Phase 1 (0–12 months) — Foundation: data foundation and governance, use case prioritisation and business alignment, farmer and field data digitisation, quick wins and automation.
Phase 2 (12–24 months) — Optimisation: scale analytics and AI models, route optimisation and logistics intelligence, quality and defect AI systems, market intelligence platform.
Phase 3 (24–36 months) — Scale and growth: enterprise AI platform rollout, yield and quality at scale, advanced market intelligence, carbon and ESG monitoring.
Phase 4 (36–60 months) — Ecosystem leadership: an AI-enabled ecosystem for partners, traders and roasters, premium brand positioning, a data marketplace for insights and global market leadership.