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Home » Reimagining Retail: Gigging Customers Into Supply Chain Partners
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Reimagining Retail: Gigging Customers Into Supply Chain Partners

February 3, 2025
Gurram Gopal, Chair, IT & Management Department, Affiliate Professor, Stuart School of Business, Illinois Institute of Technology

IIT-Gopal.pngAnalyst Insight: In the evolving landscape of retail and workforce management, a revolutionary approach is emerging, transforming customers from passive shoppers into active contributors to the supply chain. This innovative concept, dubbed "gigging the retail supply chain," is more than just a cost-cutting strategy — it's a radical reimagining of how businesses can create value, engage customers and address workforce challenges.

Retail companies face increasing pressure to transform their fixed costs into variable ones to better manage fluctuating demand. With advances in AI tools and a workforce increasingly drawn to remote and flexible arrangements, gig workers are poised to become an integral part of the supply chain, including retail operations.

Over the past century, businesses have maximized the utilization of fixed assets through strategies like outsourcing and offshoring. While these approaches have helped manage manufacturing and supply costs, addressing labor needs in retail supply chains has been more challenging. Today, a rising preference for flexible work among Gen Z employees creates staffing issues for routine tasks, such as updating price tags or stocking shelves. Enter on-demand platforms — innovations akin to Uber — that connect retail stores and brands with gig workers. These platforms offer several benefits, revolutionizing the way retail supply chains operate.

Imagine walking into a store and, alongside your shopping, having the opportunity to complete quick tasks that help the business — and earn a little extra money in the process. Several firms around the world are creating the mobile apps and the infrastructure that is enabling this new era of “gigging customers into supply chain partners.” Turning customers into workers not only enhances customer loyalty but also ensures task efficiency, drawing on their familiarity with the store.These task-oriented digital apps allow stores and brands to post specific tasks. Frequent shoppers, familiar with a store's layout, can use these apps to earn money while shopping. Customers can browse available tasks while shopping, completing activities such as checking product expiration dates, updating price labels, restocking shelves, conducting store audits, and capturing competitive pricing information and promotion.

This approach offers a compelling array of advantages:

Workforce flexibility. By creating an on-demand workforce, retailers tap into a previously untapped labor pool. Parents, students and others with limited availability can now contribute meaningfully, breaking down traditional employment barriers.

Enhanced customer loyalty. When customers become active participants in store operations, their connection to the brand deepens. They’re no longer just consumers, but collaborators with a stake in the store's success.

Hyperlocal intelligence: Real-time, ground-level insights become possible. Customers can capture competitive intelligence (such as promotions), provide immediate feedback, and help brands understand local market nuances in ways traditional market research cannot.

Sustainability impact: By utilizing local, already-present customers, retailers can significantly reduce transportation-related carbon emissions. Each task completed is a small step toward a more sustainable retail ecosystem. 

Outlook: All this is more than a trend; it's a glimpse into the future of work and retail. For retailers, it's an opportunity to reimagine operational efficiency. For brands, it’s a means to gather valuable intelligence. For workers, it's a chance to earn income on their own terms. For society, it's a pathway to more inclusive economic participation. The gig-ification of retail supply chains constitutes a movement toward a more adaptive, engaging, and sustainable business model. 

Resource Link: https://www.iit.edu/stuart

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