Why manufacturers choose Kodiact
Direct materials represent the largest cost line in a manufacturing business, yet most teams still rely on spreadsheets, dashboards, and siloed tools that break under volatility. Kodiact replaces this with a unified model built on three layers and one canonical material identity, enabling proactive, simulation‑driven execution across the entire lifecycle.
OUTCOMES ACROSS COST, MARGIN, EXECUTION
A unified model built on three layers delivers measurable, repeatable outcomes across cost, margin, and execution.
Margin at Risk Visibility
See margin exposure weeks before it hits the P&L.
Cost Savings Identified
Derived should‑cost anchored on the input cost chain reveals defensible savings opportunities.
Decisions Logged
Every decision, every input, every outcome written to one ledger.
Simulated Futures
Shock propagation modeled across thousands of forward paths.
Why Manufacturers Choose Kodiact
First intelligent simulation for direct materials
The only system that connects materials, suppliers, price drivers, and decisions into one canonical model, revealing how shocks ripple across cost, supply, margin, and risk before they reach the P&L.
Three layers, one canonical model
A unified architecture that resolves every material to its inputs, unifies every decision into one ledger, and simulates outcomes before acting.
Derived should‑cost anchored on the input cost chain
Should‑cost built from real drivers, not last year’s price, giving teams defensible cost positions grounded in the canonical model.
End‑to‑end margin traceability
Trace margin from raw materials → price drivers → SKU → customer, with full visibility into exposure and impact.
See every ripple before it reaches the P&L.
Once materials, suppliers, price drivers, and decisions are interconnected, a shock anywhere in the world ripples across the entire portfolio. Kodiact reveals margin‑at‑risk before it hits the P&L and shows the actions that remove the most exposure per dollar spent.
-Trace shocks to magnitude, month, and SKU
-Identify the cheapest fix per pound spent
-Rehearse sourcing decisions before acting
-Stress test strategies across thousands of futures