Procurement analytics and reporting
Knowing where spend is going, how long sourcing and purchasing take, and whether supplier performance is actually improving — without rebuilding a spreadsheet every month to find out.
Illustrative — reported from sourcing and auction activity
Why procurement analytics matters
Procurement generates a lot of decisions — who to source from, what to pay, how fast to move — and most of those decisions are only as good as the visibility behind them. When sourcing, vendor management, and purchasing activity all happen in one connected system, reporting on it stops being a separate, manual exercise and starts reflecting what actually happened, as it happened.
- Raw materials0%
- Logistics0%
- Packaging0%
- Services0%
Illustrative — reported live from sourcing and purchasing activity
KPIs procurement teams typically track
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Spend under management
How much of total organizational spend actually flows through a controlled procurement process, versus outside it.
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Cycle time
How long it takes to go from a sourcing need to an awarded supplier, or from a requisition to an approved purchase order.
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Supplier performance
Delivery reliability, quality, and responsiveness for the suppliers a team actually buys from — tracked over time, not just at onboarding.
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Savings realized
The difference between the first price offered and the price actually paid, tracked at the sourcing-event level rather than estimated after the fact.
Example values shown for illustration — book a demo to see live figures for your own data.
Five dashboards, reporting on what actually happened
Because sourcing, RFQs, reverse auctions, vendor management, and purchasing activity all happen inside one platform, Krayuv reports on it directly, instead of exporting and rebuilding the picture elsewhere.
Spend
Where spend is actually going, by category, department, and supplier.
Vendor performance
Scorecard data rolled up across the supplier base, not just per-supplier.
Savings
Savings realized at the sourcing-event level — RFQs and auctions both feed this.
Compliance
Where onboarding, qualification, or documentation is falling behind.
Auction performance
How competitive each auction format is actually running — bid counts, spread, time-to-award.
Cash-flow forecasting, not just historical reporting
Alongside the historical dashboards, Krayuv uses AI to help forecast cash flow from scheduled payments and open commitments — so finance isn't only looking backward at what's already happened. An admin dashboard surfaces live KPIs across the organization, and every dashboard exports to Excel for further analysis or board reporting.
See where this data comes from: RFQ software · Vendor management · Procure-to-Pay
Illustrative — based on scheduled payments and open commitments
Frequently asked questions
What KPIs does procurement analytics typically track?
Common ones include spend under management, cycle time (how long sourcing and purchasing take), supplier performance (delivery, quality, responsiveness), and savings realized through sourcing and negotiation. Which ones matter most depends on what a team is trying to improve — cost, speed, risk, or supplier quality.
What's the difference between self-built, point-solution, and suite-embedded procurement analytics?
Self-built usually means exporting data into spreadsheets or a BI tool and building reports manually — flexible but labor-intensive and often stale. A point-solution is a dedicated analytics tool layered on top of existing procurement systems. Suite-embedded analytics live inside the procurement platform itself, reporting directly on activity as it happens, without a separate export-and-rebuild step.
Do I need procurement analytics if my team is small?
Even a small team benefits from knowing where spend is going and whether sourcing decisions are actually saving money — the value isn't proportional to team size. What usually scales with size is how much manual effort it takes to get that visibility without a system built to report on it directly.
Does Krayuv forecast cash flow, or just report on the past?
Both. The five dashboards report on what's already happened — spend, vendor performance, savings, compliance, and auction performance — and Krayuv separately uses AI to help forecast cash flow based on scheduled payments and open commitments, so finance can plan ahead rather than only reviewing after the fact.
See what Krayuv reports on today
Book a short call and we'll show you the reporting that's live, against the KPIs that matter to your team.