Heavy Equipment Supplier to Latin America Selects Avercast™ to Optimize Inventories

The fast-growing industrial and automotive equipment concern in Costa Rica has chosen Avercast to forecast its inventory.

Synergie Ventures Group and its subsidiary Proveeduría Total, the fast-growing industrial and automotive equipment concern in Cost Rica, have chosen Avercast to forecast its inventory across several divisions in the construction, automotive and industrial equipment sectors. In total, the company has presence in most Latin American countries through its distributors.

"We are an inventory-based company," said Thomas Ossenbach, President of Synergie Ventures. "We represent more than 5,000 products, which may seem like a small number to some, but many of these items cost several thousand dollars."

Before choosing Avercast, Ossenbach and his team were confined to the basic history reports provided by the company's ERP system in spreadsheet format. Citing speed, accuracy and the ability to respond to the marketplace, Ossenbach explained that the companies needed more sophisticated algorithms and Avercast provides 185, more than any other supply chain planning platform.

"We need to improve our accuracy because sales are essentially unpredictable, so we could not continue working with averages or simple forecasting methods; a simple average might project 10 units a month but not a trend, be it up or down." In order to respond to the marketplace, Ossenbach said, Synergie's dispersed subsidiaries (of which Proveeduría Total is the largest) need to know "how much to buy today based on the delivery date, shipping time including customs, inventory on hand and inventory in transit."

"The many equipment sales and service operations launched by Synergie Ventures will benefit from this decision," said Jason Averill, Executive Vice President, Avercast. "The explosive growth the company has experienced-in some years almost doubling its business footprint since it began in 2004-is difficult enough to manage, but with Avercast it will become far more manageable, with much better and predictable demand patterns."

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Tags: demand planning, Forecasting, Supply chain management


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