Skip to content

Info.md

Latest commit

 

History

History
118 lines (83 loc) · 9.29 KB

Info.md

File metadata and controls

118 lines (83 loc) · 9.29 KB
Raw

Info Detailed

Hackathon Submission Deadline - Nov12

GPT Description - Project

Project: Audience-Sync (Sortment on Coke)

Track: Microsoft Fabric + AI Innovation

Overview
Audience-Sync is a B2B engagement and retention platform designed to help businesses automate and optimize their marketing strategies. It enables companies to integrate warehouse data, segment audiences, create tailored campaigns, and analyze performance in real-time. Leveraging Microsoft Fabric’s AI capabilities, Audience-Sync aims to provide smart, data-driven automation that enhances audience targeting and campaign effectiveness. This project will focus on automating audience segmentation, template generation, and campaign workflows to streamline B2B marketing efforts.

Solution Breakdown:

Core Features (v0) – Sortment Features Clone

  1. Warehouse Integrations

    • Sync with business warehouse data, enabling real-time ingestion of user data (e.g., purchase history, interactions).

  2. SES Integration

    • Integration with Amazon SES for email delivery, ensuring seamless communication with target audiences.

  3. Database Visualizer

    • A tool to visualize and explore audience data, enabling marketers to understand and manipulate user information easily.

  4. Templates

    • Ready-to-use email templates that marketers can use for different types of campaigns.

  5. Workflows/Journeys

    • Build custom workflows or journeys to automate the entire marketing process from user segmentation to campaign deployment.

  6. Audience Creation (Segmentation of Users)

    • Create custom audiences by segmenting users based on warehouse data, behavior, and engagement.

  7. Campaigns

    • Use segmented audiences to run personalized campaigns that target specific user groups based on engagement metrics, purchase history, etc.

Enhanced Features (v1) – The Coke

  • AI-Driven Automations with Microsoft Fabric
    Leveraging Microsoft Fabric’s AI capabilities, the enhanced features focus on automating the most crucial parts of the platform.

  1. Automated Audience Creation

    • AI models integrated within Mi crosoft Fabric will automatically segment users based on behavioral and demographic data, purchase history, and engagement patterns from the warehouse. This step eliminates the need for manual audience segmentation, allowing businesses to focus more on campaign strategies.

  2. Automated Template Generation

    • Using AI, Audience-Sync will generate campaign templates tailored to specific audience segments. The AI engine will analyze past campaign performance, audience preferences, and engagement data to recommend or auto-create high-performing templates.

  3. Automated Workflows

    • AI-powered workflows that create personalized user journeys based on audience segments. The system will decide the best time to send campaigns, the optimal content for each segment, and even recommend follow-up actions based on real-time data.

  4. User Segments Visualizer

    • An AI-driven dashboard to visualize audience segments. Marketers will get dynamic insights into user behavior and preferences, with AI suggesting tweaks for better engagement.

  5. Campaign Suggestions

    • Using predictive analytics, AI will recommend campaign ideas and optimal timings for sending emails to different audience segments. Suggestions will be based on real-time data and the historical success of similar campaigns.

  6. Ads Integration

    • Integrate ad platforms to leverage user segments and automatically suggest or create ads for different groups based on their interests and behaviors.

Primary Focus Track: Microsoft Fabric + AI Innovation

This solution will clearly fit within the Microsoft Fabric + AI Innovation track as it focuses heavily on utilizing AI and Microsoft Fabric to automate and optimize key components of marketing, such as audience segmentation, template generation, and campaign recommendations. The project solves real-world problems for B2B companies by streamlining marketing operations using data-driven insights and AI-based automations.

Key Components of AI Integration:

  • AI Skills in Audience Segmentation: Automatically segment audiences based on various data inputs like purchase history, behavior, and demographics.
  • AI-Generated Templates: Automatically create or recommend high-performing email templates using past campaign success and audience preferences.
  • Predictive Campaigns: Suggest the best times and content for launching campaigns based on audience behavior, engagement history, and warehouse data.

Immediate Tasks (v0) – Sortment Features Clone

  1. Integrate warehouse data (e.g., via Dataflows or a similar data pipeline).
  2. Set up SES integration for email campaign delivery.
  3. Develop a basic Database Visualizer for audience insights.
  4. Provide simple email templates for campaigns.
  5. Implement basic workflows/journeys for campaign management.
  6. Enable audience creation based on user segments (age, purchase history, engagement).
  7. Launch the campaigns feature to run personalized marketing strategies.

Advanced Tasks (v1) – The Coke

  1. Integrate Microsoft Fabric for AI-powered audience segmentation.
  2. Implement AI-based template generation in Fabric.
  3. Create AI-driven workflows that automate user journeys and engagement.
  4. Build a User Segment Visualizer using real-time data analytics from Microsoft Fabric.
  5. Integrate AI-based campaign suggestions and ads integration for further personalized marketing.

Why This Project Fits the Microsoft Fabric + AI Innovation Track

  • AI-Powered Automation: We are building an AI-powered platform that eliminates manual tasks, such as audience segmentation and campaign planning, by leveraging Microsoft Fabric’s AI and automation capabilities.
  • Real-World Problem Solving: Audience-Sync solves real-world challenges faced by B2B marketers, especially in audience targeting, engagement, and campaign performance optimization.
  • End-to-End Solution: From data integration to AI-driven automation, the platform leverages Microsoft Fabric’s AI services to provide an end-to-end solution for marketing automation, making it a perfect fit for the AI Innovation track.

By focusing exclusively on AI-powered features and Microsoft Fabric integration, your project will be aligned strongly with one track, making it more targeted and increasing your chances of winning the hackathon.

Microsoft Fabric Hackathon - https://microsoftfabric.devpost.com/

Tracks

  • Microsoft Fabric + AI Innovation

    • A solution that solves a real world problem with Microsoft Fabric by implementing any concept or collection of concepts related to Artificial Intelligence.
    • This could include a document analysis service that uses AI Skills or an Azure OpenAI based solution to implement a retrieval augmented generation architecture, training and deployment of a custom object detection model, anomaly detection, predictive forecasting, or any other modern application of AI within Microsoft Fabric.

  • Real-Time Intelligence in Microsoft Fabric

    • A solution that uses Real-Time Intelligence (RTI) in Microsoft Fabric to solve a real world problem.
    • RTI is all about data integration, so showcasing how you can use RTI to integrate data from multiple sources and make real-time decisions based on that data is key. Any good RTI solution would include real-time data processing, real-time analytics, real-time monitoring, real-time alerting, or any other real-time application within Microsoft Fabric.
    • Using RTI as a source of data for your AI application is also a great way to showcase the power of RTI. Showcasing open-source integrations like Apache Kafka or AMQP, and showing cross-cloud or hybrid cloud integrations is also a plus, but not required.

  • Azure Database for PostgreSQL Integration

    • A real-world solution that uses Azure Database for PostgreSQL as an OLTP main transactional database and the transactional data has to be offloaded to Fabric for near real-time analytics. This could involve using Event streaming connector for Azure Database for PostgreSQL or other techniques such as Dataflows (Gen2), Notebooks, or Data Factory Pipelines. Data landing in Fabric can be used in near real-time intelligent scenarios such as anomaly detection, predictive maintenance and other predictive scenarios, or personalized recommendations amongst others.

  • SQL And AI Integration

    • A real-world solution that is built on Microsoft Fabric that leverages Azure SQL Database or SQL Server, and augmented by AI capabilities. This could involve using Mirroring, Eventstream's Change Data Capture (CDC) Connector for Azure SQL DB, or using ingestion techniques such as Dataflows (Gen2), Notebooks, Data Factory Pipelines, and AI-driven analytics and insights.

  • Azure Cosmos DB + Microsoft Fabric Integration

    • A real-world solution that is built on Microsoft Fabric, leveraging Azure Cosmos DB. This could involve using Mirroring for enabling analytics/BI on Cosmos DB data, Eventstream's Change Data Capture (CDC) Connector for Cosmos DB, or using ingestion techniques such as Dataflows (Gen2), or Data Factory Pipelines.