Connect and prepare
Bring in the relevant signals
- Spend
- Contracts
- Supplier identity
- Commodity and logistics
- Quality
- Lead time
Reduce cost without increasing operating exposure.
Sourcing owners see cost opportunities and supplier exposures in the context of quality, continuity, product impact, alternatives, and accountable action.
The operating experience
See how the outcome changes—not another analytics project.
The business user receives a ranked, explainable operating view. Data preparation, model selection, back-testing, governance, monitoring, and evidence remain underneath it.
Aevah Data ScienceSourcing and cost intelligence
Illustrative interface · Enterprise scopeConsequential question
Owner review requiredWhere can we reduce cost or supply risk without creating a larger operating exposure?
Priority scopeWhat changedProposed actionState
01Material family A · Supplier group 03
Cost variance has a qualified alternative
Prepare negotiation pathEvidence ready02Material family C · Primary supplier
Savings shifts risk into continuity
Review dual-source scenarioReview required03Packaging family B · Regional supplier
Quality history changes the should-cost case
Hold pending evidenceMonitorAnalytical drivers · relative influence
Should-cost analysis
Supplier segmentation
Risk scoring
Price variance
Aevah recommendation
Advance cost actions only where supplier identity, contract position, quality, continuity, alternatives, and downstream product exposure support the negotiation path.
Assumptions, confidence, and constraints attachedIllustrative operating experience—not a customer result. Actual signals, recommendations, acceptance measures, authority, and evidence are established for each bounded implementation.
Outcome to improve
Improve negotiated cost and resilience without shifting hidden risk into service, quality, production, or margin.
- Accountable owner
- Sourcing or procurement executive
- Required participants
- Sourcing · Finance · Supply chain · Quality · Product
The Aevah evidence standard
Value is defined before the model is built.
Aevah does not manufacture an ROI number after delivery. The baseline, owner, measures, observation period, and evidence boundary are agreed before production work begins.
- 01 · Baseline
Name the current operating burden
Record how the decision is made today, how long it takes, where confidence breaks down, and which economic or operating measures already exist.
Produces · Current-state evidence - 02 · Acceptance
Define value before building
Agree the accountable owner, minimum useful data, action boundary, adoption signal, measurement horizon, and evidence required to continue.
Produces · Acceptance contract - 03 · Production
Observe the decision in use
Retain the model version, assumptions, confidence, recommendation, human challenge, approval, intervention, and exceptions inside the operating record.
Produces · Decision evidence - 04 · Outcome
Report where the conclusion stops
Compare observed performance with the accepted baseline, disclose constraints, and make an explicit accept, refine, pause, or expand decision.
Produces · Executive evidence decision
Decision contractOwner · baseline · boundary · measure · evidence
Retain the source basis, assumptions, alternatives, approvals, negotiated result, and downstream operating performance for each accepted sourcing action.
Realized costSupplier exposureQualityLead-time performanceAction completion
Operational data science behind this outcome
What Aevah assembles to produce measurable operating change.
Each capability below exists because a production outcome requires it. The business user experiences better performance—not the engineering, data-management, modeling, application, and governance handoffs behind it.
Trust and understand
Establish governed business context
- Supplier and item identity
- Contract context
- Cost definitions
- Risk features and models
- Negotiation history
Build and validate
Model and back-test the decision
- Should-cost analysis
- Supplier segmentation
- Risk scoring
- Price variance
- Scenario optimization
Decide and deliver
Put the answer into the work
Prioritized sourcing actions with cost, continuity, quality, confidence, alternatives, approval, and evidence attached.
Act and govern
Keep authority and traceability attached
- Sourcing or procurement executive
- Policy and permission
- Human confirmation and exception handling
- Retain the source basis, assumptions, alternatives, approvals, negotiated result, and downstream operating performance for each accepted sourcing action.
Measure and learn
Know whether it worked
- Realized cost
- Supplier exposure
- Quality
- Lead-time performance
- Action completion
The platform return
Improve this outcome. Preserve the operational data science behind it.
The sourcing and cost intelligence First Flight can establish reusable business context, quality rules, analytical assets, and evidence for the next business priority.
What this can build
- Supplier and item identity
- Contract context
- Cost definitions
- Risk features and models
- Negotiation history
Implementation path
Qualify one bounded production outcome.
A bounded implementation around one consequential operating area. Pre-packaged use cases carry a 30-day target after agreed data, access, ownership, and environment prerequisites are staged.
The target is not a universal delivery guarantee. Custom use cases and unstaged prerequisites require a separately agreed plan.Prerequisites to stage
- Named decision owner
- Representative prior decisions
- Source and definition access
- Agreed action and approval boundary
Evidence to agree
Retain the source basis, assumptions, alternatives, approvals, negotiated result, and downstream operating performance for each accepted sourcing action.
A practical next step
Build the value case for cost and resilience.
Create a preliminary brief with the outcome, accountable owner, current burden, minimum useful data, analytical path, action boundary, measures, and bounded route into production.
Build this Value Brief