AI'ın Restoran ve Yemek-İçecek Sektöründe Kullanımı

Restoran + AI = operasyon + müşteri experience. Menu + pricing + rezervasyon + mutfak. Türkiye F&B sektörü hızla adapte ediyor.

Use Case’ler

Menü Optimization

"AI menu engineering:

Klasik:
- 4 kuadrant (star, plowhorse, puzzle, dog)
- Manual analiz

AI:
- Sales velocity per item
- Margin per item
- Time on menu
- Customer review sentiment
- Order combo (pair sıklık)
- Seasonal demand

Action:
- Star (high sales + margin): merkezi yerleştir
- Plowhorse (high sales + low margin): fiyat ↑ veya cost ↓
- Puzzle (low sales + high margin): promote
- Dog (low sales + low margin): drop

Tools:
- Toast Insights
- Square + AI
- TR: iyzico Restaurant
"

Dynamic Pricing

"Dinamik fiyatlandırma:

Use case:
- Happy hour discount
- Off-peak pricing
- Festival surge
- Item-level pricing (Aged Steak vs Basic)
- Geographic (turist alanı)

⚠️ Etik:
- Şeffaf disclosure
- Aynı item aynı zaman aynı fiyat (genel)
- Personal price discrimination yasal gri
- Customer trust

Tools:
- Toast Dynamic Pricing
- Lavu

TR uygulama:
- Yemek Sepeti dinamik kargo
- Trendyol Yemek surge
- Henüz menu pricing sınırlı
"

Rezervasyon + Yer

"AI rezervasyon:

Optimization:
- Table assignment (party size)
- Turnover prediction
- Walk-in vs reservation balance
- No-show prediction
- Overbooking strategy

Tools:
- OpenTable + AI
- Resy
- SevenRooms
- TR: GarsoNet, Restpost

Müşteri tarafı:
- Voice (Alexa, Google)
- Text bot
- App
- Walk-in suggestion (real-time)
"

Mutfak Operations

"Mutfak AI:

KDS (Kitchen Display System):
- Otomatik prioritize
- ETA per item
- Course pacing
- Inventory link

Predictive prep:
- Demand forecast
- Mise en place planning
- Waste reduction

Sensors:
- Pişirme zaman alarm
- Sıcaklık takip
- Soğutucu monitoring
- Hijyen (HACCP)

Tools:
- Galley Solutions
- Apicbase
- TR: yerli ekosystem geliyor
"

Stok + Sipariş

"Inventory AI:

Demand forecast:
- Daily/weekly
- Mevsim
- Hafta sonu
- Etkinlik (futbol maçı, holiday)

Auto-reorder:
- Bayer ile entegre
- ABC inventory analysis
- Shelf life optimization
- Stockout prevent

Food cost:
- Real-time margin
- Recipe cost
- Waste tracking
- Yield calculation

Tools:
- MarketMan
- BlueCart
- TR: PosMatik, Logo Restaurant
"

Personalization

"Customer AI:

Profile:
- Past order
- Allergen (peanut, gluten)
- Preference (vegan, halal)
- Visit pattern
- LTV

Personalization:
- Menu recommendation
- Loyalty offer
- Birthday surprise
- New menu announce (segment)

Tools:
- SevenRooms
- Bloom Intelligence
- Marketing CRM (HubSpot)
"

Yemek Servisi Robot

"Service robots:

Use case:
- Yemek taşıma (table to back)
- Bulaşık bus
- Greet bot

Models:
- Pudu Robotics BellaBot
- BearRobotics
- 7700-25000 TL kira / ay

ROI:
- Labor shortage
- Waiter efficiency ↑
- Novelty (TR: yeni)
- Sustained: hibrit (robot run, waiter interact)
"

Marketing + Social

"Restoran social media + AI:

Content:
- Instagram post (foto + caption)
- TikTok reels
- Story
- Menu announce
- Behind scene chef

Tools:
- Canva + AI (görsel)
- ChatGPT (caption)
- Hootsuite schedule
- Local guide (Google My Business)

Local SEO:
- Google Business Profile
- Review response (AI)
- Photo update
- Q&A
- Event post
"

Detay: Instagram İçerik, TikTok İçerik

Drive-Through (Voice AI)

"AI drive-through:

McDonalds, Wendy's pilot
TR: drive-through yaygın değil

Voice AI:
- Multi-language (TR + EN tourist)
- Accent handle
- Upsell suggest
- Order accuracy 95%+
- Wait time ↓

Tools:
- ConverseNow
- Presto
- Hi Auto
"

Delivery Aggregator

"Yemek Sepeti, Getir Yemek, Trendyol Yemek + AI:

Restoran tarafı:
- AI fiyat optimum (item by item)
- Photo AI generate (menu)
- Description optimize
- Search ranking
- Customer review response

Müşteri tarafı:
- Personalized feed
- New restaurant suggest
- Promo timing
- Dietary preference

KPI:
- Bid başarı
- Cost per order
- Customer LTV
"

Türkiye F&B + AI Ekosistem

"TR sektör:

Lider:
- McDonald's TR
- Burger King TR
- Domino's Pizza
- Köfteci Yusuf
- Aslan ay (Trendyol Yemek hızlı büyüyen)

POS sistem:
- iyzico Restaurant
- Logo Restaurant
- ParaPara
- Mikro
- TR: GarsoNet

Cloud kitchen:
- Cookpad
- Local chain (Migros Hızlı Yemek)

Loyalty:
- Multipuan
- BIM Avantaj
- A-101 BurakKart

KOBİ adoption:
- Yavaş ama büyüyor
- Mobile-first
- Subscription model
"

Müşteri Deneyim

"Hibrit deneyim:

Sipariş:
- QR menu (post-COVID)
- Tablet
- App pre-order
- Waiter (premium)

Servis:
- AI: ETA, status, customization
- İnsan: greeting, recommendation, service

Ödeme:
- QR + iyzico, ParaPara
- Split bill AI
- Tip suggestion AI

Sadakat:
- Otomatik puan
- Personalize offer
- Birthday remind
"

Sustainability

"Yeşil restoran AI:

Food waste:
- AI predict batch size
- Daily special (waste use)
- Donation logistics

Energy:
- Smart HVAC
- Lighting AI
- Equipment efficiency

Sourcing:
- Local supplier matching
- Carbon footprint per item
- Sustainable certification track
"

Yaygın Hatalar

1. AI replace waiter all: Customer experience loss
2. Stock forecast yok: Out-of-stock viral negatif
3. Review ignore: Reputation damage
4. Robot novelty obsess: Maintenance + reliability
5. Multiple system silo: Data scattered
6. Customer privacy ignore: Email spam
7. Local SEO ihmal: Google Business optimize

Sonraki Adımlar

• Müşteri Hizmeti Chatbot
• Yemek Tarif Menü
• Instagram İçerik
• E-ticaret

Özet

Restoran + AI = operasyon + müşteri exp. Menü + fiyat + rezervasyon + mutfak + sadakat. Anahtar: hibrit (robot + insan), KOBİ erişilebilir, müşteri kişisel hizmet bekler. TR’de büyük zincir lider, KOBİ takip ediyor.