Every procurement signal.
One intelligence layer.
Spend, supplier risk, contract performance, quality KPIs, component lifecycle risk, and AI agent activity — all surfaced automatically, all connected to action.
Most procurement teams are flying blind.
Spend data lives in ERP. Risk signals live in email. Quality KPIs live in spreadsheets. Contract status lives in a shared drive. Nobody has a complete picture — until there's a problem.
Eight intelligence dashboards. All live.
No more switching between systems. Every procurement metric lives in one connected intelligence layer — automatically updated, always actionable.
Spend Intelligence
AI-powered spend categorisation across every purchase order and invoice. Proconomy classifies spend by supplier, commodity category, business unit, plant, and cost centre — automatically. No manual tagging.
Supplier Risk Dashboard
Live risk scores across your entire supply base — combining delivery performance, SCAR rate, financial health indicators, geopolitical exposure, and quality scorecard into a single composite risk index.
Contract Performance
Track contract utilisation, obligation fulfilment, price escalation impact, and renewal pipeline. Never lose value to a lapsed contract, missed obligation, or untracked price escalation again.
Supplier Quality Analytics
PPAP approval rates, SCAR cycle times, SPC Ppk trends, APQP gate pass rates, and IMDS compliance — all consolidated into the SQM intelligence dashboard for the quality director.
Procurement Operations
PO cycle times, invoice match rates, approval bottlenecks, budget vs. actual tracking, and goods receipt performance. Identify exactly where your process leaks time and money.
Component Lifecycle Risk
Live EOL and NRND risk across your entire component portfolio. BOM-level risk scoring shows which assemblies are exposed to lifecycle risk — with alternate component recommendations surfaced automatically.
AI Agent Activity
Full audit trail of every autonomous action taken by the NOVA agent layer — what triggered the action, what the agent decided, what was auto-executed vs. escalated to a human. Complete AI accountability.
Commodity Exposure
Real-time commodity price exposure across your purchasing portfolio. See the financial impact of aluminium, steel, copper, and resin price movements on open POs — and act before escalation clauses trigger.
Built for enterprise and multi-entity organisations
Group holding companies and multi-subsidiary enterprises get consolidated analytics across every entity — with entity-level drill-down and BI export.
Group vs. Entity View
Switch between consolidated group-level analytics and drill down to individual subsidiary performance. CPOs get the portfolio view; entity managers get their own lens.
Cross-Entity Benchmarking
Compare procurement performance across subsidiaries — spend per category, invoice match rates, supplier quality scores — to identify best practices and underperformers.
BI REST API
Push any Proconomy dataset into your corporate BI tool — Power BI, Tableau, Looker, or any REST consumer. Pre-built report templates included for common procurement KPIs.
Scheduled Reports
Configure automated weekly and monthly reports to email stakeholders. Spend summaries for Finance, risk dashboards for CPOs, quality KPIs for Quality Directors — scheduled and delivered.
From raw data to boardroom-ready insight
Connect your data
Plug in SAP, Oracle, Dynamics, or any ERP via pre-built connectors. Proconomy ingests PO data, invoices, contracts, GRs, supplier records, and quality data automatically.
AI surfaces insights
The NOVA agent layer continuously monitors your data, detects anomalies, flags risks, computes performance scores, and identifies opportunities — without anyone building a report.
Act, not just analyse
Every insight comes with a recommended action. Approve it, delegate it, or let the AI agent execute it — closing the loop from insight to outcome automatically.
Stop managing data. Start making decisions.
See how Proconomy Analytics connects to your existing systems and delivers spend intelligence, risk alerts, and quality KPIs — on day one.