Definition
A seasonal naive forecast uses the most recent observed value from the same seasonal position. With daily data and a seven-day cycle, the next Monday repeats the latest observed Monday. It is a benchmark method, not evidence that demand will remain unchanged.
Why It Matters
- A complex replenishment model should demonstrate useful improvement over a transparent alternative.
- The Commerce Intelligence OS framework needs a reference forecast that buyers can reproduce when reviewing model-driven stock decisions.
How It Works
- Choose the target, time interval, seasonal cycle, and horizon. Record whether the series represents unconstrained demand or recorded sales.
- At each forecast date, repeat the last observed seasonal cycle across the required horizon. Use only observations available at that date.
- Compare candidate and baseline errors on the same products, dates, and horizons. Review operationally important misses as well as aggregate error.
- Flag promotions, stockouts, moving holidays, and structural changes that make the repeated period unrepresentative. Keep those limitations beside the benchmark.
Ecommerce Example
Context: Illustrative example: the last observed Monday sold 80 units. A seven-day seasonal naive method forecasts 80 for the coming Monday.
Recommended move: A buyer compares a candidate forecast of 110 with that baseline after demand is observed, using the same eligibility rules for both.
Why it matters: One correct week does not establish superiority. This hypothetical example shows a review method rather than an iKawn performance result.
iKawn Framework
Anchor
The iKawn framework stores a simple reference beside each candidate forecast.
Align
Match product, planning date, and lead time before comparison.
Compare
Explain incremental forecast value in terms relevant to buying decisions.
Review
Keep known calendar and availability exceptions visible.
Concise Summary
A seasonal naive baseline repeats the latest matching season. Use it to test whether added model complexity delivers better planning evidence.