Delivering Analytics through Cloud Computing at Bernard Chaus

IBM (NYSE: IBM) today announced that NYC-based apparel manufacturer Bernard Chaus is using SKYPAD delivered analytics through cloud computing to improve sales, analyze in-season buying trends, and track the hottest selling products by store -- down to style, size and color. SKYPAD is enabling Managers at all levels of the organization to make informed decisions based on the timely and accurate receipt of sales data, providing the flexibility to react globally and locally to instant trends.

 "Bernard Chaus, Inc., a midsize manufacturer and distributor of women's career and casual sportswear, was looking to streamline its sales and merchandising efforts and create a detailed, accurate view of weekly sales trends for their decision makers. With previous manual data collection processes and Excel spreadsheets, there was no guarantee that sales information was correct or all inclusive, compromising the company's ability to react to fluctuations in sales.

Working with IBM and IBM Business Partner SKY I.T. Group, the company developed an analytics-based solution called SkyPAD that provides a weekly report of key business metrics via a web-based dashboard.  The dashboard enables improved decision making across product pricing, assortment design, production and distribution.  Using the system, Chaus can quickly spot fast selling items, shift products between stores, adjust pricing and make in-season adjustments based on proven consumer demand.  Chaus also has the capability to instantly compare profit margins across different retail outlets to identify future brand positioning strategies. "

SKYPAD Enables Retailers to:
- Get comprehensive retailer reports faster
- Automate reporting into ONE easy to use platform
- Easily analyze data based on YOUR specific initiatives
- Seamlessly integrate spreadsheets, EDI and portal data into ONE view
- Increase accuracy, productivity and team focus
- Utilize images, scalability and consistency not possible with Excel

See full article on IBM Press Room Website