Cost increases, volatile markets, and new regulatory requirements are intensifying pressure on procurement organizations. At the same time, many savings potentials remain untapped – not because they don't exist, but because they remain hidden in ERP data. In the webinar "Practical Examples of Hidden Savings Potential in ERP Data – From Analysis to Savings," Florian Liebscher and Florian Findeis (Tacto) show how AI-powered analyses create transparency, reveal anomalies, and generate concrete action options. Using real customer projects, it becomes clear how measurable savings can be derived from everyday orders and commodity groups – from long-term volume contracts to supplier consolidation to intra-commodity group analysis.

Identifying and Leveraging Hidden Savings Potential in ERP Data

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ERP systems contain a wealth of information about prices, volumes, suppliers, and processes. In practice, however, many opportunities remain untapped because the data is not analyzed in a structured way. In the webinar "Practical Examples of Hidden Savings Potential in ERP Data – From Analysis to Savings," Florian Liebscher and Florian Findeis (Tacto) explained how AI-powered analyses create transparency and reveal savings potentials.

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Starting Point – Why So Many Opportunities Go Unused

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• ERP systems store enormous amounts of data on prices, volumes, suppliers, and processes.
• Without specialized analysis, anomalies and patterns remain hidden.
• Price deviations, duplicate orders, or inefficient supplier structures often go undetected – savings potentials remain untapped.
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Especially in the 2025 market environment, characterized by rising costs and regulatory pressure, these potentials are a decisive lever for competitiveness and margin protection.

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The Approach – From Analysis to Savings

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The key lies in not just collecting ERP data, but systematically analyzing it. AI-powered analyses transform raw data into decision-making foundations:

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• Automated transparency: Data is structured and prepared for comparison.
• Signal detection: Price differences, alternative suppliers, or volume bundling opportunities emerge immediately.
• Practice-oriented analyses: Instead of abstract concepts, customer projects show how potentials can be quickly and concretely revealed – from standard articles to more complex commodity groups.
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Practical Examples – Tangible Results
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1. Long-term volume contracts
   • Starting point: Order volume increase from 1,500 kg to 10,750 kg over three years, accompanied by a 90% price increase.
   • Analysis: Tacto identified the price increase and recommended long-term volume contracts.
   • Result: Price reduction of 20% – realized savings of approx. €10,952 per year.
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2. Supplier consolidation
   • Starting point: Article was sourced from four suppliers, with price differences of up to 430%.
   • Analysis: Recommendation to consolidate sourcing to the two most affordable suppliers.
   • Result: Savings potential of approx. €12,630 per year (approx. 12% of total volume).
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3. Intra-commodity group analysis
   • Starting point: Significant price differences for very similar articles within a commodity group.
   • Analysis: Proposal to consolidate to a more affordable supplier.
   • Result: Savings potential of approx. €8,750 per year (around 15%).

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These examples illustrate: Hidden opportunities often lie in everyday articles or processes – and can be quickly revealed with the right analysis.

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Key Insights for Procurement

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1. ERP data harbors more opportunities than are visible at first glance.
2. AI makes complex information transparent and manageable.
3. Proof of value approaches demonstrate potentials quickly and comprehensibly.
4. Data-driven transparency forms the foundation for strategic and operational improvements.
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Conclusion

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Many companies are sitting on a data treasure they have not been able to fully leverage until now. The webinar showed: With AI, hidden potentials can be reliably uncovered – and translated into concrete savings. This turns unwieldy ERP data into a valuable steering instrument for procurement that creates transparency, reduces risks, and strengthens competitive advantages.

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Florian Liebscher and Florian Findeis (Tacto) show how procurement organizations can uncover hidden potentials in their ERP data and translate them into concrete savings. Practical examples – from volume bundling to supplier consolidation – illustrate how AI creates transparency and supports procurement teams in making well-founded decisions and securing sustainable cost advantages.