Import your data
Supports CSV with comma or semicolon delimiter. Dates in YYYY-MM-DD or DD/MM/YYYY. Required columns: date, sku, units (case-insensitive). Multiple SKUs supported — all processed automatically. Data must be weekly frequency — one row per SKU per week.
Optional: promo column (0/1). Add a fourth column called
Optional: promo column (0/1). Add a fourth column called
promo with 1 for promotional weeks and 0 for normal weeks. Historical promo weeks are excluded from model fitting so parameters reflect true baseline demand. Future promo weeks (units left blank) are flagged on the forecast chart as weeks requiring planner enrichment — the tool forecasts baseline only, promo uplift is yours to apply.⇧
Drop CSV or click to browse
comma or semicolon · DD/MM/YYYY or YYYY-MM-DD · weekly · multiple SKUs · optional promo column
synthetic_fmcg.csv · 3 SKUs · 468 rows
Data cleaning —
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⚠ Cleaning was changed — forecast results may be stale. Re-run to update.
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Forecast + PI + all SKUs
{ }
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