Part 3/14:

Ganesh described supply chains as intricate ecosystems involving multiple vendors, countries, and systems. From raw material sourcing to final delivery, numerous touchpoints generate vast volumes of structured and unstructured data—transaction logs, IoT feeds, bills, PDFs, and more.

He highlighted that data is the backbone of supply chain management, influencing financial results, inventory levels, demand forecasting, and operational efficiency. “Every transaction and handshake across the globe embodies data—this data when harnessed correctly can enable better planning, risk mitigation, and decision-making,” he asserted.

Challenges in Managing Supply Chain Data

Despite the abundance of data, many organizations face significant hurdles: