The data gap between
purchase and consumption
For the first time, see what happens after consumers leave the store. Shelfie captures real consumption data from 100K+ kitchens—giving you insights no other source can provide.
The $340 billion blind spot
CPG brands spend $340B annually on marketing with no visibility into what happens after the sale. Retailers lose $18B to shrinkage because demand forecasting is based on purchases, not consumption.
Purchase Data
You know what they bought.
- ✓ Transaction records
- ✓ Basket analysis
- ✓ Category performance
The Gap
You don't know what happens next.
- ✗ Did they use it?
- ✗ When did they use it?
- ✗ Did they waste it?
Consumption Data
Shelfie fills the gap.
- ✓ Real consumption velocity
- ✓ Waste patterns
- ✓ Substitution behavior
Solutions by industry
Tailored insights for your specific business challenges
See what happens after the sale
For the first time, understand the complete journey from purchase to consumption. Know which products get used quickly, which sit on shelves, and which get wasted.
See CPG Insights DemoPain Points
- ✗No visibility into post-purchase behavior
- ✗$340B marketing spend with no consumption feedback
- ✗Blind to regional consumption patterns
- ✗Can't measure true product-market fit
Shelfie Solutions
- ✓Real-time consumption velocity data
- ✓Regional trend analysis by ingredient/category
- ✓Waste rate benchmarks vs. competitors
- ✓Substitution pattern intelligence
Predict demand before it happens
Reduce shrinkage and optimize inventory with consumption-based demand forecasting. Know what customers will need before they know it themselves.
See Retail Insights DemoPain Points
- ✗$18B annual shrinkage industry-wide
- ✗Demand forecasting based on sales, not consumption
- ✗No visibility into household inventory levels
- ✗Missed opportunities for timely promotions
Shelfie Solutions
- ✓Consumption-based demand forecasting
- ✓Regional inventory optimization signals
- ✓Expiry-triggered promotional timing
- ✓Category velocity benchmarks
Understand home cooking patterns
Move beyond surveys and self-reports. Get anonymized home cooking frequency data for program design and consumer research. Shelfie provides consumption tracking data only — clinical interpretation requires licensed healthcare providers.
See Wellness Insights DemoPain Points
- ✗Self-reported nutrition data is unreliable
- ✗No visibility into home cooking frequency
- ✗Can't measure program engagement objectively
- ✗Missing the home cooking signal
Shelfie Solutions
- ✓Anonymized home cooking frequency metrics
- ✓Consumption pattern data by household type
- ✓Program engagement measurement
- ✓Population cooking trend analysis
Data capabilities
Granular consumption intelligence at scale
Regional Trends
Ingredient and category trends by geography
Consumption Velocity
Time from purchase to consumption by product
Waste Patterns
What gets wasted, when, and why
Substitution Intelligence
What consumers use when products run out
Seasonal Patterns
Consumption changes by season and events
Brand Affinity
Brand loyalty and switching behaviors
Privacy-first architecture
Enterprise-grade privacy and compliance built in from day one
Data Protection
- ✓k-Anonymity: Minimum 100 users per aggregation
- ✓City-level only: No precise location data
- ✓Opt-in required: Users explicitly consent to data sharing
- ✓No PII: All data is anonymized and aggregated
Compliance
- ✓GDPR compliant: Full data subject rights
- ✓CCPA compliant: California privacy law
- ✓SOC 2 Type II: Enterprise security standards
- ✓DPIA assessed: Data protection impact assessment
Request a demo
See how Shelfie data can transform your business decisions