Voyager Fashion Forecasting™ greatly improves forecast accuracy for collection launches and new product introductions for fashion-driven businesses. This unique solution streamlines your current processes for introducing new styles. Very quickly, you can identify the season’s Top/Flop sellers, slash panel ranking time, forecast demand at the style-color level with up to 95-99% accuracy, and automatically model size curves for sell-in and replenishment orders. As a result, you can drastically reduce the number of samples you need, increase the reliability of your forecast and boost profitability.

With Voyager Fashion Forecasting™ overcomes the challenges of launching fashion collections.

There’s nothing like multiple collection launches to test your forecasting abilities and bottom line. Voyager Fashion Forecasting helps you eliminate the risk associated with launching fashion collections no matter what the season. This unique solution streamlines and automates planning tasks you already perform. It also integrates powerful analytics and modeling techniques to deliver extremely high levels of forecast accuracy at the earliest opportunity.

Now sales teams and brand planners can independently rank items in new collections, experiencing none of the group bias that typically influence panel ranking results. You can predict demand at the style/color level with up to 95-99% accuracy, greatly reducing your sample requirements. Using early Top/Flop predictions, you can shift production volume to the majority of items most likely to return greater profits. Plus you can automatically model size curves for sell-in and replenishment orders, rapidly splitting demand quantities across all your sizes.

In fact, Logility helps you do all the right things, sooner, so you can capture the fashion of any season and drive efficiencies throughout the supply chain.

With Voyager Fashion Forecasting you can :

Improve forecast accuracy at the style-color level

Slash panel ranking time

Streamline pre-market planning

Reduce sample quantities

Decrease overstocks

Increase full-priced retail sell-through

Leverage raw materials purchasing

Synchronize production commitments

Decrease material write-offs

Minimize lost sales

Diminish expediting and transportation costs