标题： 易腐商品在快速电子商务应用中的定价数学模型 显示英文标题

标题： A mathematical model for pricing perishable goods for quick-commerce applications

摘要： 快速零售（q-commerce）是印度增长最快的行业之一。 它为大约45万名工人提供了非正式就业，预计到2026年将发展成为价值2000亿美元的产业。 该行业相当一部分涉及易腐商品。 （例如： 牛奶、发酵米浆等。） 这些是消费者相对新鲜消费的食品，因此即使平均购物篮规模相对较小，其订单量也较高且重复。 对于零售商而言，基本挑战在于，提高售价会阻碍销售并导致库存积压。 另一方面，设定较低的价格会导致潜在收入的损失。 本文旨在提出一个数学模型，以形式化这种困境。 这个问题不仅对于改善长期亏损的快速零售公司的单位经济至关重要，而且还会产生连锁反应，从而改善零工工作者的状况，如[4]中所观察到的。 以下各节描述了数学公式。 模拟的结果将在后续研究中发表。 显示英文摘要

摘要： Quick commerce (q-commerce) is one of the fastest growing sectors in India. It provides informal employment to approximately 4,50,000 workers, and it is estimated to become a USD 200 Billion industry by 2026. A significant portion of this industry deals with perishable goods. (e.g. milk, dosa batter etc.) These are food items which are consumed relatively fresh by the consumers and therefore their order volume is high and repetitive even when the average basket size is relatively small. The fundamental challenge for the retailer is that, increasing selling price would hamper sales and would lead to unsold inventory. On the other hand setting a price less, would lead to forgoing of potential revenue. This paper attempts to propose a mathematical model which formalizes this dilemma. The problem statement is not only important for improving the unit economics of the perennially loss making quick commerce firms, but also would lead to a trickle-down effect in improving the conditions of the gig workers as observed in [4]. The sections below describe the mathematical formulation. The results from the simulation would be published in a follow-up study.