Making spend data decision-ready
A working session on turning messy, multi-ERP transaction data into prescriptive recommendations, with a live walkthrough for procurement teams.
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Software that turns spend, cost and supplier data into recommendations procurement can act on: where the money goes, what you should be paying, and which move to make next. This is the category, the panel's view of it, and the 136 providers who serve it.
The category is moving past dashboards that explain last quarter. The platforms that stand out put a recommendation in front of the buyer at the moment a decision is made, and show the data behind it.
ProcureTech100 Panel Judge
Sievo co-founder Sammeli Sammalkorpi joins Kelly Barner and Philip Ideson to share what $1.4 trillion of real enterprise spend data reveals about procurement performance.
Watch →Art of Procurement tracks 136 providers in this category as part of the ProcureTech100 analysis, including:
The right tool depends less on a feature checklist than on how your data, team and roadmap actually look. Start with these four questions, then use the directory and the profiles to narrow the field.
Recommendations or reports?
Most tools in this category still stop at reporting. Ask each one to show a recommendation it made, the data behind it, and what the buyer did next.
How messy is your spend data?
If your data spans many ERPs and entities, classification and enrichment come first. Ask what share of spend each can classify without manual cleanup, because every recommendation downstream depends on it.
Which decisions matter most?
Finding savings, managing software renewals, benchmarking prices and should-cost are different jobs. Pick the two or three decisions you most need to improve and shortlist tools that do those well.
What happens after the insight?
A finding that stays in a dashboard rarely moves numbers. Ask how each turns a recommendation into an action, through intake, sourcing or workflow, and how it tracks whether the saving landed.
What the category looks like now, and the buyer toolkit to run your own evaluation.
What it is
Software that turns spend, cost and supplier data into recommendations: where to save, what to pay, and which contracts and renewals to act on. It spans spend analytics platforms, software spend management and cost and price intelligence tools.
The shape of the market
Where attention is moving
Away from after-the-fact reporting toward recommendations at the point of decision, and toward AI agents that act on them with a person signing off. Sample
The research, explainers and conversations behind the category.
A working session on turning messy, multi-ERP transaction data into prescriptive recommendations, with a live walkthrough for procurement teams.
Watch the session →The analytics foundation decision intelligence builds on.
Read →Where AI recommendations are real, and where they are not.
Read →A structured requirements template to adapt for your evaluation.
Get the template →Pulled from Art of Procurement episodes and webinars about this category. Sourced from our own transcripts, not provider self-assertion, and each links back to where it was said.
Capability
You have all this data where you don't know what is what in different locations. That was a great project to have solved by AI in just a few minutes.
Category shift
Procurement tools traditionally look into history. It's always analyzing and looking backwards. We need to move forward.
Practitioner
When I would reference the data, it just really meant whatever I could get my hands on.
What to probe
Data governance is not about fixing bad data. It's about how you consider all aspects of your contract data, your spend data, supplier risk data.
Decision intelligence software turns an organization's spend, cost and supplier data into recommendations procurement can act on. It starts with spend analytics, collecting, cleaning and classifying purchasing data, then adds benchmarks, should-cost and price data, and increasingly AI, to suggest what to buy, from whom and at what price. Art of Procurement tracks 136 providers in this category, from spend analytics platforms to software spend and cost intelligence tools.
Spend analytics is the reporting layer: it classifies transactions and shows where spend sits. Decision intelligence builds on it, adding enrichment, benchmarks and recommendations that point to a specific action. Analytics answers what happened; decision intelligence answers what to do next.
The provider set is drawn from the ProcureTech100 category map and grouped by solution taxonomy, not paid placement. Every provider that fits the category appears. Sponsored placements, like the featured partner above, are labeled and kept separate from the neutral list and the directory ranking.
Add providers to a shortlist as you research this category, compare them side by side, and share with your team. Free with an account.