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AI / MLForecasting · Statistics
Time-Series Sales Forecasting
A time-series model forecasting daily product sales over a 4-week horizon.
01 · The problem
The business needed a reliable 28-day forward view of daily sales.
02 · Approach
- 1
Analyzed 3 years of daily sales data.
- 2
Ran ADF tests (p=0.83, confirming non-stationarity).
- 3
Decomposed trend/seasonality/residual and fitted Holt-Winters exponential smoothing.
03 · Outcome
Produced a 28-day forecast validated against held-out data.
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