Risk-based optimization of intelligent sustainable multi-channel retailing under carbon emissions regulations and demand uncertainty

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Abstract
Growing consumer preference for environmentally conscious brands underscores the importance of sustainable practices in retail. The present study demonstrates the combined impact of carbon regulation policies and customer care service quality on operational efficiency, sustainability, and customer satisfaction within smart multi-channel retailing under an intelligent production process. Owing to the real-world applicability of the model, the demand is considered as a function of advertising, channels’ selling prices, and investment in product greenness. Furthermore, the model incorporates intelligent autonomous inspection to minimize waste generation through proper imperfection detection. Flexibility in the manufacturing process and automation investment increase the profit by 2.36% by reducing waste generation. Numerical experiments and sensitivity analyses ensure enhanced customer care services can increase retail system profitability by 82.13% while advertising and green investment contribute a 57.38% profit increase by increasing product demand. The study’s findings claim that carbon cap-and-trade regulation policy yields the highest profitability. These findings provide remarkable insights for retailers to balance environmental responsibility with economic performance in a multi-channel environment.
Funding Information
  • Institute of Science and Technology, Kattankulathur (SRMIST/R/AR(A)/SERI2025/174/52)

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