APPAREL & FOOTWEAR
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RockySoft can help you find the right level of inventory, which is critical in ensuring product availability
and at the same time minimize the risk of obsolete inventory. The apparel and footwear industry is accustomed
to rapid change and fast inventory turn over, which are necessary to meet the seasonal trends of consumer demand.
Further complicating the consumer demand picture are short lifecycles and thousands of product numbers in inventories,
due to the variety of sizes, colors and patterns for particular styles. Maintaining the correct inventory levels is
difficult while managing large numbers of products.
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Benefits of addressing these challenges:
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Increased revenue and fewer lost sales with improved forecast accuracy
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Reduce inventory expense and improve productivity with automated tools for managing complex inventory replenishment plans
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Reduced expense for large inventories of slow turnover or soon-to-be obsolete items
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Demand Manager can help distributors forecast their demand by taking into account their historical data and
creating a level of safety stock to assure supply of products during periods of high customer demand and promotional events.
Using our Requirements Planner, purchase orders can be automatically generated based on seasonal forecasts and
the most advantageous buy quantities. Additionally, orders are optimized for transportation based on calculated
dimensions, weights and price breaks. Exception Signals assists an organization by proactively notifying buyers
and planners of events that might cause stock outs or excessive inventory levels, which is critical in industries
subjected to tremendous variability in demand and supply.
RockySoft has removed some of
mysticism of inventory planning in these environments by providing tools to assist in effectively managing the process
from the first demand prediction through the entire product lifecycle.
Enabling product features:
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Multitude of forecast algorithms that more precisely forecast product demand for seasonality, sales promotions and trends
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Promotion and event planning for determining future product sales
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Advanced product replenishment and order optimization based on forecasted demand
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Integrated VMI-EDI automatically monitors POS data to generate replenishment quantities
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Demand planning algorithms effectively forecast the product lifecycle from introduction through end of life
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Exception based tracking and updating of outstanding product orders to more accurately tie replenishment to forecasted usage
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Automated matrix planning for forecasting, size, color, style sales
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Establishes appropriate inventory levels at each level in the planning matrix that optimize customer service with the least amount of inventory
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