Building Tomorrow's Supply Chains
by Infosys on Jan 08, 2013
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The supply chain process today is susceptible to many areas of inefficiencies leading to staggering impact not only on revenue and profitability but also customer satisfaction and brand value. The ...
The supply chain process today is susceptible to many areas of inefficiencies leading to staggering impact not only on revenue and profitability but also customer satisfaction and brand value. The inefficiencies need to be controlled and managed by the supply chain office which leads to the ‘simple’ asks of supply chain executives. When translated to technology, these asks mainly include needs for real-time information across a variety of sources carrying heterogeneous forms of high volumes of data, extreme processing at astounding speeds, capabilities to simulate different models and predict the future and collaboration and visual platforms that help integrate the supply chain and discover relationships between pockets of information that weren’t visible earlier. In-memory computing can help with all these asks and one can look at leveraging this technology platform for applications across the different supply chain processes to improve its performance. We present 4-5 such use cases of leveraging in-memory computing in improving supply chain performance and demonstrate the solutions, discuss the initial PoC take aways/inferences and illustrate the usage of the application in the context of an enterprise/Infosys client.
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