Step 1
Capture Real Purchases
- Receipts
- Retailer integrations
- Email parsing
Fodeen captures real grocery purchases as they happen.
Intelligence System Overview
How the Fodeen Intelligence Layer Works
Fodeen transforms everyday grocery activity into structured intelligence - connecting what households buy, use, and consume to enterprise decision-making.
A continuous system that turns real-world behavior into actionable data.
The 4-Step Intelligence System
A clear flow from real purchases to enterprise action.
Core IP
Structure with the Catalog Intelligence Engine
- Normalize products
- Map ingredients
- Standardize units and attributes
Every item is transformed into structured, usable data.
Step 3
Build Household Intelligence
- Real-time inventory
- Consumption tracking
- Preferences and patterns
Fodeen understands how food is actually used in the home.
Step 4
Activate Enterprise Decisions
- Improve forecasting models
- Optimize assortment decisions
- Inform packaging strategy
- Accelerate product innovation
Household behavior becomes enterprise decision intelligence.
From Purchase to Insight
The system is continuous: each enterprise action improves the next cycle of household signal.
Every purchase improves the next decision.
Why This Approach Is Different
Traditional Food Data
- Transaction-focused
- Survey-based
- Delayed and incomplete
- No visibility into consumption
Fodeen Intelligence Layer
- Continuous household signal
- Real-world consumption behavior
- Structured and normalized data
- Direct link to enterprise decisions
Powered by Real Household Behavior
The consumer product is the engine that creates the signal. As households use Fodeen daily, data quality improves and enterprise intelligence gets stronger.
Continuous engagement drives continuous clarity.
This is not survey data or panel data - it is continuous, real-world household behavior.
Built for Scale
Built for grocery-scale item diversity: millions of SKUs, messy receipts, and continuous in-home signal.
Grocery-scale ingestion
Handles high-volume purchase events across channels so retailers and brands see a steady stream of real basket activity.
Food & product ontology
Maps products, ingredients, allergens, pack sizes, and units into one food-native model so comparisons hold across brands and categories.
Purchase-to-consumption pipeline
Turns what households buy into how they use it, so forecasting and innovation reflect demand after the sale, not only at checkout.
What This Enables
A direct line from household reality to enterprise outcomes.
- Forecasting based on consumption, not just purchases
- Assortment aligned to real usage
- Packaging optimized to reduce waste
- Product innovation grounded in real behavior
See It in Action
Explore how post-purchase intelligence can apply to your business.