The automotive industry is playing a crucial role in global economy. But it is also contributing largely to environmental challenges we are facing today. This industry is facing a growing pressure to adopt sustainable practices. Selecting a sustainable supplier to meet the sustainability goals is a very critical decision which directly affects company’s performance, long term competitiveness and operational efficiency. In this paper, a widely used Multi-Criteria Decision Making (MCDM) technique, Analytic Hierarchy Process (AHP) is applied to evaluate and select sustainable suppliers in the automotive sector. Five criteria are used to assess three supplier alternatives and the results are evaluated. Besides this, the paper discusses and compares other MCDM methods , such as TOPSIS, VIKOR, Fuzzy AHP and DEA. Findings indicate that AHP is showing better result in transparency and consistency for expert-driven decisions. TOPSIS and VIKOR is exceling in ranking large datasets and can balance trade-offs well. Fuzzy AHP can capture uncertainty in human judgement where DEA can benchmark efficiency using quantitative data. This findings can contribute to both academia and industry to structure a framework for sustainable supplier selection by using appropriate MCDM techniques. MCDM by using hybrid AI integration is recently being followed.