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Personalizing local discovery through data and chatbot interactions.

Personalizing local discovery through data and chatbot interactions.

Every day, tens of millions of people face the issue of trying to decide on and plan activities with friends, family, and colleagues. Today’s search engines and online directories do a good job of providing basic data, but do not personalize AND facilitate relevant recommendations. HowzBout is a desktop, mobile web, and mobile application that will eliminate indecision by making personalized activity recommendations based on multiple variables such as user objective, likes & dislikes, location, budget, date and time, weather, and more. Because HowzBout will know what consumers want and like, merchants will be able to place highly targeted advertisements and offers in front of customers with the highest likelihood of conversion.
Founder and CEO of Douglas-Danielle (acquired by Trans Union). Investor and Board Member for Web Decisions (acquired by Deloitte). Co-founder of Inadco.

CTO, Full-stack Developer

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