Turn Kitchen Intelligence into Profit

For Enterprise Grocery Retailers

The Kroger Math

For Kroger's $148B operation:

  • • Fresh produce waste reduction: $2.8M saved
  • • Stockout recovery: $5.2M recovered
  • • Total annual impact: $8M+
2,667%
ROI on $300K investment

How CHEF AI Captures Kitchen Intelligence

Our AI-powered cooking devices use advanced sensors to understand exactly what, when, and how your customers cook.

DEVICE SENSORS

Computer Vision

Identifies ingredients

Thermal Sensors

Tracks temperatures

Weight Sensors

Measures portions

Time Tracking

Cooking duration

REAL-TIME DATA PIPELINE

Event Stream Processing (Kafka-based) → 50K+ devices → Real-time

CHEF AI INTELLIGENCE PLATFORM

AI Processing Engine

Pattern detection, meal identification, behavior analysis

Data Warehouse

Historical trends, predictive models, benchmarking

Insights Dashboard

Real-time alerts, actionable recommendations

DELIVERED TO YOUR SYSTEMS

RESTful APIs
Webhooks
Data Exports
Live Dashboards

Precision-Targeted Advertising

Convert kitchen insights into perfectly-timed promotions that drive immediate purchases.

Replenishment Targeting

• Customer cooked chicken 3 days ago
• Average restock cycle: 4 days
• Action: Send chicken promo tomorrow
• Result: 73% conversion rate

Meal Completion Ads

• Detected: Taco ingredients cooking
• Missing: Avocados for guacamole
• Action: "Complete your meal" ad
• Result: 41% add to cart

Targeted ads based on cooking behavior achieve 8.3x higher ROI than demographic targeting

Viral Recipe Intelligence

Capture fleeting food trends while they're hot. Foodfluencers create recipes that explode for 2-3 weeks then vanish.

Case Study: The Cottage Cheese Pizza

• 300% spike detected in 48 hours

• Created "Trending Now" bundle

• $175K weekly revenue

• 20% higher margins

See What They Cook, Not Just What They Buy

Traditional View

Customer buys chicken, broccoli, potatoes

CHEF AI Reveals

Tuesday meal prep for 4 lunches vs. Saturday family dinner

Result

25% better forecasting accuracy

Game-Changing Use Cases

Smart Meal Bundling

Traditional basket analysis sees correlation. We see causation.

Result: Purposeful bundles with 40% higher attachment rates

Viral Recipe Responsiveness

Detect trending combinations 5-10 days before POS data

Stock up while competitors stock out during the 2-3 week trend window

Fresh Category Optimization

Know optimal ratios of ready-to-cook vs. needs-ripening produce

Turn "manager's special" markdowns into strategic inventory flow

Built for Scale, Protected from Competitors

Your Data Advantage Grows

Today: 50,000 devices (Q2 2026 launch)
Year 2: 500,000 devices (store-level insights)
Year 3: 2M+ devices (neighborhood patterns)

Enterprise Features

Tenant-isolated APIs: Walmart never sees your insights
RESTful APIs with 99.9% uptime SLA
Co-development: We'll build the connectors you need

90-Day Pilot: Prove It Works

1

Month 1

API integration, baseline metrics

2

Month 2

Focus on one high-waste category

3

Month 3

Demonstrate 10%+ improvement

Investment: $75K pilot fee | Projected return: $200K+ in waste reduction

Why Kroger Should Move First

While competitors guess at consumption patterns, you'll know which TikTok recipes to bundle TODAY, when bulk chicken actually gets cooked, and whether promotions drive consumption or just pantry loading.

The kitchen is the last blind spot in grocery data. CHEF AI illuminates it.

Partner with Us to Co-Develop the Future

Your customers cook with our devices. Your business profits from their patterns.