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DeltaDashboard graphical reporting tool for supply chain and warehouse management systems IMHX 2010

DeltaDashboard’ graphical reporting tool boosts supply chain performance through warehouse process improvement. Software can be used with any supply chain or warehouse management system First public showing at IMHX 2010

DeltaWMS, leader of the emerging warehouse performance systems market is to launch DeltaDashboard, a "highly graphical, management friendly" dashboard solution that can be used with any supply chain or warehouse management system. DeltaDashboard is designed to increase supply chain performance through warehouse process improvement, say Delta, who are to package it with "maximise your ROI" consultancy. Delta Dashboard will be shown publicly for the first time at the 16-19 November materials handling event IMHX 2010.

"DeltaDashboard provides a real-time, performance dashboard view of warehouse operations with instant reporting of productivity levels. Because this powerful management tool can be used with any supply chain system it will benefit the industry as a whole" says Delta operations director Lance Bennett. Existing users of Delta technology include Eddie Stobart, TDG and Palletways.

The graphical dashboard in DeltaDashboard has been developed as an activity monitoring tool for logistics, supply chain and warehousing operations management. Users can create different views, generate easy graphs and define what data is queried – choosing which processes are a priority for them to monitor and manage. DeltaDashboard provides them with actionable visual information on current and outstanding tasks in the warehouse and indicates employee performance levels. It dynamically updates, constantly refreshing data to present the user with a realtime ‘easy graphical’ view of warehouse KPIs – speeding information analysis, highlighting issues for attention and allowing management to react quickly, making faster and better informed decisions to optimise warehouse workflows. DeltaDashboard can also be used to analyse historic data.

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