Optimal Prices and Trade-in Rebates for Durable, Remanufacturable Products

TLDR

Durable products serve first‑time and replacement customers, and firms use trade‑in rebates to accelerate purchases while potentially generating remanufacturing revenue from returned units. This paper seeks the optimal pricing and trade‑in rebate policies for durable, remanufacturable products. The authors analyze three pricing schemes—uniform, age‑independent rebate, and age‑dependent rebate—under the assumption that replacement customers value only trade‑ins, and evaluate how product durability, return revenue, age distribution, and segment size influence optimal prices through numerical simulations. The study identifies the most profitable pricing strategy for a given market condition and outlines its implications for life‑cycle pricing of durable, remanufacturable goods.

Abstract

Most durable products have two distinct types of customers: first-time buyers and customers who already own the product, but are willing to replace it with a new one or purchase a second one. Firms usually adopt a price-discrimination policy by offering a trade-in rebate only to the replacement customers to hasten their purchase decisions. Any return flow of products induced by trade-in rebates has the potential to generate revenues through remanufacturing operations. In this paper, we study the optimal pricing/trade-in strategies for such durable, remanufacturable products. We focus on the scenario where the replacement customers are only interested in trade-ins. In this setting, we study three pricing schemes: (i) uniform price for all customers, (ii) age-independent price differentiation between new and replacement customers (i.e., constant rebate for replacement customers), and (iii) age-dependent price differentiation between new and replacement customers (i.e., age-dependent rebates for replacement customers). We characterize the roles that the durability of the product, the extent of return revenues, the age profile of existing products in the market, and the relative size of the two customer segments play in shaping the optimal prices and the amount of trade-in rebates offered. Throughout the paper we highlight the operational decisions that might influence the above factors, and we support our findings with real-life practices. In an extensive numerical study, we compare the profit potential of different pricing schemes and quantify the reward (penalty) associated with taking into account (ignoring) customer segmentation, the price-discrimination option, return revenues, and the age profile of existing products. On the basis of these results, we are able to identify the most favorable pricing strategy for the firm when faced with a particular market condition and discuss implications on the life-cycle pricing of durable, remanufacturable products.