🍽️ Restaurants & Food Court Sector
Your Restaurant Running Smoothly
From Order to Delivery
Challenge, Solution & Return
Silent Waste Eating Your Restaurant's Profits
The Challenge
Three Invisible Daily Loss Sources
Kitchen waste loses 15-20% of food costs. Manual order errors cause direct losses and upset customers. Without menu analysis, unprofitable dishes stay on the menu. Most restaurant owners don't know the actual scale of these losses.
The Solution
Digital System Connecting Kitchen, Cashier, and Store
Miza AI sends the order from the cashier screen directly to the kitchen display KDS without paper or handwriting. Every sold item is automatically deducted from kitchen inventory. Daily analytics show most profitable items and peak times.
The Return
Higher Profits and More Satisfied Customers
Our restaurant clients achieve: 30% reduction in food waste, 50% decrease in order errors, and 20% increase in average order value through smart recommendations — within the first two weeks of implementation.
What Restaurants Achieve with Miza AI
🗑️
30%
Food waste reduction
❌
50%
Order error reduction
📊
20%
Average order value increase
💰
25%
Overall profit margin improvement
Solutions
Integrated Restaurant Management System
🖥️
Restaurant POS
- Dine-in, takeaway, delivery
- Order edits and kitchen notes
- Bill splitting
- ZATCA-compliant invoice
👨🍳
Kitchen Display System KDS
- Orders reach kitchen instantly
- Order priorities by time and type
- Customer notification when ready
- Preparation time statistics
📦
Kitchen Inventory
- Actual ingredient consumption
- Item recipes and costs
- Ingredient depletion alerts
- Daily waste report
🛵
Delivery Management
- Real-time GPS driver tracking
- HungerStation & Jahez integration
- Zone and delivery pricing
- Delivery performance reports
📊
Restaurant Analytics
- Most sold and profitable items
- Peak and slow period analysis
- Branch performance comparison
- Daily P&L report
🎁
Loyalty & Customer Experience
- Loyalty points per order
- Targeted coupons
- Auto post-visit satisfaction survey
- Most frequent customer analysis