Agentrics Receives Two Readers’ Choice Awards in Consumer Goods Technology 2008 Rankings

11 February 2008 | News | Source: Agentrics

Agentrics, a leading solution provider to the world’s largest retailers and their trading partners, today announced it received two Readers’ Choice Awards in the 2008 Consumer Goods Technology annual reader poll. Agentrics was chosen as a top-10, best-in-class provider in two categories: Demand Data Analytics and New Product Development and Introduction. Agentrics is a repeat recipient in the demand analytics category and is making its first appearance in the new product development category, due to the rising success of its product lifecycle management (PLM) solution, Agentrics GenNovation.

"Agentrics plays a valuable role throughout the retail supply chain, and we are grateful to be recognized again for our success helping the world’s largest retailers and consumer goods companies meet demand quickly, profitably and responsibly,” said Christopher Sellers, Agentrics chief executive officer. “Our solutions for retailer-supplier collaborations significantly improve shared business practices and help trading partners become more fact-based and demand driven. As retailers elevate their private label strategies, our PLM solution helps them more quickly develop a wider range of innovative store-brand products. It is an honor to have our achievements recognized by the influential readers of Consumer Goods Technology."

The Reader’s Choice Awards recognize three Agentrics solutions:

  • Agentrics Collaborative Planner – Retailers use Agentrics Collaborative Planner with trading partners to enhance supply chain performance including forecast accuracy, promotion planning, and in-stock availability.
  • Agentrics GenNovation -- Retailers seeking to expand their private label offerings use Agentrics GenNovation to gain more control over product development and lifecycle management. U.K.-based retailer Marks & Spencer implemented the solution as part of a program to triple its private label offerings and position the company as an innovation leader.
  • Agentrics Demand Signal Management – This demand signal repository and management system, powered by Agentrics’ partner Retail Solutions, enables retailers such as CVS/pharmacy to share operational supply chain data with their trading partners on a secure, scalable and easily-accessible platform. Visibility into point-of-sale (POS) and inventory data by day, store and item helps companies improve collaborative planning, promotional execution and in-store sales performance.

Consumer Goods Technology is read by more than 25,000 senior-level business and technology executives in the consumer goods market. The readers’ choice survey asks subscribers to identify their most valued solutions and services providers across 11 categories. The winners and customers currently using the solutions are featured in the January 2008 issue.

About Agentrics
A trusted agent for the global retail and consumer goods industry, Agentrics helps retailers and their trading partners enhance profitability, on-shelf availability and customer satisfaction. Agentrics offers solutions for sourcing, collaboration, forecasting, data synchronization, point-of-sale data sharing and private label product management. Agentrics customers include 17 of the world’s top 30 retailers and account for more than $1 trillion in consumer spending. Since 2001, Agentrics has helped customers save more than $5 billion in costs.

Agentrics customers include Aeon, Ahold USA, Alcampo, Arcandor, Auchan, Best Buy, Canadian Tire, Carrefour Groupe, Casino Groupe, Coles Group, Coop Italia, Coop Switzerland, CVS/pharmacy, Dairy Farm, Dansk Supermarked Gruppen, Delhaize Group, Diageo, El Corte Ingles, Food Lion, GlaxoSmithKline, Izumiya, Kesa, Kesko Food Ltd., Kingfisher, Kroger, Lotte, Makro Asia, Manor, Marks & Spencer, Metro Group, Migros, Panasonic, Praktiker, REWE Group, Royal Ahold, Safeway, Sainsbury’s, SCA Hygiene Products, Sears Canada, Sears Holdings Corp., Tesco, and Walgreen’s.

 

Read about Agentrics in the PLM directory