Why Resurg Dashboards are Becoming Critical to Networks

Resurg entered the market with the intention of breaking down the barriers between non-competing businesses in order to share knowledge.  This knowledge allowed businesses to increase their profit and productivity and the program proved to be a giant success.  With ever expanding groups and brands jumping on board, Resurg truly had found the key to the needs of business owners.

With this ongoing close relationship with these businesses, and their networks, Resurg began understanding the needs of the networks and their members.  As networks evolve, systems and technology can become outdated and thus information and data is lost.  Imagine being able to develop a system catered to the network, catered to the business and catered to the industry?  There is invaluable knowledge and insight that helps SMB owners continue to improve their businesses, and THAT is why Resurg dashboards are popular.  If we break it down further, these capabilities is why there is a growing demand in catered dashboards for Australian and international networks:

dashboard example
  •  Real-time tracking of sales data by fine line classes (FLCs) for product selection and tracking;
  • Collection and analysis of store data by catalogue items on a daily basis;
  • Collection of sales data and comparative analysis of this data against a variety of matrices such as store demographic and customer profiling data;
  • Research and reporting of competitor product information for effective campaign analysis for their clients;
  • Identification of product gaps achieved through the analysis of sales and inventory data;
  • Identification of cross-sell opportunities by analysing the product gaps and matching them with relevant product offerings based on stock holdings data;
  • Alignment of the product range to best suit store requirements for both products offered and quantities achievable;·
  • Tracking of industry metrics relevant to the business’ needs and subsequent management of the stock holdings data;
  • Tracking of industry metrics relevant to the business’ needs and subsequent management of the stock holdings data;
  • Development of advanced pricing models by collecting market pricing data and analysing it against the store data at hand; and
  • Data mining activities by developing a network of product files, including file line allocation for  data mining at the SKU and APN levels.

Enquire with us here today for more information.