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Among the world’s largest integrated energy companies, the client is a leading supplier of automotive, marine and aviation fuels and lubricants, as well as commodity petrochemicals and plastics. The client’s oil and gas marketing network supports retail outlets, commercial airports, and military installations in the United States and Canada.
For downstream energy companies, optimizing the supply chain is vital for profitability, growth and market leadership. However, delivering the right product to the right place, at the right time and at the lowest cost is not easily achieved. Accenture implemented an innovative application to help the energy company improve downstream inventory planning and scheduling across its North American operations.
Assessing inventory needs was challenging due to the scope of operations, and because of massive amounts of data being generated from sources inside and outside of the company.
Managers struggled to analyze trends and variances in traditional report and spreadsheet formats. In some cases, they lacked pertinent information to make timely decisions and take corrective action. Forecasting errors, replenishment scheduling and service issues held back supply-chain and inventory improvements.
Company leaders saw a number of improvement opportunities, and turned to Accenture for expertise in supply-chain optimization, analytics and big data visualization.
Accenture set out to develop an accurate and agile data-visualization application to display downstream supply-chain and inventory information across North America. The goal was to implement an innovative application to help improve margins by:
The project team selected Space-Time Insight software, which enables real-time data visualization in Google Earth. Specific features include mapping and web applications, image-based dashboards that can be customized, and alerts shown by location. The application gives users the ability to see retail outlets with corresponding real-time inventory levels on maps. This capability enables more accurate assessment of inventory and improved demand forecasting.
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