Friday Aug 16, 2013

New Release of Oracle Retail Allocation Announced

Oracle Retail have announced the release of Oracle Retail Allocation 13.3, a solution that helps enable retailers to deliver the right product to each of a retailers’ locations using real-time inventory levels along with sales and planning information.

Oracle Retail Allocation 13.3 takes advantage of embedded business intelligence, analyzing input from multiple data sources to provide actionable insights to allocators. Retailers are able to determine need at the item/location level, using real-time inventory data, and allocate based on plan, forecast and sales information.

Benefits of the solution include:

  • Synchronization with merchandising orders, transfers, and inventory
  • A flexible, configurable dashboard and workflow
  • Driving of accuracy with integrated planning and size profile optimization
  • Enablement of multiple allocation methods including plans based on trend
  • Improvement of allocation accuracy

For further information, please visit:

Tuesday Jul 30, 2013

JD Sports Fashion Chooses Oracle Exadata Database Machine to Leverage Fact-Driven Merchandising and Outperform Competitors

JD Sports Fashion plc. is a leading retailer of branded sportswear and fashion wear with 900 stores and online business across a number of retail locations in the United Kingdom, Ireland, France, and Spain. The company owns many top brands, including Mckenzie, Carbrini, and The Duffer of St George, and sells many limited edition and exclusive designs from Adidas Originals and Nike.

JD Sports is growing fast — organically and through acquisition — and revenue increased almost 20% in 2011. The company wanted to maximize profitability in the competitive sports and fashion wear retail market by matching inventory to demand, identifying best sellers, tracking success of promotions, and being first to market in a fashion-driven business with typically short product life spans.

The goal was to enable 100 buyers, 120 merchandisers, business analysts, and country, regional and branch managers to analyze up-to-date revenue, margin, like-for-like sales, running averages and variance against plan for each of JD Sports’ 400,000 live stock-keeping units (SKUs) from any location. JD Sports wanted to scale analytical abilities to handle anticipated doubling of data volumes from 4 terabytes in 2012 to 8 terabytes in 2015 and growth in user numbers while increasing performance.

Oracle Exadata Database Machine was chosen over IBM for its lower acquisition costs, dramatically higher performance, quicker time to value and faster return on investment. The company ran proofs of concept for SQL reporting, OLAP reporting and batch processes on both platforms. JD Sports was able to build the OLAP cube four times faster using Oracle Exadata Database Machine than with IBM x Series.

"Oracle Exadata beat IBM hands-down for performance in every category,” said Barry Loftus, head of business intelligence and application development, JD Sports Fashion plc. "The combination of Oracle Business Intelligence Enterprise Edition, Oracle OLAP, and Oracle Exadata Database Machine gives us the insight and agility to continue outperforming competitors as we expand our footprint throughout Europe”.

Read the full case study here…

About

Everything Retail.


Principal contributors:

Sarah Taylor, Senior Industry Director, Oracle Retail.


Marie-Christin Hansen, Senior Industry Campaigns Manager, Oracle Retail.


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