EcoMate – Future Roadmap (Living Document)
This roadmap consolidates the current upgrade plan and future objectives for EcoMate into a unified strategy. It aligns all four data domains—Market & Supply Chain, Regulatory & Compliance, Environmental & Geographic, and Operational & Predictive—so that development phases build on one another and the platform evolves coherently.
Phase 1 – Foundation (0–3 months)
- Proposal & Costing: Vendor API integration for live pricing, stock, and branded PDF output.
- Catalog & Maintenance: Normalizers for Shopify/WooCommerce/Medusa; Scheduler with site/environmental rules.
- Compliance: Base YAML rulesets (SANS, ISO) with CI compliance gate.
- Environmental Context: Geocoding, distance, elevation, slope, soil class, rainfall normals; Terrain & climate multipliers in cost model; Protected-area pilot checks.
- Telemetry: Rolling baseline ingestor, TimescaleDB/InfluxDB + Grafana dashboards.
Phase 2 – Expansion (3–6 months)
- Market Intelligence: Competitor monitoring; Alternative sourcing workflows (Alibaba/local distributors).
- Regulatory Intelligence: Connectors for SANS, ISO, EPA; Feed monitor with draft rule files.
- Environmental Context: Daily climate series + drought index; Contextualized telemetry alerts.
- Operational Intelligence: IoT ingestion pipeline; Merge telemetry with maintenance logs; Early predictive models.
Phase 3 – Advanced Intelligence (6–12 months)
- Proposal Agent: Scenario modeling and ROI (NPV/IRR).
- Compliance by Construction: Auto-suggest compliant designs; Municipal bylaw rulesets.
- Telemetry & Predictive Maintenance: Automated pre-emptive work orders; Efficiency optimization.
- Digital Twin: Interactive schematic overlays; Compliance + BOM + telemetry in one view; “What-if” simulations.
Future State (12+ months)
- Data & Regulatory: Autonomous supplier selection; Automated rule ingestion; Predictive alerts; Hydrology and soil/water overlays.
- Technological Advances: Full digital twin simulation environment; AR/VR visualization; Multi-agent orchestration.
- Platform Autonomy: End-to-end workflows (proposal → compliance → maintenance → optimization); LLM-backed advisory agents.
- Market Expansion: Extensions to solar, HVAC, smart-grid; White-label platform options.
- Advanced Simulation & AI: Reinforcement learning with digital twin for trade-off optimization.
Living Roadmap Practice
- Cadence: Update every sprint (2–3 weeks).
- Inputs: Supplier APIs, regulatory feeds, IoT logs, climate services.
- Outputs: Refined priorities, GitHub issues/epics, updated docs.
Strategic Trajectory
- Phase 1: Foundation with live data + compliance basics.
- Phase 2: Intelligence through competitor monitoring, regulatory feeds, IoT ingestion.
- Phase 3: Predictive maintenance + Digital Twin.
- Future State: Fully autonomous, simulation-driven EcoMate ecosystem with self-tuning systems, AR/VR diagnostics, and multi-agent orchestration.