AI strategy
AI in procurement: ideas that pay off.
Artificial intelligence is changing how procurement works – from demand forecasting to invoice matching. We help you find the right use cases and bring them safely into your SAP and SRM landscape.
Our principles
Data before algorithms
AI is only as good as the master data and processes behind it. We start where the value is created.
People decide
AI prepares, prioritises and suggests. Decisions that matter stay with your buyers.
Start small, scale measurably
A pilot with a clear KPI beats any slide-deck strategy. What works gets rolled out.
Use cases along the procurement process
Choose a stage to see matching AI use cases.
Demand forecasting
Machine-learning models predict demand from consumption, production and seasonal data – built directly on your S/4HANA data.
Value: Fewer rush orders, lower stock, better bundling.
Mid-termConversational guided buying
Employees describe what they need in their own words; an assistant finds the right catalogue item, material group or process.
Value: Higher catalogue compliance, less maverick buying, faster requisitions.
Quick winAutomated spend classification
AI maps orders and invoices to your category taxonomy reliably – even with free text and inconsistent master data.
Value: Transparent spend as the basis for every sourcing strategy.
Quick winSupplier risk radar
Continuous analysis of news, financial data, delivery performance and ESG signals, with early warnings for critical suppliers.
Value: See risks earlier – and meet supply-chain due-diligence requirements more easily.
Mid-termRFx drafting and bid comparison
Generative AI drafts specifications and requests and compares incoming bids in a structured way – across different formats.
Value: Shorter sourcing cycles, more time for negotiation and strategy.
Quick winContract analysis
AI reads contracts, extracts terms, price-adjustment clauses, liability and obligations, and flags deviations from your standards.
Value: No missed notice periods, faster reviews, less risk.
Quick winAI-assisted tail-spend negotiation
For many small suppliers, an agent runs structured negotiations within clearly defined limits – a person signs off.
Value: Savings where nobody had time to negotiate before.
StrategicTouchless purchase orders
Standard requisitions are checked automatically, matched to the right supplier or contract and ordered; only exceptions reach a buyer.
Value: Far fewer manual orders per buyer.
Mid-termReading order confirmations
AI reads order confirmations from emails and PDFs, checks prices, quantities and dates against the PO, and reports deviations.
Value: Delivery-date risks visible at once, no manual retyping.
Quick winInvoice matching with an exception assistant
Capture, three-way match and resolving differences: AI suggests the likely cause and the right fix.
Value: Shorter cycle times, more early-payment discounts, fewer queries.
Quick winDuplicate payments and anomalies
Pattern recognition finds duplicate invoices, unusual prices and suspicious bank-detail changes before payment.
Value: Money stays in the company, compliance becomes measurable.
Mid-termMaster data quality
AI detects duplicate suppliers, harmonises material descriptions and fills missing classifications – the foundation for every other AI use case.
Value: Clean data for S/4HANA, SRM and analytics.
Quick winProcurement copilot for leaders
Ask your procurement data questions in plain language: “Where did our prices rise last quarter?” – with a traceable source.
Value: Decisions based on current figures instead of manual reports.
Strategic
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From idea to impact
Ambition and use-case portfolio
We collect ideas, assess them for value, feasibility and data readiness, and prioritise together the use cases with the best effort-to-impact ratio.
Check the data and system base
We analyse master data, processes and your SAP S/4HANA and SRM landscape – and clarify which standard features already include AI and where custom solutions make sense.
Pilot with measurable value
A clearly scoped pilot in a few weeks, with a KPI defined up front – such as cycle time, classification rate or savings.
Scale and safeguard
Rollout across the organisation with governance, training and change support – with data protection, IT security and the EU AI Act in mind.
AI readiness check for procurement
Six questions, two minutes: where does your procurement stand on AI? You can discuss the result with us straight away.
Ready to transform your procurement?
In a first call we look at your starting point, your goals and sensible next steps – concrete and without obligation.