Digitálně podporované vyhodnocování RFQ v nepřímém nákupu: návrh a omezené ověření To-Be konceptu v anonymizované technologické společnosti

This master’s thesis examines digitally supported RFQ evaluation in indirect procurement within an anonymized multinational technology company. The aim of the thesis is to analyse the current RFQ process, identify its main process-related, data-related, and decision-making weaknesses, and propose a To-Be concept for more standardized, transparent, and auditable supplier bid evaluation. The thesis is designed as an applied single-case study with a design-oriented and limited evaluative component. It draws on literature on procurement digitalization, supplier selection, the total-cost approach, decision support, AI, and the governance of digitally supported decision-making. The analysis showed that the main weaknesses of the current RFQ process lie primarily in the variable quality of input requirements, inconsistent supplier bid structures, manual consolidation, and limited documentation of the decision logic. The proposed To-Be concept addresses these weaknesses by connecting RFQ input standardization, a total-cost evaluation framework, a more structured basis for decision-making, assistive analytical support, and human oversight. The limited Proof of Concept verification conducted on five anonymized RFQ cases indicated improvements particularly in the completeness of total-cost inputs, the comparability of supplier bids, reduced manual consolidation, and the auditability of decision-making documentation. The findings are interpreted as context-specific and indicative; the thesis does not prove the isolated effect of AI or the general effectiveness of digitalization in the RFQ process.