This is like giving your global supply chain a smart GPS and co‑pilot: it constantly looks at all the data (demand, inventory, shipping, risks), simulates options, and recommends the best decisions instead of people doing it all in spreadsheets and emails.
Reduces the complexity and latency of making supply chain decisions across global networks (demand volatility, inventory imbalances, logistics disruptions, supplier risk) by turning raw data into recommended actions and simulations rather than static reports.
If executed well, the moat comes from proprietary, longitudinal operations data and the embedding of decision workflows across planning, procurement, and logistics. Over time, the system learns the company’s specific constraints and behaviors, making it hard to rip out and replace.
Hybrid
Vector Search
High (Custom Models/Infra)
Data integration and data quality across many ERPs, planning tools, and logistics systems; plus computational cost for large-scale simulations and frequent scenario runs.
Early Majority
Compared to classic supply chain planning tools, ‘decision intelligence’ emphasizes continuous, AI-driven recommendations and scenario planning across the full decision cycle (sense, simulate, decide, act), rather than periodic planning runs and static dashboards.