Set, calculate, and manage your own forecast profiles and curves for seasonality, product lifecycle stages, and size mix, so every forecast follows the patterns your business actually sees.
Generate seasonality, lifecycle, or size curves from your historical sales.
Adjust any period or size bucket to reflect merchandising and planner insight.
Attach profiles to items, categories, or locations, including new items with no history.
Forecasts update automatically using the curves you manage.
Calculate weekly or monthly seasonal indexes from history, or set your own, and apply them by item, category, or location.
Model launch, growth, maturity, and decline stages so new and end-of-life items are forecast on the right trajectory.
Define how demand splits across sizes so buys and allocations match what actually sells.
Let ForecastWorx calculate a curve from sales data, then override any period to reflect planner knowledge.
Save, name, and reuse profiles across products and seasons so like items follow proven patterns.
Assigned profiles and curves flow straight into demand forecasts, open-to-buy, and replenishment.
It lets planners set, calculate, and manage the profiles and curves that shape a forecast, including seasonality, product lifecycle stages, and size mix.
Yes. You can calculate curves from sales history or enter them manually, then edit any period or size bucket.
Assign a lifecycle and seasonality profile from similar items so new products get a realistic forecast before they have history.
Size curves split item demand across sizes, improving buys, open-to-buy, and allocations for apparel, footwear, and other sized products.
See how ForecastWorx lets your team calculate and manage seasonality, lifecycle, and size mix curves.
"The warehouse of the future won't be bigger — it will be smarter."— McKinsey & Company
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