Webinar recording: Category Benchmarks - Where is your greatest purchasing potential?

In many procurement organizations, identifying cost-saving potential often remains incomplete due to a lack of data transparency and fragmented supplier structures. Manually analyzing large volumes of data to uncover benchmarks or bundling opportunities is time-consuming and rarely feasible on a comprehensive scale during day-to-day operations.

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In this webinar, Fabian Liebscher, an expert in Procurement Excellence at Tacto, explains how companies can systematically leverage their procurement data. Using practical use cases, he demonstrates how data-driven analysis strengthens the basis for negotiations and optimizes supplier structures.

Initial Situation

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Industrial companies often face the challenge of historically grown supplier portfolios becoming opaque in key areas. At the same time, data silos within corporate groups hinder the realization of synergies, leaving potential for volume bundling untapped. Furthermore, a lack of market transparency often means that prices from existing suppliers no longer reflect current competitive levels.

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Geographic Benchmarking for Stronger Negotiations

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By comparing local supplier locations with global industry clusters, realistic target prices can be defined for negotiations.

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• Case Study: The company Sun Garden identified uncompetitive prices in the fabrics category. By establishing target prices based on global benchmarks, they were able to strengthen their position in negotiations.
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• Function: Systematic analysis of commodity groups by comparing them with globally recognized clusters, such as textiles in Vietnam.
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• Impact: Procurement organizations gain a well-founded basis for discussions with existing suppliers and achieve savings of 10% to 15%.

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Supplier consolidation in growth areas

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In highly fragmented product categories, the number of suppliers is reduced by identifying item substitutions.

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• Case study: At Technotrans, rapid growth in the electronics sector led to a fragmented supplier portfolio. An AI agent identified consolidation potential by swapping similar items.
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• Function: Algorithms scan the portfolio for redundancies and highlight opportunities to consolidate product groups with high-performing suppliers.
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• Impact: Reducing the portfolio by 10% lowers administrative overhead and consolidates purchasing volume.

Fabian Liebscher presents three key levers for unlocking purchasing potential: geographical benchmarking to validate existing prices, systematic supplier consolidation to reduce complexity, and group-wide volume bundling for C-parts. This is based on an automated analysis of existing ERP data without requiring significant IT effort.