96%+ auto-classification
AI-based categorization against a standard taxonomy, with manual override where needed.
Spend Analytics
See every unit of spend. Act on it.
Automated classification, category benchmarks and inflation-adjusted trends turn scattered transaction data into decisions your team can act on this quarter.
Outcomes
From raw transactions to actionable insight.
Maverick spend surfaced
Off-contract and non-preferred-supplier spend flagged automatically, category by category.
Cross-entity visibility
Consolidated view across ERPs, business units and regions in one normalized model.
Inflation-adjusted trends
Category cost trends adjusted for market inflation, so savings are measured accurately.
Capabilities
What does spend analytics give your team?
Automated data ingestion
Connects to ERP and P2P transaction data - no manual spreadsheet consolidation.
Category taxonomy & tagging
A standard, extensible taxonomy applied consistently across business units.
Price variance detection
Flags the same item or service purchased at different prices across suppliers or entities.
Supplier concentration views
Understand single-source risk and consolidation opportunities by category.
Custom dashboards
Role-specific views for CPOs, category managers and finance stakeholders.
Savings tracking
Ties identified opportunities to sourcing events and tracks realized savings over time.
In practice
What this replaces
The traditional answer to spend visibility is a periodic exercise: extract from each ERP, consolidate, classify, and produce a view that is accurate on the day it is built and decaying from the day after. It is a project, it is repeated quarterly, and by the time it is finished the questions that prompted it have moved on.
Classification quality is where these efforts usually fail. Spend that is miscategorised is not merely imprecise; it is invisible to the strategy that depends on it. Consolidation opportunities disappear because the same item sits under three category codes across two entities. This is why spend visibility work routinely surfaces immediate savings before any negotiation takes place. The value is in seeing volume that was always there.
Continuous automated classification against a standard taxonomy, with manual override where the machine is wrong, changes it from a project into a state. Off-contract and non-preferred-supplier spend is flagged as it occurs rather than discovered in a review, and the view spans entities and ERPs rather than one at a time.
Analytics is the input to category strategy, not a substitute for it. A spend view tells you where the money goes; deciding what to do about it is the work described in our guide to classifying categories with the Kraljic Matrix.
Fit
Who uses it, and what it connects to
Who uses it. Category managers looking for consolidation, the CPO deciding where to deploy scarce sourcing capacity, and finance reconciling procurement's view of spend with the ledger's.
What it connects to. Transaction data from one or more ERPs, the supplier master, and contract coverage - so off-contract spend is identifiable rather than inferred. Opportunities flow into cost optimization and, from there, into sourcing events.
What it does not do. Classification is never perfect, and a taxonomy that nobody owns degrades. The override path matters as much as the automation: the value comes from a classification the category owners believe, not from the highest possible auto-match rate.
FAQ
Spend analytics questions we hear often.
How is spend classified automatically?
Transactions are mapped to a standard category taxonomy using AI-based classification trained on supplier, GL and description data, with manual override for edge cases.
Can we see spend across multiple ERPs or business units?
Yes - spend analytics consolidates data across ERPs, entities and regions into one normalized view, so category spend is comparable enterprise-wide.
Does it estimate savings opportunities?
Yes - the platform flags maverick spend, price variance across suppliers for the same item, and inflation-adjusted category trends to surface savings opportunities.
See your spend clearly.
Analytics on your own categories - or estimate your savings with the ROI calculator.