Stop Losing Sales to Empty Shelves
Our AI detects stockouts with 90%+ accuracy—purpose-built for FMCG brands. Know exactly which stores need product, and fix voids before they impact your velocity.
Industry-Leading Accuracy
Static L13W sales analyses miss seasonality and promotional dynamics. Our models continuously adapt to your brand's specific data and evolving sales patterns.
Built for Revenue Recovery
Every void is lost revenue. Our platform doesn't just find problems—it solves them.
90%+ Accuracy
Our FMCG-specific models are trained specifically for your brand's patterns to deliver industry-leading accuracy. Your models adjust and learn from changes in demand.
Real-Time Detection
Identify stockouts within minutes, not days. Our streaming pipeline processes data as it arrives from retailers.
Adaptive Learning Models
Unlike tools that rely on static lookback analyses, Treater's models continuously learn from your brand's specific data. We detect seasonality shifts, promotional impacts, and category dynamics in real-time—adapting as your sales patterns evolve.
Adjustable Confidence Thresholds
Every void alert includes a confidence score. Adjust thresholds to your specific needs.
Solve the Right Problem
Not every empty shelf is the same. Treater distinguishes between different root causes—so you take the right action every time.
How Void Detection Works
From data ingestion to resolution in under 24 hours
Data Ingestion
POS, inventory, and distribution data flows into our pipeline
Adaptive Analysis
Models learn your brand's unique patterns—seasonality, promotions, and regional variations
Detection
Stockouts identified with store, product, and confidence scores
Auto-Resolution
Issues escalated to the right people with context to resolve
Ready to Capture Lost Revenue?
Join leading FMCG brands using Treater to maximize shelf presence across 20,000+ stores.