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Inkiru Unveils Industry's First Real-Time Predictive Intelligence Platform for RetailPatent-Pending Active Learning System Combines Real-Time Predictive Analytics, Data From Disparate Sources and a Customizable Decision Engine to Reduce Costs and Drive Profit (June 06, 2012)
PALO ALTO, CA -- (Marketwire) -- 06/06/12 -- Inkiru, a leading provider of predictive intelligence solutions for big data, today unveiled the Inkiru Predictive Intelligence Platform, a powerful rules-based analytics platform that enables Merchants, Marketplaces and Merchant Acquirers to leverage real-time modeling and predictive analytics for timely and effective data driven decisions, within the live transaction. The platform, released today for the eCommerce market, reduces risk, minimizes operational overhead due to charge-backs, reviews & declines, and drives higher profit through more effective customer segmentation and targeting.
Alok Bhanot, Founder and CEO of Inkiru, explained, "Retailers, Transaction Processors and Banks continue to amass huge volumes of detailed data about consumer transactions. The explosion of social and mobile applications is accelerating the growth in volume and diversity of this data. Yet, the complexity and variations in the formatting of these sources, together with the sheer number of data sources, have made it very difficult to uncover meaningful intelligence. Inkiru has taken a new approach. Unlike other solutions that mine static data sources to uncover information, our predictive intelligence platform progressively analyzes and delivers actionable advisories in real-time. With Inkiru, retailers finally have access to live, meaningful intelligence as transactions occur. The result is better segmentation and targeting, reduced manual reviews and a dramatic reduction in the number of fraudulent transactions."
The platform is an active learning system that utilizes live algorithms and data augmentation to bring real-time predictive analytics to big data challenges. It is an advanced, cloud-based, solution that leverages a vast transaction-oriented information ecosystem, private data, and predictive analytics algorithms to deliver advisories and alerts as transactions occur.
Unlike other big-data analytics offerings, often built on outdated business intelligence approaches and requiring lengthy professional services deployments, significant training, and deep technical knowledge, the Inkiru Predictive Intelligence Platform is designed for the business user. It can be operational in a matter of weeks and begin to show meaningful business results within days of deployment. With Inkiru, retailers can develop deep insights about their consumer's behavior and purchasing patterns while monitoring and reducing fraudulent transactions and transaction overhead.
Taming Fraud, Uncovering Profit and Improving User Experience with Real-Time Intelligence
Analysts predict that retailers with the right processes in place to properly utilize massive amounts of data can benefit from a potential 60% increase in operating margins, and an annual 0.5% productivity boost*. Inkiru leverages predictive capabilities to identify potentially fraudulent transactions and discover monetizable customer patterns such as buying behavior and online customer activities. Robust platform features analyze this data across disparate datasets and score transactions in real-time, during the live transaction. This intelligence allows retailers to identify profitable customers and more effectively target them with promotions and offers as well as provide them with optimal, informed customer service.
The Inkiru Predictive Intelligence platform transforms customer interactions, enabling businesses to reduce fraud, improve customer segmentation and targeting and increase profit. Within a cloud infrastructure of unparalleled speed, flexibility, cost and scalability, the Inkiru patent-pending active learning system allows businesses to leverage information stored in massive data sets to gain business insight and translate insights into actionable advisories delivered in real-time to live systems. For more information about Inkiru, email Inkiru at email@example.com, or visit http://www.inkiru.com.
©Inkiru is a registered trademark of Inkiru, Inc.
*McKinsey & Company, 2010
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