Decision Engine
The Enterprise Decision Engine is a public experience using built-in sample data. Explore how business objectives, constraints and alternative actions can be reviewed together before discussing a company-specific engagement.
Start with one business question. Examine the sample inputs, change the assumptions available in the module, and compare the resulting alternatives. Ask which constraints are binding, what changes when an assumption is wrong, and who should approve the action. The experience demonstrates a decision process; it does not validate production readiness or customer returns.
Operations control tower
A control tower for a supply network: when demand changes or a supplier stops, the model compares keeping the current plan with re-planning and explains why; nothing runs until you approve. The data is illustrative and the model runs in your browser.
This is an example log produced at build time, approving the three events in turn. With JavaScript, the events arrive live and you approve them.
Demand for this batch rises from 1,200 to 1,400 units.
Keeping the current plan: 1,200 of 1,400 units on time
Re-plan: 1,300 of 1,400 units on time (100 more), variable cost $36,085 (+$3,185)
Why Both plants together are at their capacity of 1,300 units; the other 100 units need overtime, outsourcing or a new date agreed with the customer.
Supplier A cannot ship its 600 units for this batch.
Keeping the current plan: 700 of 1,400 units on time
Re-plan: 950 of 1,400 units on time (250 more), variable cost $27,400 (+$8,200)
Why Suppliers B and C are fully used at 950 units together; 450 units are still missing and need a new source.
Supplier C raises its capacity for this batch from 500 to 700 units.
Keeping the current plan: 950 of 1,400 units on time
Re-plan: 1,150 of 1,400 units on time (200 more), variable cost $34,400 (+$7,000)
Why The extra 200 units go from supplier C to plant 1 (6 days), inside the 7-day deadline.
Illustrative data · the model runs in your browser · not live client data
Prepare governed data products, agree their freshness and definitions, and connect them to objectives, constraints and approval rules. Explore how a lakehouse becomes the data foundation for the Enterprise Decision Engine.
Build the foundation for your decision engineA company engagement begins with data availability, decision ownership and evaluation criteria. Production scheduling and energy optimization are additional AEVO capabilities, outside the eight public engine modules. The appropriate solution, integration and private deployment requirements are assessed for the agreed workflow.
Explore the decision logic
Choose a capability to see the information, trade-offs and review outputs it connects. These are conceptual workflows, not live product screens.
Explore how demand changes affect replenishment, shortage risks and inventory levels.
Demand, lead times and stock levels
Replenishment timing and quantity
Service levels, shortages and stock exposure
Compare the effects of receivables, payables and inventory on the cash conversion cycle.
Receivables, payables and inventory
Collection and payment assumptions
Cash conversion and liquidity implications
Review supplier concentration, delivery variability and sourcing alternatives.
Supplier concentration and delivery variability
Sourcing alternatives and supply buffers
Continuity risks and trade-offs to review
Explore the data-to-decision architecture
Follow enterprise data from source records to a governed recommendation. Select a stage to see its role, handoff and business relevance.
ERP · CRM · MES · WMS · IoT · finance · external data
Governed Silver datasets can also support ML and detailed analysis. Consumers do not all need the same Gold product.
Gold supports business data products and BI. Approved datasets enter the Decision Engine together with objectives, constraints and approval rules; analytics alone does not authorize an action.
Ownership · access · quality · lineage · retention · monitoring
Select a stage to explore the flow. Use the trace button to follow one illustrative decision.
Tell us where cost, capacity, risk or cash is limiting performance. We will help define a focused evaluation before committing to a wider transformation.