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<p>The digital era is reshaping supply chain operations through widespread integration of Artificial Intelligence (AI), automation, and hybrid work models. This transformation necessitates a reconfiguration of workforce structures, particularly in terms of flexible job roles and AI-related skills. However, limited empirical research exists on how these shifts are evolving across supply chain functions and geographies. This study addresses this gap by forecasting workforce transformation trends across 5 critical supply chain job roles, viz., Customer Service, Information Technology Operations, Marketing, Production and Manufacturing, and Sales by employing daily job posting data from February 2019 to January 2025 for five developed economies of the world through time series forecasting. Sector-specific time series forecasts are generated through Vector Autoregression and Bidirectional Long Short-Term Memory models, validated through statistical diagnostics and corroborated by leading industry and labour market reports. Results indicate consistent growth in hybrid job roles across functions, with heterogeneous trends in AI-skilled demand, reflecting sectoral readiness and task-specific automation potential. The framework also offers actionable insights for strategic workforce planning for designing a resilient, future ready, inclusive digital era supply chain, predominantly aligned with Sustainable Development Goals 8 and 9.</p>

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Navigating workforce transformation in digital era supply chain through time series forecasting

  • 期刊论文

  • 发表日期：

    2026年1月5日

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  • Sanchari Ghosh,
  • Sandeep Mondal

摘要

The digital era is reshaping supply chain operations through widespread integration of Artificial Intelligence (AI), automation, and hybrid work models. This transformation necessitates a reconfiguration of workforce structures, particularly in terms of flexible job roles and AI-related skills. However, limited empirical research exists on how these shifts are evolving across supply chain functions and geographies. This study addresses this gap by forecasting workforce transformation trends across 5 critical supply chain job roles, viz., Customer Service, Information Technology Operations, Marketing, Production and Manufacturing, and Sales by employing daily job posting data from February 2019 to January 2025 for five developed economies of the world through time series forecasting. Sector-specific time series forecasts are generated through Vector Autoregression and Bidirectional Long Short-Term Memory models, validated through statistical diagnostics and corroborated by leading industry and labour market reports. Results indicate consistent growth in hybrid job roles across functions, with heterogeneous trends in AI-skilled demand, reflecting sectoral readiness and task-specific automation potential. The framework also offers actionable insights for strategic workforce planning for designing a resilient, future ready, inclusive digital era supply chain, predominantly aligned with Sustainable Development Goals 8 and 9.