Cupertino, CA -- (SBWIRE) -- 03/06/2015 -- Thousands of manufacturers struggle with lack of real-time data causing poor decision making. Too often necessary data cannot be shared throughout the supply chain because systems are not integrated, companies will be left with costly forecast errors. Today's supply chain executives should be able to respond to changes in real-time and use up-to-the minute information to drive intelligent decision making. According to Narayan Laksham, founder of Ultriva, the reality is that each aspect of a manufacturer's supply chain, whether its procurement, design engineering or logistics, often operate in very distinct silos and each department rarely collaborates, shares or even communicates with one another. This error can frustrate customers to decline working with them.
Forecast Errors, a weekly e-newsletter, sponsored by Ultriva, shares methods, modes, and tools used in a variety of supply chain industries. The newsletter explores forecast errors as the difference between the actual and predicted value. Forecast Errors profiled what separates best-in-class companies from those that struggle with accuracy. A forecast error is the difference between the actual and predicted value. The consequences are expensive inefficiencies that can be resolved with lean manufacturing technology.
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Ultriva's (http://www.ultriva.com) cloud-based platform leverages seamlessly integrates with leading ERP and MRP systems, to deliver an end to end pull based replenishment solution. Ultriva, based in Cupertino, CA, implements a global demand driven manufacturing model by providing full visibility, scheduling, and sequencing of production of customer orders. Ultriva was named one of the Great Supply Chain Projects of 2014 by Supply & Demand Chain Executive magazine and recently named one of 50 Best Supply Chain Blogs of 2014 by SupplyChainOpz. The company's global footprint is increasing rapidly with implementations in wide variety of industry sectors and enterprises such as Magellan Aerospace, CareFusion, Emerson, Ingersoll Rand, McKesson, Triumph Group, Regal Beloit, Thermo Fisher, and more.
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