What's On Pic roadmap

updated 09 October 2018

What’s On Pic is a revolutionary e-commerce marketplace

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Status: ended
Presale: 26 Nov`18-15 Feb`19
Public sale: 22 Feb`19-19 May`19
Cap: 21 987 500 USD
Goal: 21 987 500 USD
Price: 1 AWT = 0.0125 ETH
Blockchain: Ethereum
Offering type: Utility
Country: Australia
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  • Q3 2016

    Detailed study of affiliate, cashback services, and impulse buying market Legal issues analysis for service launch in particular countries Competitive landscape analysis Creating specifications for the server part, and the web and iOS clients

  • Q4 2016

    Team building Drawing and approval of design Implementing core functionality Launch of iOS client development

  • Q1 2017

    Completion of the server part development Connecting affiliate aggregators and individual trading platforms Implementing the feature of rewards allocation to users iOS client development Launch of WEB client development

  • Q2 2017

    Encryption and secure data storage system Launch of beta version of iOS client Launch of beta version of the Web client Mass testing Bug fixing Implementation of additional functionality for iOS in connection with the release of the new version Intelligent matching system (photo-based) beta version development

  • Q3 2017

    Publishing iOS app Audience testing, targeting Implementation of the functionality of referral bonuses for inviting new users Implementation of the functionality providing the viral effect Implementation of systems development technologies: image recognition system, user clustering

  • Q4 2017

    Finalizing app development Project launch in North America (the first stage – 2 countries) Morphological and semantic text analyzer

  • Q1 2018

    User clustering system Connecting new stores

  • Q2 2018

    Connecting new stores and content monetization platforms / affiliate aggregators Development of the web platform functionality

  • Q3 2018

    Implementing using ICO user tokens for purchasing in our store with dropshipping technology. Improvement of artificial intelligence algorithms for recognizing products in the photo. More precision photo recognition with branding recognize (Image recognition system) Improving interface for support native futures of iPhone X (FaceID recognition, Spread 3D touch over interface, 3D touch on application with context menu: Create post, Check balance, Discover)

  • Q4 2018

    Developing support of ICO tokens in application and add ability to earn tokens instead of USD Implementing Android client Implementing client for iWatch (Checking balance, statistics, count of view) Connecting new stores and content monetization platforms / affiliate aggregators in the countries of the second stage Project launch in Europe (the second stage – 7 countries) Start of a marketing campaign in the countries of the second stage. Implementing own trading platform based on dropshipping technique to increase profitability

  • Q1 2019

    Deep integration with social networks, and developing Google Chrome plugin for identifying goods on pictures and providing easy to use links to proceed purchases. Implementing own API for integrating new partners Start of the token buyback program

  • Q2 2019

    Covering an estimated target audience in the first stage countries Connecting new stores and content monetization platforms / affiliate aggregators in the countries of the third stage Project launch in the countries of the third stage (the third stage – 14 countries) Start of a marketing campaign in the countries of the third stage.

  • Q2 2019

    Covering an estimated target audience in the first stage countries Connecting new stores and content monetization platforms / affiliate aggregators in the countries of the third stage Project launch in the countries of the third stage (the third stage – 14 countries) Start of a marketing campaign in the countries of the third stage.

  • Q3 2019

    Covering an estimated target audience in the second stage countries Covering an estimated target audience in the third stage countries System adaptation and intelligent selection algorithms tuning in accordance with local and mental audience specifics

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