State & Local Analysis
Indian Supply Chains Adopt Data-Driven Decision Making
March 16, 2026
Indian supply chains are increasingly integrating data-driven decision making (DDDM) to enhance operational efficiency, demand forecasting, inventory management, and logistics planning. This shift is driven by advances in data analytics and machine learning, which enable more proactive and optimized supply chain operations. However, challenges such as data quality issues, talent shortages, cybersecurity risks, and regulatory alignment remain critical factors to address. The proposed framework emphasizes technological upgrades, workforce skill development, and government support to normalize DDDM practices, aiming to boost global competitiveness and sustainability in Indian supply chains.
- Procurement professionals should consider the growing demand for advanced analytics tools and machine learning solutions tailored to supply chain management in India.
- Vendors offering data quality assurance, cybersecurity services, and training programs for analytics skills may find expanding opportunities.
- Government agencies and contractors involved in supply chain modernization initiatives should align procurement strategies with regulatory and technological frameworks supporting DDDM.
- Organizations can leverage this trend to improve supply chain resilience and sustainability, which are increasingly prioritized in public and private sector contracts.
Data-driven decision making has emerged as a transformative approach that significantly enhances supply chain management by enabling proactive, informed, and optimized decisions.
— Rekha M, Assistant Professor
Locations
Sources
- Data-Driven Decision-Making in Supply Chain Management · International Journal For Multidisciplinary Research (IJFMR) · Mar 16