Solution · Opportunity discovery

Find the savings opportunities hidden in your spend data.

Pulse scans your governed procurement data and surfaces consolidation opportunities, purchase price variance, contract leakage, and category tail spend, every finding ranked by estimated value and confidence, so your team knows where to start.

Supplier consolidationHigh confidence

Office Supplies | UNSPSC 44.10

420,000 / yr est.
3 supplier codes: Staples NL · Staples Netherlands · OfficeCentre B.V.
Same product range, same delivery region, 3 separate codes
Suggested: consolidate to preferred supplier initiate sourcing event
The problem

The savings are there. The problem is finding them systematically.

Every procurement organization has savings opportunities in its data. The challenge is that finding them manually is slow, inconsistent, and limited to whatever a single analyst can focus on at one time.

Pulse makes this systematic. It scans your entire governed spend data set against eight opportunity categories, simultaneously, continuously, and at a scale no manual analysis can match. Every finding includes the evidence, the estimated impact, and a confidence score.

What Pulse finds

Eight categories of savings opportunity.

Supplier consolidation

Multiple suppliers serving the same need across the org consolidating improves pricing and reduces cost to serve.

Purchase price variance

Prices paid that deviate from contracted or expected rates at the line level, not just the category summary.

Contract leakage

Spend that should be covered by a contract but isn't wrong supplier, unreferenced contract, unenforced terms.

Off-contract spend

Maverick and off-catalogue purchasing patterns, and the categories where off-contract spend is highest.

Invoice anomalies

Duplicate invoices, overcharges, missing-PO invoices, and unusual billing patterns that signal error or risk.

Category tail spend

Many small transactions across many suppliers that could be consolidated or managed 20–30% of volume.

Payment terms

Inconsistent terms, early-payment patterns that could fund SCF programs, or terms shorter than policy.

Category insights

Cross-category and cross-supplier intelligence: benchmarks, spend trends, and concentration signals.

Prioritization

Not all opportunities are equal Pulse tells you which to tackle first.

Pulse scores every finding on two dimensions: estimated business value, based on spend volume, price differential, and category benchmarks, and confidence, based on data quality, signal strength, and evidence completeness.

The output is a ranked opportunity list: high value, high confidence first. Your category managers start with the best opportunities, not the easiest ones to find.

Ranked opportunities
01
Corrugated packaging PPV
€1.1M / yr · 6 plants
High
02
Office supplies consolidation
€420K / yr · 3 suppliers
High
03
Logistics tail spend
€280K / yr · 40+ suppliers
Medium
From insight to impact

Pulse doesn't just find it helps you act.

1
Surface

Opportunity found

Surfaced with evidence and an impact estimate, ranked by value and confidence.

2
Review

Accept or reject

The category manager reviews the finding and accepts or rejects it.

3
Assign

Into an initiative

Accepted opportunities are assigned to a savings initiative with an owner.

4
Track

Realized savings

Tracked through to realized savings in the CPO dashboard.

  • Consolidation opportunities identified across 8 categories
  • 20+ markets analyzed in one coherent spend view
Read the SPAR story
  • PPV analysis enabled the first cross-regional pricing comparison
  • Clean classified spend delivered within weeks, not quarters
Read the Lamb Weston story
FAQ

Opportunity discovery questions, answered.

Pulse estimates savings using your spend data, contracted rates where available, historical price benchmarks, and market reference data. Every estimate carries a confidence score and discloses the methodology used. We don't produce a single number without explaining how we arrived at it.
Pulse is designed to run on Atlas's governed data layer. Opportunity quality depends directly on data quality. Running Pulse on raw, unclassified data will produce lower-quality findings with higher false positive rates.
Pulse runs on your data refresh cadence. As Atlas updates the governed data layer with new spend and supplier data, Pulse re-evaluates the opportunity set and updates its rankings.

See the savings ranked in your own data.

Bring a sample of your spend, and we'll show you the opportunities Pulse surfaces, each with the evidence and impact estimate behind it.