A style-driven consumer base makes competing in the softgoods and apparel industry a sizable endeavor. Changing styles are condensing product life cycle and accelerating seasons. Fashion companies are planning as many as six to ten seasons a year. Lead times are being extended by remote sourcing and production. To ensure timely availability, brand owners must accurately forecast selections earlier in the cycle. Larger retailers are also demanding higher levels of vendor support. Continuous replenishment and Vendor Managed Inventory (VMI) can be a price of entry for many companies. Among other trends? Customized assortments, floor-ready merchandise requirements and aggressive promotion schedules.
Logility Voyager Solutions™ gives you the ability to create accurate forecasts early in the planning cycle so you can shorten lead times and reduce inventory risk. With greater supply chain visibility, you can better synchronize global resources to streamline sourcing, manufacturing and logistics processes. Continuous business monitoring and exception alerts keep plans on schedule so you can lower inventory carrying costs. Improved inventory management helps you raise customer service levels as you decrease inventory investments. Logility optimizes both warehouse and transportation operations to decrease distribution costs and increase perfect orders.
A global workwear company implemented Logility Voyager Solutions to drive internal collaborative forecasting at customer levels, realizing improved forecast accuracy of 29%, increasing inventory turns by 18%, reducing stock-out cancellations by 50%, and reducing lead times by 25-30%.
Improve overall supply chain performance by using Logility to:
- Collapse cash-to-cash cycle times and reduce weeks of supply
- Accelerate the launch of fashion-driven collections
- Increase perfect orders
- Improve forecast accuracy at the SKU level and customer level
- Diminish inventory risk
- Condense lead times and accelerate in-season replenishment
- Slash freight and expediting costs
- Leverage point-of-sale and syndicated data to quickly sense changes in demand