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added reseller (VAR) is a company that resells software, hardware and other products and services that provide value beyond the original order fulfillment. VARs package and customize thirdparty products in an effort to add value and resell them with additional offerings bundled in.
Advantages of Value-Added Resellers A value-added reseller can increase its potential for repeat business by virtue of the added value they provide. A VAR can also act as the single point of customer service-centric contact for customers of certain products and solutions.
David has helped thousands of clients improve their accounting and financial systems, create budgets, and minimize their taxes. Examples of common value-added resellers (also known as VARs) are computer retailers and service companies, automobile dealerships, and furniture stores.
Distributors consist of order takers, and generally lack real product knowledge. On the other hand, there are VADs, which provide a broad range of products, stock inventory, operate their own warehouse(s), supply credit to re-sellers, and have dedicated sales teams trained in understanding your products.
The VAR buys products from the manufacturer and then resells them to its customers, adding value by offering additional services, support, and customization. For example, a software company provides a customer relationship management (CRM) software program for travel agencies.
Typically, a VAR earns money from the profit margins of the product. In some cases, they may receive a percentage commission of the sale or a revenue share.
Value-added resellers include technology service companies, auto dealerships and even furniture companies. Technology service companies often offer a range of value-added products or services, such as extended warranties, service contracts, supplemental hardware, software, and installation and setup services.
VaR modeling determines the potential for loss in the entity being assessed and the probability that the defined loss will occur. One measures VaR by assessing the amount of potential loss, the probability of occurrence for the amount of loss, and the time frame.