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SPARKDIT

Sparkdit

Information Technology And Services, 77 Ave, Menlo Park, California, Massachusetts, 02139, United States, 11-50 Employees

sparkdit.com

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phone no Phone Number: +12*********

Who is SPARKDIT

SPARKDIT is revolutionizing the online shopper's experience, allowing retailers to deliver a new way to connect with their customers, keep them engaged and turn them loyal. Our cutting-ed...

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  • 77 Massachusetts Ave, Menlo Park, California, 02139, United States Headquarters: 77 Massachusetts Ave, Menlo Park, California, 02139, United States
  • 11-50 Employees: 11-50
  • dollar-icon Revenue: $1 Billion and Over
  • Fadi Micaelian CEO:   Fadi Micaelian

industries-icon Industry: Information Technology and Services

SIC SIC Code: 7371; 8221 | NAICS Code: 621111 | Show More

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SPARKDIT Org Chart and Mapping

Fadi Micaelian

Fadi Micaelian

CEO

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Frequently Asked Questions Regarding SPARKDIT

Answer: SPARKDIT's headquarters are located at 77 Ave, Menlo Park, California, Massachusetts, 02139, United States

Answer: SPARKDIT's phone number is +12*********

Answer: SPARKDIT's official website is https://sparkdit.com

Answer: SPARKDIT's revenue is $1 Billion and Over

Answer: SPARKDIT's SIC: 7371; 8221

Answer: SPARKDIT's NAICS: 621111

Answer: SPARKDIT has 11-50 employees

Answer: SPARKDIT is in Information Technology and Services

Answer: SPARKDIT contact info: Phone number: +12********* Website: https://sparkdit.com

Answer: SPARKDIT is revolutionizing the online shopper's experience, allowing retailers to deliver a new way to connect with their customers, keep them engaged and turn them loyal. Our cutting-edge AI engine delivers a unique, personalized experience by mimicking consumer behavior decisions, yielding a 2x recommendation conversion rate compared with current AI based Collaborative Filtering or Content Filtering techniques. This translates in online sales increase of 20%. More importantly we achieve this breakthrough without intruding on the consumer privacy. Quenching, in the process, the insatiable appetite of traditional AI for private data, and solving the AI causality challenge.

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