SAF AG

www.saf-usa.com

The SAF USA demand forecasting and automated replenishment solutions are best-in-class software suites for retailers and manufacturers. Proven in thousands of stores worldwide, our solutions virtually eliminate out-of-stocks, dramatically improve store revenue, and shrink store inventory. SAF’s SuperStore application leverages store-specific, item-level POS data to serve up highly accurate micro-forecasts of product sales, calculation ofproduct demand, and store orders for every product in familiar, web-based environments. Our unique approach automatically chooses the best causally predictive algorithm and parameters to produce a precise forecast for every product in every store. The system produces optimized orders from the demand forecast, taking into account safety stock, presentation stock, open orders, current inventory counts, and other KPI-based targets. In addition, completed store orders are generated with consideration of optimal buying conditions, EOQ, etc. Orders can be delivered to your existing ordering system, based on cutoff dates, DC schedules, processing schedules, and available processing power.

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The SAF USA demand forecasting and automated replenishment solutions are best-in-class software suites for retailers and manufacturers. Proven in thousands of stores worldwide, our solutions virtually eliminate out-of-stocks, dramatically improve store revenue, and shrink store inventory. SAF’s SuperStore application leverages store-specific, item-level POS data to serve up highly accurate micro-forecasts of product sales, calculation ofproduct demand, and store orders for every product in familiar, web-based environments. Our unique approach automatically chooses the best causally predictive algorithm and parameters to produce a precise forecast for every product in every store. The system produces optimized orders from the demand forecast, taking into account safety stock, presentation stock, open orders, current inventory counts, and other KPI-based targets. In addition, completed store orders are generated with consideration of optimal buying conditions, EOQ, etc. Orders can be delivered to your existing ordering system, based on cutoff dates, DC schedules, processing schedules, and available processing power.

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Country

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State

Texas

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City (Headquarters)

Irving

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Founded

1996

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Estimated Revenue

$10,000,000 to $50,000,000

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Social

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Potential Decision Makers

  • Retail Customer Care Representative

    Email ****** @****.com
    Phone (***) ****-****

Technologies

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