Operating an online thrifting business involves significant manual effort in sorting, pricing, labeling, and listing each pre-owned item. Swag Kicks, a key player in Pakistan’s online thrift market, has tackled this challenge by implementing a tool powered by artificial intelligence and machine learning to automate their operations.
Nofal Khan, the CEO and co-founder of Swag Kicks, envisions AI as a key factor in making the industry more environmentally friendly. He highlights the company’s efforts to minimize its environmental impact by leveraging technology.
Initially focusing on addressing the lack of affordable high-quality sneakers for the youth in Pakistan, Swag Kicks has successfully democratized fashion access by offering globally recognized brands at reduced prices. This approach not only satisfies the demand for trendy products but also contributes to sustainability by giving a new life to second-hand sneakers and clothing, thus reducing waste that would otherwise end up in landfills.
Challenges arose for Swag Kicks as they grew, particularly in managing their inventory of pre-owned fashion items efficiently. Manual processes such as sorting, grading, and pricing proved to be time-consuming and prone to missed revenue opportunities. In response, the company developed a proprietary technology called ThriftOps, which streamlines operations through automation using AI and machine learning, addressing the labor-intensive nature of the thrift industry.
Addressing a common misconception, Nofal Khan sheds light on the less eco-friendly aspects of the thrift industry. Contrary to the perception of thrift being an environmentally conscious choice, the process involves extensive global shipping of donated items, leading to significant carbon emissions. The company’s commitment to leveraging technology to enhance sustainability showcases their dedication to minimizing their ecological footprint amidst the challenges within the industry.
