Alabot partners with mobile-worx to launch Intelligent SMS Search

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New Delhi, Jan 28 (ANI/Business Wire India): Alabot has announced its partnership with mobile-worx, a leading mobility solutions firm to launch Intelligent SMS Search in India.

"Alabot is a paradigm shift in how SMS services are used currently. We are pleased to be partnering with mobile-worx to take this innovative product to market," said Akshat Shrivastava, CEO of Alabot.

Asif Ali, President, mobile-worx said: "Intent marketing works - this has been proven time and again. This service will better understand the users intent and make recommendations to him delivering compelling value to advertisers."

The service will be powered by a "bot" - a self directed intelligent agent, who understands natural human language and interacts with users using non-syntax based data inputs.

This Intelligent SMS Search will enable users to search the directory of users (from open social networks), mobile content, local business directories, local deals, train / flight tickets, hotel deals and movie tickets for major cities in India. Users can eventually transact through the service.

The service will be completely supported through mobile advertising as a primary business model and contextually relevant ads will be inserted during the conversation as recommendations by the bot.

This interactive interface represents the next step in the usability of mobile SMS applications and will remove the frustrating roadblock of remembering keywords of short code based services by combining and aggregating local search in an extremely user friendly interface.

Users can search using phrases from English, Hindi and other languages without having to remember syntax, sentence structure or multiple short codes.

Both Alabot and mobile-worx are in the process of forming alliances with a slew of content partners that will drive the search service.

ZestADZ - India's leading mobile ad marketplace will serve contextually relevant text advertisements and related offers that will be recommended to the user during the conversation, making the service highly contextual and non-invasive.

ANI

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