This article proposes an integrated methodology for the optimal management of distribution transformers (DTs) considering their geospatial location and multi-criteria optimization. The first stage groups the DTs according to their geographical proximity in order to reduce travel times for the personnel responsible for replacing these assets, using clustering techniques. Subsequently, a ranking of DTs replacement priorities is generated for the previously defined areas using the multicriteria technique TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution), taking into account social, technical, economical, and regulatory aspects. The methodology was applied using a DTs database from a distribution system in Colombia, complemented with information from technical standards and specialized documents. The results obtained demonstrate its versatility and efficiency, allowing the generation of a robust replacement plan tailored to the needs of the DisCo.