Spend Intelligence
Uperix Spend Intelligence is AI-native spend analytics for multi-ERP, multi-entity environments. Seven days to a spend baseline your CFO can trust. Six weeks to validated savings. 99% categorization accuracy across every dollar, while most procurement teams are still cleaning data before they can ask a single strategic question.
$4.3B
classified in 48 hours
monthly refreshes in 1-3 days
99%
category accuracy
vs 24% industry benchmark
>20X
annual ROI
every client, every year
7 days
to trusted baseline
competitors quote 8-12 weeks
The Stakes
Before any category strategy or savings analysis, the integrity of the data itself determines what is possible.
Visibility
When the same item is described eight different ways across buyers and systems, procurement sees eight small purchases instead of one bulk buy. True volume disappears into the noise, and with it, the leverage to price-test.
Evidence
8 variants of a Coca-Cola 24-pack resolved to 1 item. 7 ways of writing “Dell Latitude 5520” collapsed to a single SKU.
Leverage
The same supplier appears as multiple legal entities, with many regional spellings and system IDs. Each account looks small. Combined, they represent material bargaining power the business is not exercising in negotiations.
Evidence
Isolated $50K-$100K accounts consolidated into a single $20M supplier relationship.
Credibility
Inconsistent categories and bad transaction quantities break the unit-cost benchmarks underneath every savings story. The first challenge from finance or audit collapses the narrative.
Evidence
Lunch vouchers split across Operating Expenses and Cost of Sales. Same spend, two different category reports, three ways to calculate unit cost.
The Impact
Representative client engagement: 1.5M+ transactions processed across 8 source files.
84%
Fewer SKUs
82,503 → 13,223
Record linkage consolidates item variants
75%
Fewer L1 categories
20 → 5
Taxonomy standardized across entities
22%
Fewer vendors
1,019 → 791
Supplier entities resolved globally
168
Transactions repaired
42K reviewed
Bad quantities fixed and persisted
The Compound Effect
“Isolated $50K-$100K accounts consolidated into a single $20M supplier relationship, transforming the negotiating position overnight.”
The Approach
Each workstream addresses a distinct failure mode in raw procurement data. Together they produce a spend cube that survives executive scrutiny.
The problem
The same item is written 8 different ways across buyers and systems.
The outcome
True volume visibility. You see the bulk buy, not eight separate purchases.
The problem
The same spend categorized inconsistently across entities and years.
The outcome
Category reports the board can trust, and a strategy grounded in reality.
The problem
One supplier appears as a dozen legal entities, regional spellings, and IDs.
The outcome
True wallet share per supplier. The leverage to negotiate as one customer.
The problem
Quantity errors (e.g. 12-month rentals logged as a single unit) distort unit costs.
The outcome
Defensible benchmarks, and fixes that persist through every future data refresh.
Interactive spend cubes across every dimension. The Purchase Performance Index gives procurement a single health metric, tracking negotiations, inflation, savings, and leakage month over month.
Dynamic market builds combine raw materials, labor, energy, freight, and profit into a true should-cost for every key category. Negotiation positions shift from price acceptance to data-backed cost control.
Savings tracked to realization at the transaction level. Leakage detection surfaces when negotiated prices are not being honored. Finance and procurement share an auditable view of actual margin improvement.
How It Works
Competitors quote eight to twelve weeks for onboarding alone. Uperix delivers a trusted spend baseline in seven days and actionable findings by week six.
Week 1
Raw data transformed into a structured, normalized, analysis-ready foundation.
Week 2
First-pass categorization reviewed. 99%+ data cleansing and harmonization verified.
Week 3
Interactive dashboards deployed. Procurement team trained on interpreting views.
Weeks 4-6
Savings opportunities quantified. Cost builds at SKU level. Implementation begins.
Ongoing
Savings tracked to realization. Leakage detected. Monthly performance reviews.
Results
Industrial Manufacturer-Distributor: 7 Acquisitions, 14 ERPs
A North American manufacturer-distributor built through 25 years of acquisition was operating across 14 ERP systems with decentralized procurement. Uperix unified 133,000 SKUs and 3,332 vendors from all 14 systems into a single view, delivering over $400K in tracked savings in the first six weeks from quick-hitter avoidances alone.
$44.9M
savings identified
386K
transactions cleansed
14 → 1
systems unified
6 weeks
to ROI
$1.5B Tool Manufacturer: Packaging Category
A global hand and power tool manufacturer needed clarity on a $193M packaging category spread across 5,700 SKUs, 100 suppliers, and 31 locations. Uperix delivered spend analytics in week one, detailed SKU-level cost builds by week four, and a live dashboard by week five. Savings implementation began in week six.
$17M
savings identified
8.8%
of category spend
5,700
SKUs made visible
5 weeks
to dashboard live
The Proof
Speed
7 days
Trusted spend baseline, start to finish.
$4.3B classified in 48 hours. Monthly refreshes in 1-3 days.
Industry competitor lead time: 8-12 weeks.
Accuracy
99%
Financial-grade data quality across 100% of spend.
99% accuracy in ~1 month. Incumbent achieved 24% after 4 years.
Outputs that survive audit, finance review, and board-level scrutiny.
Why It Holds Up
Speed does not degrade as data volume grows. Every classification is explainable and analyst-reviewed, so the outputs stand up in front of finance, audit, and the board.
FAQ
99% category accuracy across 100% of spend, verified against audit. The incumbent benchmark we replaced reached 24% after four years.
A trusted spend baseline in 7 days. Validated savings by week six. Industry competitors quote 8 to 12 weeks for onboarding alone.
No. Client data never leaves client infrastructure and is never used to improve models for other clients.
Every category strategy, every savings claim, every negotiation position rests on the quality of the data beneath it.
For the CFO
Savings claims that survive audit and hold up in the boardroom.
For the CPO
Negotiating leverage you can actually exercise, on day one.
For the CEO
A category strategy grounded in what is really being bought.
