Washington, DC (PRWEB) June 08, 2011
Sentrana Inc., a leader in scientific marketing, announced today its Category Management Analytics and Reporting solution for the foodservice industry. Leading companies employ Sentrana’s advanced analytics and predictive modeling to obtain insights for driving greater sales and profits. The Category Management Analytics and Reporting solution extends these insights to help drive optimal marketing, pricing, and associated assortment mix decisions needed to achieve profitable category growth.
Growing product sales while taking into account various supply factors in order to maximize profit or market share is a key challenge for any business. Sentrana’s Category Management Analytics and Reporting solution performs crucial analyses at the product, customer, and supplier levels to provide accurate guidance to increase sales by identifying unmet demand, capturing sales from competitors, and accelerating the pace of demand among current customers. Additionally, Sentrana works collaboratively with clients to identify custom dimensions for analysis allowing managers to tailor the analytics to account for differences across product categories and market interests.
“Our category management solution empowers our clients to achieve their performance objectives in a calculated and educated way by providing unprecedented insight through our category management analytics and reporting engine,” says Chris Ritchie, Sentrana’s Director of Solutions and Services. “Additionally, we work closely with our clients to ensure that we address their specific needs and concerns in order to provide the highest value possible through our analysis,” Ritchie adds.
“The Category Management solution enables decision makers to make more informed and improved decisions related to product pricing, promotions, positioning and assortment,” says Christian Bonilla, Sentrana’s Product Manager. “ Additionally, the Category Management solution can help identify which levers should be used to maximize a variety of key performance indicators,” Bonilla adds.