Ms. Neha Patkar

Abstract

Rapid technology transformation and legislation related to product return has driven the organizations to make endeavours for improving efficiency in reverse logistics. Now maintaining of efficient Reverse logistics (RL) system has come to the forefront and has become a key capability area for any logistics & manufacturing firm. This has helped the individual organisations in sustaining increased competitiveness and mitigating threat of losing market share due to increased competition created by globalization. Any firm’s ability to handle reverse flow of products and its processing within the supply chain system has been constantly increasing so as environmental, legal & customer service related issues may be addresses satisfactorily. The product return policy of e-com portals are continuously gaining popularity in the market and compelling all market participants to come with the similar policies to match the competition. Reverse Logistics is process of returning product back through the supply chain, it involves disposition, recycling, remanufacturing, and disposal resale including warehousing & transportation that varies with type of returned product or material. In SCM, the concept of Artificial intelligence (AI) has gained a lot of applications. The faster intensification of e-commerce, persistent supply chain management, and worry for atmosphere, lead to advancement in reverse logistics. [20] The application of AI methods takes reverse logistics industry to next milestone & provides various benefits to each and everyone involve in SC. The application of AI in reverse logistics is also gaining popularity. This paper is prepared to emphasise the importance of Reverse Logistics system and its position in consumer centric industries. This also aims at highlighting diverse perspectives of Reverse Logistics and its influence on the market dynamics. Also explore the relevance of Artificial Intelligence approaches in Reverse Logistics system.

Keywords- Reverse logistics (RL), Artificial Intelligence (AI), Return Management, Genetic Algorithm.