Oracle Unveils Newer DSR Platform for CP Companies

Oracle announces the latest release of Oracle Demand Signal Repository, which aims to enable companies to leverage external demand data to lower out of stocks at the store shelf and improve execution of promotions and new product introductions. The latest release includes enhancements and new capabilities that aim to enable consumer product manufacturers to increase revenue and reduce costs through better demand planning, more accurate retail execution and a more streamlined IT environment. These new capabilities and enhancements include:
 
- Store and item clusters: extend analysis capabilities to manage both custom retail store and custom retail item groupings for segmentation analysis.
- Exception management: adds new alerting framework and pre-built rules to monitor daily data and bring forward key store-level exceptions for management.
- Replenishment rules: provide visibility into store SKU replenishment rules as well as providing a key input into the identification and management of replenishment exceptions.
- An enhanced scorecarding user interface: delivering support for externally generated thresholds and goals to enable trading partner performance management.
 
Oracle also collaborated with The Nielsen Company to provide:
- Enhanced syndicated data support: delivers new data model and mapping capabilities to link/blend syndicated data received at various levels of hierarchy and aggregation with the store-level retail data received directly from customers.
- Nielsen TDLinx integration: prebuilt adapter for store/outlet data helps ensure accurate retail outlet details and account structure with each update from the Nielsen TDLinx Channel Database.
 
"The analytic capabilities of Demand Signal Management (DSM) provide an understanding of demand to drive the operations of a consumer goods business and a wide spectrum of planning and information systems. DSM is more than just a single version of the truth. It can also be a critical tool to identify new sales opportunities, to manage stock more effectively, to drive agile responses and to provide more timely and accurate data for business forecasting and planning," says Gartner's Research Director Peter Bambridge.
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