This study addresses the tactical planning problem for reverse flows of pre-owned consumer electronics under uncertainty. Inspired by industrial operations at Recommerce Group, the problem involves product heterogeneity, a two-stage refurbishment process with batch remanufacturing, and multi-class demand. The objective is to develop a planning model that captures the stochastic quality of incoming returns while meeting demand expressed by product classes. The problem is formulated as a two-stage stochastic mixed-integer linear program: first-stage decisions route returns to refurbishment centers and launch remanufacturing batches, whereas second-stage recourse decisions allocate flows to meet demand under scenarios generated from probabilistic distributions of return quality.