BlueRoo

www.blueroo.ai

BlueRoo - The AI-Powered, Personal Shopper Platform for Retail Brands Engaging customers in personalized conversations anytime and everywhere throughout their customer journey. [This startup venture closed shop in 2020.] Solving Retailer’s Needs: Personalization - Shopping Profiles – Deep profiles of each customer’s needs and preferences o New Data – Enable retailers to collect and use social shopping data from Facebook and conversational commerce data across all channels o Unified CRM – Syncing “New Data” with existing CRM profiles - Product Recommendations o AT&T/Sprint deployments are a powerful training set for Roobot’s recommendation engine o Deliver AI-powered, personalized product recommendations and loyalty offers for each customer Marketing o Retargeting – Granular ad segments based on past shopping behavior o Targeting – Predicted shopping intent based on machine learning applied to Roobot’s training set of 10+ billion shopping events Omni-Channel - Improve the retailer’s existing customer experience by providing a voice/text-enabled Virtual Sales Associate - Delivers a personalized shopping experience anytime and anywhere they want to engage: o Website, App, Social Media, Personal Assistants/IoT, In-Store 1-to-1 Customer Engagement Anytime/Anywhere - Automation – Natural language processing + AI delivers the automation to give retailers a true “Virtual Sales Associate” scalable to millions of customers - Virtual Sales Associate -> Engagement, loyalty, up/cross-selling ->Instant Shopping Gratification Revenue Growth - New sales channels and customers - Higher conversion rates - Real time, data-driven, up/cross-selling - Increase Average Order Value and Revenue/Customer - Decrease cart abandonment via automated, real-time messaging/retargeting Cost Savings - Significantly reduce development, capital investment and maintenance - Potential to reduce costs of human customer service.

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BlueRoo - The AI-Powered, Personal Shopper Platform for Retail Brands Engaging customers in personalized conversations anytime and everywhere throughout their customer journey. [This startup venture closed shop in 2020.] Solving Retailer’s Needs: Personalization - Shopping Profiles – Deep profiles of each customer’s needs and preferences o New Data – Enable retailers to collect and use social shopping data from Facebook and conversational commerce data across all channels o Unified CRM – Syncing “New Data” with existing CRM profiles - Product Recommendations o AT&T/Sprint deployments are a powerful training set for Roobot’s recommendation engine o Deliver AI-powered, personalized product recommendations and loyalty offers for each customer Marketing o Retargeting – Granular ad segments based on past shopping behavior o Targeting – Predicted shopping intent based on machine learning applied to Roobot’s training set of 10+ billion shopping events Omni-Channel - Improve the retailer’s existing customer experience by providing a voice/text-enabled Virtual Sales Associate - Delivers a personalized shopping experience anytime and anywhere they want to engage: o Website, App, Social Media, Personal Assistants/IoT, In-Store 1-to-1 Customer Engagement Anytime/Anywhere - Automation – Natural language processing + AI delivers the automation to give retailers a true “Virtual Sales Associate” scalable to millions of customers - Virtual Sales Associate -> Engagement, loyalty, up/cross-selling ->Instant Shopping Gratification Revenue Growth - New sales channels and customers - Higher conversion rates - Real time, data-driven, up/cross-selling - Increase Average Order Value and Revenue/Customer - Decrease cart abandonment via automated, real-time messaging/retargeting Cost Savings - Significantly reduce development, capital investment and maintenance - Potential to reduce costs of human customer service.

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Country

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State

California

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City (Headquarters)

Burlingame

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Employees

11-50

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Founded

2010

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Estimated Revenue

$1,000,000 to $5,000,000

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Social

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Potential Decision Makers

  • Owner and Chief Executive Officer

    Email ****** @****.com
    Phone (***) ****-****
  • Director of Data Science

    Email ****** @****.com
    Phone (***) ****-****
  • Data Scientist

    Email ****** @****.com
    Phone (***) ****-****
  • Designer and Project Manager

    Email ****** @****.com
    Phone (***) ****-****

Technologies

(6)

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