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Technology Roadmap

Technology Roadmap

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Overview

This document outlines MOOD MNKY’s strategic plan for technological development and implementation, focusing on platform architecture, AI capabilities, and technical infrastructure.
This is a placeholder document. Detailed technology roadmap will be added in future updates.

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Technical Pillars

Platform Architecture

Building scalable and resilient infrastructure

AI Systems

Developing intelligent personalization and recommendation engines

Integration Capabilities

Creating seamless connections between physical and digital experiences

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Development Timeline

1

Foundation (2025 Q1-Q2)

  • Establish core platform architecture
  • Implement basic AI recommendation engine
  • Develop initial mobile applications
  • Create foundational data models
  • Build e-commerce infrastructure
2

Expansion (2025 Q3-Q4)

  • Enhance AI capabilities with emotional analysis
  • Launch API ecosystem for third-party developers
  • Implement advanced analytics and reporting
  • Integrate IoT capabilities for smart devices
  • Develop advanced personalization algorithms
3

Innovation (2026 Q1-Q2)

  • Implement edge AI capabilities for offline processing
  • Create decentralized data architecture
  • Develop conversational AI assistants
  • Build AR/VR experiences for product visualization
  • Implement blockchain for loyalty and ownership
4

Scale (2026 Q3-Q4)

  • Global infrastructure distribution
  • Multi-modal AI integration
  • Predictive supply chain optimization
  • Advanced security and privacy frameworks
  • Quantum-resistant cryptography implementation

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Technical Stack Evolution

  • 2025: Vue.js, TypeScript, Tailwind CSS
  • 2026: WebAssembly integration, Edge computing, Native mobile frameworks
  • 2027: Decentralized application architecture, AR/VR experiences
  • 2025: Node.js, Supabase, Serverless functions
  • 2026: Microservices architecture, Event-driven design, Distributed processing
  • 2027: Decentralized infrastructure, Edge computing dominance
  • 2025: Basic recommendation algorithms, Sentiment analysis
  • 2026: Advanced personalization, Multi-modal processing, Emotional intelligence
  • 2027: Federated learning, Edge AI, Context-aware systems
  • 2025: PostgreSQL, Vector databases, Basic ETL pipelines
  • 2026: Distributed data architecture, Real-time analytics, Advanced data governance
  • 2027: Multi-region replication, Predictive scaling, Quantum-resistant encryption

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Coming Soon

This documentation is under development and will include:
  • Detailed technical specifications
  • Architecture diagrams
  • Infrastructure requirements
  • Security considerations
  • Performance optimization strategies
  • Technical debt management
Check back soon for updates!