Explore how a decision engagement is framed, what it produces and how value can be evaluated. These are illustrative business scenarios based on AEVO capabilities, not published customer case studies or verified performance claims.
A manufacturer needs to assess a new order without disrupting existing commitments. Compare margin, material availability, machine capacity and delivery feasibility together. The output is a reviewable acceptance and scheduling recommendation, measured against delivery and contribution-margin baselines.
On-time delivery · contribution margin · schedule adherence · capacity utilization
A multi-location business needs service levels without unnecessary stock. Model demand and lead-time uncertainty, compare replenishment policies, and trace their impact on stockouts, inventory days and the cash conversion cycle before changing the operating policy.
Fill rate · inventory days · stockouts · procurement cost · recovery time
An operator considers coordinating solar, storage and flexible loads. Compare dispatch scenarios under tariffs, asset degradation and carbon objectives. Separate operating savings from investment assumptions, and validate feasibility before connecting asset controls.
Energy cost · peak demand · emissions · asset degradation · project cash flow
Explore the Enterprise Decision Engine with sample data. See how business priorities, constraints and recommended actions come together.
Decision Engine DemoThe public decision engine has eight modules and uses sample data. Production planning and energy optimization are additional enterprise capabilities. Demonstrations illustrate scenarios, not customer results.
Tell us where cost, capacity, risk or cash is limiting performance. We will help define a focused evaluation before committing to a wider transformation.