Industry
Insights

An AI can write an RFQ in seconds, and that was never the hard part. A good sourcing document needs a data foundation that connects what a company buys with how the part is designed, manufactured and costed. Why RfX generation is the practical test of whether procurement data is ready for agents.

Suppliers price baskets, not parts. A single-part benchmark cannot tell you whether a supplier is competitive, because selective pricing only becomes visible line by line. Why a supplier test needs a representative basket and a technical cost baseline before the quote comes back.

Sourcing decisions age. Freight, energy, working capital, export controls and qualification times have all moved since the award was made. Why procurement should recalculate historical supplier decisions at part level before a disruption forces the issue.

Manual number crunching is losing value. AI accelerates the fact base, but industrial decisions still require technical credibility. Why the future of consulting is auditable, technical and result-driven, and where COVALYZE fits.

In aerospace and defense, annual volumes per part can be a handful of units while requirements stay highly specific. By analyzing 180 diverse GFRP, plastic and steel parts at part level, COVALYZE found ~20% savings potential and uncovered a likely PLM weight-data issue. Averages fail where part-level cost logic holds up.

Catalog parts, standard parts and C-parts are often considered optimized. But ERP integration and reliable delivery do not guarantee price intelligence, and the hidden savings potential in standard parts is larger than most Mittelstand companies expect.

Procurement systems show what was paid. COVALYZE shows what a part should cost. Why aerospace procurement is a cost-transparency challenge, not just a sourcing one.

The relationship between OEMs and suppliers has permanently changed. Suppliers that cannot quantify their costs at OEM level are no longer negotiating, they are accepting terms.