Context

Sustainable aviation fuel (SAF) producers depend on the right feedstock mix—balancing cost, carbon intensity, availability, certification validity, and overall compliance. Feedstock decisions directly influence CI scores, production economics, and regulatory eligibility. Feedstock Sourcing Intelligence introduces an AI‑first sourcing advisor that evaluates suppliers using structured cost and carbon profiles. It reviews available options and recommends the most efficient choice, adding an intelligence layer without requiring external data.

Challenges

Procurement teams often manage supplier data manually—spread across spreadsheets, emails, and disconnected systems. Understanding cost differences, carbon profiles, certification status, and sustainability risks becomes time‑consuming and error‑prone. Sustainability teams must verify attributes and certifications, while compliance teams check validity dates and evidence completeness. Finance and executives lack real‑time visibility into trade‑offs and sourcing rationale. Without a unified model or automated evaluation, selecting the optimal feedstock mix becomes inconsistent and slow.

Solution

Feedstock Sourcing Intelligence establishes a structured, AI‑ready sourcing workflow using Planner Designer. It begins by capturing user requirements across procurement, sustainability, compliance, finance, and executives, then generates a detailed blueprint of processes, data models, and technology components. Supplier data, feedstock costs, carbon values, certifications, expiration dates, and decision logs are stored in a unified model.
A model‑driven Sourcing Console enables comparisons, while the Sourcing Decision Copilot becomes the intelligence centerpiece—evaluating all feedstock options, recommending the optimal choice, explaining trade‑offs, highlighting risks, and retrieving evidence or certificate status instantly. Automated alerts flag expired certificates, and dashboards summarize sourcing rationale for review. The result is a transparent, consistent, and AI‑assisted decision system that improves procurement confidence and sustainability performance.