Context

Biofuel production depends on consistent evaluation of feedstock quality and sustainability, but manual checks and scattered data make it difficult to manage variations in moisture, impurities, energy content, and sustainability attributes. An AI‑first approach using Microsoft Planner Designer enables automated interpretation of reference values and objective scoring, helping teams act quickly and confidently.

Challenges

Planners struggle with fragmented data and inconsistent batch inputs, slowing comparisons and prioritization. Manual scoring introduces delays and variability, while operations teams lack clarity on which batches need attention. Supervisors also face difficulty maintaining transparent, audit‑ready rationale behind decisions.

Solution

Microsoft Planner Designer defines feedstock criteria, roles, and process steps, forming a structured blueprint for AI‑driven scoring. Copilot analyzes batch attributes against reference thresholds to produce a unified Quality + Sustainability Score with clear explanations. The Feedstock Planner Dashboard centralizes batch details, recommended actions, and scoring insights, while automated workflows streamline approvals, escalations, and monitoring for consistent and auditable evaluation.