Search engines and other e-retailers lose share as shoppers increasingly turn to Amazon for product searches, a Bloomreach survey finds.
The "My Personal Shopper" feature debuted at LandsEnd.com in early November. Lands' End developed it internally for specific use in the apparel retail industry. Using a form of conjoint analysis, the technology assesses shoppers' taste preferences, such as color and style, through a series of paired comparisons and noted likes and dislikes. The software then immediately recommends products like an expert personal shopper or sales consultant would in a retail store.
Enhancements made by QuickDog should not only make it easier for merchants to categorize their products by assigning relevant attributes to their merchandise, it should also continue to learn about customer preferences through further analysis of their shopping behavior. "We believe that the QuickDog Personal Shopper will revolutionize online merchandising practices, especially in applications where style and personal taste drive the purchase decision," says Scott Metcalf, QuickDog's CEO. QuickDog plans to expand the application to benefit a wide variety of e-retailing categories characterized by fluctuating dynamics like frequent product turnover, changing trends and seasonal merchandise. Industries QuickDog plans to target include home furnishings, leisure travel services, specialty foods and gifts, consumer electronics and toys.