Rivvun AI — System of Outcomes

Spend Optimization & Cost Reduction

Turn category intelligence into owned actions and finance-verified cost savings.

Find · Qualify · Execute · Verify
What this solution does
Spend Optimization is Rivvun’s agentic AI procurement cost-reduction solution. Spend Steward — the AI agent behind it — autonomously discovers, qualifies and routes savings opportunities into owned execution cases and finance-accepted cost savings , and humans approve every consequential decision.
Why the value gap persists

An opportunity landscape is not an action portfolio.

Spend analytics answers who was paid and where variance exists. It cannot say whether the growth was valid, which contract governed the transaction, or which action will move the P&L.

A spend dashboard shows the insights on how the metrics stand. Rivvun agents take it further with domain playbooks to autonomously scan opportunities, qualify them, identify the implementation path and set up the execution with evidence.

Product experience

From category savings playbook to
finance-accepted outcome.

System of Outcomes
Detect → Recover → Prevent → Scale

Category Savings Playbooks

Proven category levers, encoded for execution

Start with category economics — not a generic spend chart.

  • Define cost drivers, comparability rules and commercial constraints.
  • Encode plays with required data, eligibility, exclusions and evidence thresholds.
  • Apply contract, supplier, demand, specification, location and market context.
  • Set the calculation, materiality, confidence, permitted actions and approval gates.
Spend Steward · Category savings playbook library Interface preview
Category Savings Playbooks

Opportunity Discovery & Qualification

Convert spend patterns into a defensible opportunity portfolio.

Turn purchase transactions into a defensible entitlement and an actionable opportunity.

  • Reconcile eligible spend by category, supplier, entity, region, period, contract and channel.
  • Normalize item or service, specification, UOM, role, plant, volume, currency and landed cost.
  • Apply plays for consolidation, harmonization, demand aggregation, channel, specification, terms, sourcing and recovery.
  • Quantify gross signal, counter-evidence, qualified value, confidence, feasibility, time to value and risk.
Spend Steward · Opportunity portfolio Qualified
Opportunity Discovery & Qualification

Opportunity Case & Decision

Evidence, business case, owner and approval

Make every opportunity decision-ready for procurement and finance.

  • State the opportunity, category playbook and savings lever.
  • Show the normalized baseline, counterfactual, comparable cohort and transaction population.
  • Attach governing commercial evidence, root cause, counter-evidence and the alternatives rejected.
  • Recommend the action: negotiate, source, consolidate, harmonize, change channel, amend, correct or recover.
Spend Steward · Opportunity case Decision-ready
Opportunity Case & Decision

Execution & Value Realization

Action register to finance-accepted outcome

Close the loop beyond the dashboard.

  • Create or connect the sourcing, supplier, contract, catalog, price-file, PO, recovery or operational action.
  • Validate subsequent PO, invoice, credit, payment, usage, volume or operational evidence.
  • Report hard savings, recovery, cost avoidance, working capital and productivity separately.
  • Create a forward control and monitor adoption, benefit erosion and recurrence.
Spend Steward · Action register & value ledger Finance accepted
Execution & Value Realization
Illustrative Model

What an optimization scan finds

$1.2B
Indirect spend · 3 categories
12
Markets in scope, 24 months
18k
Active suppliers in scope
2.6M
Transaction lines, 2 ERPs + P2P

The challenge

A category manager can benchmark one category in one market in about three weeks. The full grid here is thirty-six category-market pairs — roughly two analyst-years before anyone can act — by which point half the contracts have rolled over.

What agents find

Price harmonization
$9.8M
Supplier consolidation
$7.1M
Volume tier headroom
$4.4M
Spec & demand rationalization
$2.6M
Total identified
$23.9M
Value realization
$23.9M
Identified
$17.2M
Validated
$5.4M
Execute this quarter
$11.8M
Sourcing pipeline
Industry lens

Typical industry use cases

The same solution, in the language of your industry — where this problem lives and what the agents do about it.

CPG

Harmonize the network before the next negotiation

Every market negotiated well locally — the same copacker, the same corrugate grade, the same lane priced differently in each region, with freight terms and incoterms that make nothing comparable. The annual RFP restarts from list price because nobody can see the best rate already achieved in-network.

What agentic AI changes

The agents normalize spec, pack size, currency and landed cost across markets, then price the same item from the same supplier parent side by side. Harmonization to best-in-network, combined-volume tier headroom and consolidation candidates arrive as a ranked pipeline — before the sourcing calendar starts.

Med-Tech

The component portfolio the acquisitions left behind

Device platforms acquired over a decade buy the same resins, PCBAs and precision machining from overlapping suppliers on legacy pricing — and each EMS partner buys the same components at its own cost. Synergy waits on a PLM harmonization that never finishes.

What agentic AI changes

The agents match components across divisions and EMS bills of material without waiting for a common part master, compare buy costs on like-for-like spec, and surface the tiers the combined volume already clears. The synergy case becomes line-level and defensible — supplier by supplier, part by part.

Common questions

What is Spend Optimization?

Spend Optimization is Rivvun’s agentic AI approach to procurement cost reduction. It applies category-specific savings playbooks to connected spend and contract evidence, qualifies the opportunities worth pursuing, converts approved opportunities into owned actions, and verifies the cost savings that reach invoices and the P&L — without double counting.

How does Rivvun identify savings opportunities?

Rivvun reconciles the eligible population, normalizes comparable spend and tests plays such as supplier consolidation, price harmonization, demand aggregation, channel adoption, specification rationalization, terms, sourcing and recovery.

How are opportunities qualified?

Each signal is tested against counter-evidence, addressable spend, confidence, feasibility, time to value, supplier dependency, business impact and implementation risk. Unsupported signals are rejected or routed for remediation.

What happens after an opportunity is approved?

Rivvun creates or connects the required sourcing, negotiation, contract, catalog, price-file, PO, recovery or operational action, then tracks owners, approvals, milestones, dependencies and write-back.

How is Rivvun different from spend analytics tools?

Spend analytics stops at a ranked opportunity list. Rivvun’s AI agents go further: Spend Steward autonomously discovers, qualifies and routes each opportunity into an owned execution case with a baseline, evidence and accountable approvers — and every consequential decision needs human approval: approve, reject, refine, defer or split. The result is a governed savings pipeline, not a chart.

How are realized savings verified?

Rivvun confirms implementation in the agreed system of record and validates subsequent PO, invoice, credit, payment, usage, volume or operational evidence before value moves to Finance Accepted.

How does Rivvun prevent double counting?

Potential, qualified, approved, committed, implemented and finance-accepted value remain separate. Hard savings, recovery, cost avoidance, working capital and productivity are also reported independently.

Start with one category

Find the savings already in your data — then prove what reaches the P&L.

Choose a category, supplier family, business-unit group or geography with enough spend and contract history. Rivvun returns the supplier and commercial graph, a prioritized cost-reduction portfolio and the measurement design required to verify the result.

Start a Spend Optimization scan