and know kitchens.

Dr Sadia Rafiq, Founder and CEO of Falah Wave

Dr Sadia Rafiq

Founder & CEO

Leading Falah Wave’s vision, strategy, partnerships and execution, with the mission of transforming food operations through artificial intelligence and data-driven decision-making.

Behind her is a multidisciplinary team spanning artificial intelligence and machine learning, data science, food science, restaurant and hospitality operations, supply chain and procurement, and software engineering — so the forecast is built by people who understand both the model and the kitchen it runs in.

  • AI & machine learning
  • Data science
  • Food science
  • Restaurant operations
  • Supply chain & procurement
  • Software engineering

33.1% → 27.9%1

Saudi Arabia has cut its national food loss and waste indicator to approximately 27.9% — real progress, and a signal of how much value is still sitting in the gap.

1. Saudi national food loss and waste indicator, latest 2025 national measurement. Source citation pending client confirmation.

Aligned with Saudi Vision 2030 priorities for sustainability, food security and digital transformation.

Plans

Priced per outlet. Start with one, scale to the group.

Pricing scales with the number of connected outlets. Onboarding and integration are quoted separately, so you get a figure built around your operation rather than a list price that doesn’t fit it.

Starter

  • Analytics
  • Inventory intelligence
  • Basic forecasting
Request pricing

Growth

  • Advanced AI forecasting
  • Procurement recommendations
  • Menu intelligence
  • Waste optimisation
Request pricing

Enterprise

  • Multi-brand, multi-location
  • API integrations
  • Central management
  • Dedicated AI models
  • SLA & advanced analytics
Request pricing

Start with one outlet. Expand to the group when it’s proven.

Questions

The things operators ask us first.

Next step

See what tomorrow looks like in your kitchen.

Book a 20-minute demo, or send us 30 days of POS data and we’ll come back with a written estimate of what you can recover.

Who you’ll speak to
Dr Sadia Rafiq — Founder & CEO
Direct contact
Contact details to be supplied before launch.

Request a demo

A few details so the call is useful rather than generic.

We use WhatsApp to schedule.

The system name is enough — we don’t need the version.