Fashion moves in seasons — your planning engine needs to keep up. ForecastWorx handles the complexity of size-color-style matrices, seasonal lifecycle curves, and trend-driven demand so your assortments are optimized from pre-season through markdown.
ForecastWorx was built by planning professionals who have implemented solutions for 45+ Fortune 500 companies across retail, wholesale, CPG, and manufacturing. Every workflow, dashboard, and AI model in this solution was informed by the real-world challenges that planning teams face — from managing promotional demand volatility and seasonal shifts to optimizing safety stock across thousands of SKU-location combinations. Below, you will find the specific problems this solution addresses, the results you can expect, and the capabilities that make it possible.
// THE PROBLEMS WE SOLVE
A single silhouette can have hundreds of SKU combinations. ForecastWorx forecasts at the attribute level and rolls up intelligently, so you plan at the right granularity without drowning in data.
Fashion items have short lifecycles with ramp-up, peak, and decline phases. The AI engine models lifecycle curves and adjusts forecasts as sell-through data arrives.
Too many styles, too many sizes, too late to react. ForecastWorx provides early warning signals and exception-based workflows to course-correct before markdowns become inevitable.
Retail, eCommerce, and wholesale each have different demand patterns. ForecastWorx unifies demand across channels while respecting each channel's unique behavior.
// RESULTS YOU CAN EXPECT
AI learns location-specific size preferences and generates optimized size distributions for each store cluster.
Pattern-aware forecasting identifies ramp-up, peak, and decline phases for seasonal and fashion items.
Forecast at the color, fabric, or style attribute level with intelligent roll-up to the category and department.
Support both pre-season buy plans and in-season reorder/rebalance decisions with a single connected workflow.
Identify slow-moving styles early with exception-based alerts so you can take action before margins erode.
Group stores by demand profile and allocate assortments based on cluster-level forecasts and capacity.
Yes — ForecastWorx forecasts at the individual SKU level (size-color-style) while maintaining intelligent aggregation for planning at the style, category, or department level.
The AI uses lifecycle curve modeling and analog matching to forecast new seasonal styles based on similar items from previous seasons.
Absolutely. ForecastWorx generates pre-season demand plans and buy recommendations, then transitions seamlessly to in-season tracking and rebalancing.
Yes — the engine learns location-specific size preferences over time and generates optimized size curves for each store or store cluster.
See how ForecastWorx optimizes size-color-style planning from pre-season through markdown.
"In the age of AI, the planner's job isn't to crunch numbers — it's to make decisions that machines can't."— Deloitte Insights