![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
![]() |
|||||||||||
|
About Us |
Developing Advanced Analytics for the Retail Industry... Retail Analytics develops in line analytics, which enable today's global retailers to make smarter decisions and manage their businesses more effectively. Our component-based libraries represent an innovative, powerful and flexible solution for dramatically extending the capabilities of existing information systems or supporting applications, without prohibitive costs or unacceptable time delays. Working in partnership with our customers, we build effective, robust and scalable algorithms to be embedded within their key applications. Our unique understanding of the rapidly changing needs of the modern retailer combined with our mastering of mathematics and statistics has enabled us to develop a line of analytics components renowned for their resilience, functional richness, ease of integration and scalability. These components can be deployed on various computer platforms and easily enhance the functionality of a retailer’s different information systems such as for example: - Data-warehouse applications - OLAP data mining tools - Information management systems or information portals - Decision support systems Retail Analytics in-line analytics allows retailer organizations to get the most out of their existing management information systems and information sources without the risk of committing to significant investments. Our components libraries assit retailers to focus on characteristics of the marketing activities that increase the probability of better returns, making more effective decisions leading to: - Purchase acceleration - Brand switching - Volume increases - Basket effects - Store choice and price image Retail Analytics has built a comprehensive series of sophisticated modeling and optimization tools to provide analytical support to essential business functions such as: - Demand forecasting - Price and promotion modeling - Price and promotion optimization - Markdowns - Category management - Product assortment selection - Store clustering and price zone definition - Competition analysis - Market basket analysis - Customer segmentation Retail Analytics components can be deployed either as “standard”, or as building blocks of a more customized implementation project, when unique requirements derived from specific business processes, rules or information sources need to be met. |
|||||||||||||||||||
| Design by AdiumDesgin.com | ||||||||||||||||||||