eCommerce Solutions

As Internet transactions and data volumes continue to skyrocket, more and more traditional eCommerce and Web 2.0 businesses need to monitor and instantly react to all user activity in real-time in order to ensure a positive customer experience, high customer retention rates, and greater profit.  Just consider this data point from 2006-2007:

• More than $200 billion in Internet retail transactions were conducted in 2006, and more than $3 billion of that e-commerce revenue was lost to fraud.

StreamBase’s Complex Event Processing (CEP) software, using the next-generation programming language, StreamSQL™, solves the real-time data management problems associated with these trends with an infrastructure platform for capturing, integrating, and reacting to real-time event data, at speeds up to hundreds of thousands of messages per second. With StreamBase, online firms can build highly scalable low-latency applications that process and analyze data as fast as it arrives—and these applications can be built in as little as days.

Some of the challenges being addressed through StreamBase include:

• Website Monitoring: With clickstream and transaction rates soaring, a growing number of high-traffic e-businesses are seeking to monitor and react instantaneously to website-generated real-time events. StreamBase enables e-Businesses to analyze and react to clickstreams in real-time, which in turn enables the immediate delivery of personalized cross-sell or up-sell offers, or online product merchandising customized to the real-time activity of site visitors.  By analyzing current web activity data and correlating this with stored customer history data, personalized offers can be generated that match the Web customer’s current interests and activity.

In addition, with StreamBase, e-Businesses are able to better track IP addresses to detect unusual activity and respond to web application problems, transaction failures or abandoned shopping carts in real-time to maintain loyalty and fuel greater profitability.

• Fraud Detection: In order to work optimally for e-Commerce, fraud detection and prevention applications must operate in real-time. Traditionally, fraud detection has relied on querying stored transactional data for patterns of illicit activity; however, this approach simply detects the fraudulent activity after it has occurred.  StreamBase enables firms to quickly build applications that capture and back-test up to years of transactional data to detect patterns indicative of fraud—and also easily run these applications on live event data to prevent fraud the moment when it is being attempted.   In addition, StreamBase integrates seamlessly with popular visualization software, enabling users to easily monitor operations and detect potential fraud via customized charts and interactive dashboards.  By leveraging StreamBase's real-time processing and analytic capabilities, e-Businesses can highlight and halt suspicious traffic that may be fraudulent and could lead to damaging financial losses.