The best deals are not usually found by comparison shopping sites, but by real people. Wishabi will help people find the best value possible through the collective intelligence of the shopping community.
Toronto, ON (Vocus) October 15, 2008
Wishabi, a next generation shopping company today launched the public beta of Wishabi.com, a crowd-sourced shopping engine that for the first time ever will allow consumers to have their own personal shopper, powered by the deal-hunting community. Wishabi users list the items they want on a personal shopping wish list and Wishabi coordinates with thousands of deal-hunters and online merchants to scour the internet and find the best deals possible. The result is a shopping experience customized exactly for each user with the best deals available on the internet.
Wishabi helps users decide when the right time to purchase through its patent pending deal-rank system. Deal-rank helps users determine how good a deal is through a combination of community feedback and complex algorithms analyzing historical pricing and purchasing trends. Using this information, Wishabi produces a deal rating between bad to outstanding, allowing users to make intelligent purchasing decisions.
In addition to a personal shopping engine, any user can become a deal hunter and make money by posting deals they find online. Wishabi shares a portion of the revenue it receives from merchants with the deal hunter who posted the deal.
Wishabi's initial release will focus on several categories - consumer electronics, sporting goods and household items allowing users to search and wish for items from thousands of leading brands such as Amazon, NewEgg, Buy.com, Sierra Trading Post and Target. In the near future, Wishabi will be expanding its item coverage and search engine in additional categories such as shoes and clothing.
"People simply need better, smarter ways to shop online, especially in the economic downturn," said company CEO and co-founder, Wehuns Tan. "The best deals are not usually found by comparison shopping sites, but by real people. Wishabi will help people find the best value possible through the collective intelligence of the shopping community."
Today, over 40M internet users in the U.S. shop online using comparison shopping services such as Nextag, Shopzilla or Bizrate, according to Compete.com. Comparison shopping sites relies on computer matching to perform price comparisons. The result of comparison shopping is only average when compared against the best shopping deals found online by real people. Using thousands of deal-hunters, Wishabi leverages human intelligence and creativity to crowd source deals and help people shop.
Key features of Wishabi include:
- Building a Personal Shopping Wishlist - search from over 3 million items or easily create your own wish for the deal hunting community to shop for.
- 'Deal Rank' - a patent-pending technology allowing users to see how a good a deal is for any product.
- Wishabi Earnings - deal-hunters can make money from deals that they post
- Demand Reporting - deal-hunters can see what items are in most demand so they can target their deal-hunting efforts.
- User feedback - any user can rate deals up or down to contribute to the rest of the shopping community.
- Weekly personal shopping emails - a weekly digest of what the community has found for the things users want
- A social shopping network - connect with fellow shoppers and deal hunters
"Shopping should be as simple as making a wish list, and letting someone else find the best deals for you. Now with Wishabi, everyone can have their own personal shopper, powered by the community working for them," added Tan.
Based in Toronto, the founders of Wishabi are alumni from Microsoft, Sun Microsystems and Numerix and graduated from University of Waterloo's Computer Engineering program. They are avid deal-hunters themselves and share a passion for helping people shop through innovative technologies in the field of online commerce. For more information, please visit http://www.wishabi.com.
Director of Public Relations