We have data on 32 companies that use SAS Merchandise Planning. The companies using SAS Merchandise Planning are most often found in United States and in the Retail industry. SAS Merchandise Planning is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for SAS Merchandise Planning usage goes back as far as 7 years and 7 months.
|Company||Cognizant Technology Solutions Corp|
|Company||Levi Strauss & Co.|
|Company||Lowe's Companies Inc|
|Cognizant Technology Solutions Corp||cognizant.com||United States||>1000M||>10000|
|Levi Strauss & Co.||levistrauss.com||United States||>1000M||>10000|
|Nike, Inc.||nike.com||United States||>1000M||>10000|
|Lowe's Companies Inc||lowes.com||United States||>1000M||>10000|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Retail. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Retail category, SAS Merchandise Planning has a market share of about 0.1%. Other major and competing products in this category include:
The merchandise planning platform is powered by retail analytics and is part of SAS overall omnichannel merchandising portfolio.SAS Integrated Merchandise Planning provides complete planning capabilities for the merchandising process, including performance analysis, financial planning, assortment planning, space planning, allocation and more.
Looking at SAS Merchandise Planning customers by industry, we find that Retail (53%) is the largest segment.
69% of SAS Merchandise Planning customers are in United States, 10% are in Canada and 7% are in United Kingdom.
Of all the customers that are using SAS Merchandise Planning, a majority (83%) are large (>1000 employees), 1% are small (<50 employees) and 2% are medium-sized.
Of all the customers that are using SAS Merchandise Planning, a majority (79%) are large (>$1000M), 0% are small (<$50M) and 0% are medium-sized.