The system will automatically filter out irrelated products by users’ requests.
Zhengzhou, China (PRWEB) December 16, 2013
iAbrasive is pleased to announce the release of an attribution selection system which will help buyers improve purchasing efficiency of flap discs. Known as a professional business to business trade platform for abrasives and abrasive products only, iAbrasive concentrates on building up an internet bridge to link worldwide abrasives suppliers and purchasers together.
Information About Flap Discs.
Flap discs consist of a series of coated abrasive flaps bonded onto the top surface of a disc. The products are able to continually expose new and sharp abrasive grains as the flaps wear away. The Flap Disc is a revolutionary hybrid coated abrasive product that combines the stock removal capabilities of a depressed center wheel with the surface finishing characteristics of a resin fiber disc. The result is an abrasive tool that can perform the functions of grinding and finishing simultaneously.
Purchasing Flap Discs on iAbrasive
“Believe that every buyer is trying to find the most time-saving solution to improve online purchasing efficiency. But buyer will be disappointed if they try to realize this desire on some comprehensive websites, where the searching experience is just like looking for a needle in the ocean,” indicates Lei. “Why not give iAbrasive a shot? Our company is sure to bring you a professional purchasing experience; meanwhile, you can keep yourselves informed with the whole industry as well.”
iAbrasive provides a full range of attributes of flap discs, and each sets several choices for users to fast locate the products they are looking for. For example, four choices have been set as for the type of flap discs and the buyer can select a certain specification to search directly. To quickly locate the products, it usually requires a detailed product description. The user can click on “more specifications” and enter into a complete attributes selection page. The system will automatically filter out irrelated products by users’ requests.