Stock Sentry learns your sales patterns to provide accurate predictions year-round.

Many products sell at different rates by season. Stock Sentry tracks these patterns and adjusts predictions so alerts remain accurate whether it's peak season or off-season.

1. Monthly Analysis: Sales aggregated by month across years
2. Baseline Calculation: Average monthly sales establish baseline
3. Multiplier Generation: Each month receives a multiplier
4. Prediction Adjustment: Current velocity adjusted by multiplier

Example: 100 units/month normally, 180 in December = 1.8 multiplier.

Navigate to Settings > Seasonal Adjustments.

Enable/Disable: Turn seasonal adjustments on/off globally.

Lookback Period:

• 12 months: Minimum for basic patterns
• 24 months (recommended): Year-over-year comparison
• 36 months: Most accurate for consistent products

Manual Overrides: Set custom multipliers for specific months when historical data doesn't reflect expectations.

Works best for: Holiday items, seasonal apparel, weather-dependent products, event-driven items.

Use caution with: New products, trending items, one-time viral products.

Recommended Settings:

• Established stores (2+ years): Enable with 24-month lookback
• Newer stores (<1 year): Disable initially, enable after 12 months

Wrong predictions during peak?

• Verify seasonal adjustments enabled
• Increase lookback to 24 months
• Set manual multipliers if needed

Too many off-season alerts?

• Enable seasonal adjustments
• Set lower multipliers for off-season months

Data Requirements: 12+ months history, 10+ sales/month for reliable multipliers.

Related: Velocity Calculations | Alert Thresholds

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