Many purchasing organizations know that their data holds significantly more potential than they can utilize in their day-to-day business. Manual data searches, scattered information sources, and a lack of comparability make systematic analyses difficult and often result in savings opportunities going undiscovered.

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In the webinar "No more hidden costs – How Sun Garden achieved hidden savings in no time with AI," Katharina Kösters (Purchasing Manager, Sun Garden) and Lucas Trümpler (Customer Development, Tacto) show how the furniture manufacturer created transparency and was able to achieve the first noticeable optimizations within a few weeks.

Initial situation – Why potential savings remained hidden for so long

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Sun Garden operates four factories in Europe, numerous Categories a large supplier base. The initial situation was characterized by:

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• scattered data across ERP exports, Excel files, and emails
• lack of comparability between works
• high level of manual research work
• historical price trends that were difficult to reconstruct
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This meant it remained unclear where price deviations, alternative suppliers, or volume effects offered concrete savings opportunities. There was no central view of all relevant purchasing developments, nor was there a uniform information base.

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Three levers that have strengthened Procurement Sun Garden

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1. Transparency through analytics

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The introduction of centralized analytics provided a clear view of Categories, suppliers, and items for the first time. Prices, quantities, and performance can now be tracked immediately. For Procurement , this Procurement early detection of outliers, informed comparisons between plants, and a common data basis for all buyers.

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2. Proactive notifications from AI agents

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AI-supported alerts continuously analyze purchasing data and identify anomalies, backed up by real-life examples. These alerts provide concrete starting points for action and reveal potential that is easily overlooked in everyday business.

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3. Greater assertiveness with negotiation dossiers

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All important data points such as price and volume trends, benchmarks, indices, and notes are immediately available for supplier meetings. This facilitates preparation and ensures that discussions can be conducted in a clearly data-driven manner.

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Clearly documented results also ensure traceability across multiple plants.

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Practical examples – Visible effects in a short time

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In the webinar, Sun Garden shows specifically how the new data situation led directly to measures, including:
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• Switch to cheaper suppliers with identical specifications
• Quantity bundling for items with high price volatility
• Identification of work-related price differences through central transparency

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Conclusion – From scattered information to clear ways to save money
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The Sun Garden case illustrates how quickly purchasing organizations can work more effectively when transparency, information, and structured preparation come together. Processes become simpler, potential becomes more visible, and negotiations become more informed.

In this webinar, Katharina Kösters and Lucas Trümpler show how Sun Garden quickly Procurement from fragmented data to data-driven Procurement and why the combined use of analytics, AI insights, and negotiation dossiers is an effective lever for measurable savings.

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