Audience
Retailers, wholesalers, distributors, manufacturers
About StockM
StockM is an advanced inventory management system that keeps the right products in the right place at the right time – with less stock and fewer stockouts. Built on dynamic buffer management (DBM) and the Theory of Constraints, it continuously adjusts stock levels based on real demand and lead times, not just forecasts. Ideal for manufacturers, wholesalers, and retail networks that want smarter replenishment, lower working capital, and clear daily priorities for planners.
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Commodities, raw materials, finished and intermediate goods – in terms of business are all referred to as stocks, which in fact are financial investments we expect returns from. Effective inventory management allows maximizing return on investments. There are different inventory management models. Theory of Constraints as a progressive business management methodology offers its own inventory management tool called Dynamic buffer management (DBM). DBM allows providing a high product availability level while keeping the stocks in the system at a minimum level. To manage manufacturing inventories effectively, we offer a unique methodology — DDMRP (Demand Driven Material Requirements Planning). This methodology allows keeping the necessary amount of stock based on the actual demand. Creating the system of dynamic buffer management, which will take into account the actual demand and sales.
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Keep your best sellers flying off shelves by having the right amount of inventory to meet demand. Release cash tied up in slow-moving or overstocked items to reinvest in your most popular products. Know exactly what you need to reorder and when, based on important factors such as lead time, out of stock days, seasonality and more. With a centralized view of all your sales channels and inventory locations, you can replenish the right products at the right time – wherever your business requires it. Apply the seasonal forecasting method for more accurate predictions on your seasonal products. For products that sell steadily month-to-month, choose non-seasonal forecasting and set your own time period to calculate sales trends. Get super accurate demand predictions with stockouts history. This calculates forecasts based on when an item was available, excluding the days when it was out of stock.
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Integrations
No integrations listed.
Company Information
StockM
Founded: 2008
Lithuania
www.stockm.eu/
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Product Details
Platforms Supported
Cloud
Training
Documentation
Live Online
Support
Phone Support
Online
