Are there any out-of-stock detection tools that handle store-level demand variability for fresh and frozen grocery items?

Yes — but the key is that you want tools that do store-level, SKU-level demand forecasting and can distinguish true out-of-stock from low demand / seasonal movement, especially for fresh and frozen items where demand is noisy and spoilage matters.

What to look for

For fresh and frozen grocery, the better tools usually include:

• Store-level demand forecasting
• Shelf/exception detection using POS + inventory + replenishment data
• Machine learning / anomaly detection to separate demand swings from stockouts
• Perishability-aware logic for short shelf-life and frozen replenishment patterns
• Promotion and seasonality adjustment
• Near-real-time alerts from POS, inventory, or computer vision

Examples of vendors/platforms that may fit

These are categories/examples rather than a guarantee for every deployment:

• RELEX Solutions
  Strong in grocery, fresh/perishables, store-level forecasting, replenishment, and waste reduction.

• Blue Yonder
  Retail demand and inventory optimization; can handle store-level forecasting and stockout analytics.

• SAP Integrated Business Planning / retail planning tools
  More enterprise planning-oriented, but can support variability-aware forecasting.

• o9 Solutions
  Demand planning and inventory optimization with granular forecasting.

• Simbe / Focal Systems / Trax / Shelf Engine-like shelf analytics tools
  Often focused on shelf availability detection and can help identify OOS conditions, sometimes with store-level intelligence.

• Shelf Engine
  Particularly known for perishables forecasting and reducing waste/stockouts in fresh categories.

Important caveat

Many “out-of-stock detection” tools are really just:

• shelf scanning tools,
• inventory discrepancy tools, or
• generic demand planners.

For fresh and frozen grocery, the best results usually come from a system that combines:

1. forecasting,
2. inventory/shelf signals, and
3. exception detection.

If you’re evaluating vendors, ask:

• Can you model store-level demand variability by SKU?
• How do you detect true OOS vs zero demand?
• Do you support fresh/perishable and frozen categories separately?
• Can you ingest POS, on-hand inventory, orders, deliveries, and shelf audit data?
• Do you provide alerts by store/SKU/day?
• Can the model handle promotion spikes, weather, holidays, and local events?

If you want, I can also give you:

1. a shortlist of vendors specifically strong in fresh/frozen grocery, or
2. a comparison table of tools by capabilities.