Normalize spend
Invoices, POs, and catalogs are classified to categories and suppliers—even when naming is messy.
/ Betrieb und Automatisierung /
KI, die Ausgaben analysiert, Lieferanten bewertet und Einsparmöglichkeiten aufdeckt – so verhandeln Beschaffungsteams auf der Grundlage von Erkenntnissen und nicht aus Instinkt.
The problem
Purchase orders, invoices and contracts live in different systems. A clear picture of total spend by category, supplier or business unit requires manual consolidation.
Sourcing decisions depend on who you know and past experience. Systematic, data-driven supplier comparison doesn't happen consistently.
By the time procurement analyses contracts and spend patterns, the renewal window has passed or the budget is already committed.
Spend analytics miss maverick buying and contract leakage. Savings targets miss reality because the picture is incomplete.
So funktioniert es
Invoices, POs, and catalogs are classified to categories and suppliers—even when naming is messy.
Maverick buying, duplicate vendors, and contract drift are highlighted with savings estimates.
RFP drafts, comparison matrices, and risk flags accelerate cycles without bypassing procurement policy.
Integrations to P2P and supplier portals keep buyers in systems they already use.
Leistungsumfang
A governed layer across data, workflows, and handoffs—so teams ship safely and scale with metrics.
Aggregates spend data across systems and classifies by category, supplier and business unit automatically.
Identifies consolidation opportunities, maverick spend and contract optimisation potential.
Tracks delivery, quality and compliance metrics per supplier continuously.
Compares your prices against market references to identify negotiation leverage.
Flags upcoming renewals with performance data and savings analysis attached.
Automates purchase order creation, approval routing and supplier communication for standard transactions.
Unterstützt von Thinkia Synapse
Ergebnisse
Results vary by spend volume, system landscape and category complexity.
100%
vs. partial view from manual consolidation
8–15%
Of addressable spend, based on typical category analysis
–60%
Reduction in time to prepare for supplier negotiations
So arbeiten wir
Week 1–2
Categories, suppliers, and contract coverage are baselined; quick wins vs strategic bets are chosen.
Week 3–5
RFx assistance, should-cost models, and risk flags connect to your P2P and S2P tools.
Week 6–9
Buyers run real events with AI support; savings, cycle time, and compliance are measured.
Week 10+
Playbooks and templates propagate; supplier onboarding and ESG checks follow the same rails.
Data quality across ERP and p-cards varies; integration depth sets the critical path.
Loslegen
We start with a focused session—no commitment—to map constraints and a sensible path.