predictive merchandisingAlso called automated merchandising or personalized product recommendations, in electronic commerce it is a search technology that integrates data and predictive analytics to generate site merchandising. While exact features of predictive merchandising services differ from vendor to vendor, there all have some common functions. Usually tracking tags are used in a merchant's e-mail and on-site that capture and analyze key information at each point in the online shopping process. Web site visitor's preferences are tracked and the system is able to analyze that data in order to automate product offers to other customers with similar behavior on the site. Other aspects of automated merchandising include cross-sell and up-sell of related products, the capability for shoppers to compare related products, and the ability to show returning customers products they previously showed an interest in.
See also searchandizing.
Because nothing says "I Love You" Like an open source app. Read More »Guarding your Data against Cyber Attacks
In this new era of heightened stakes comes an increased need for a comprehensive security strategy. Let's take a look at how cyber-threats have... Read More »The Great Data Storage Debate: Is Tape Dead?
Tape clearly is on the decline. But remember, legacy systems can hang for a shockingly long time. Read More »
A network is a group of two or more computer systems or devices, linked together to share resources, exchange files and electronic communications.... Read More »Computer Architecture Study Guide
This Webopedia study guide describes the different parts of a computer system and their relations. Read More »Webopedia Polls
The trend for the past two years has been for shoppers to spend more online during the holiday season. How do you typically shop for holiday... Read More »
Stay up to date on the latest developments in Internet terminology with a free weekly newsletter from Webopedia. Join to subscribe now.
- Watch Datamation's editor James Maguire moderate roundtable discussions with tech experts from companies such as Accenture, Dell, Blue Jeans Network, Microsoft and more »