ARUN KUMAR
SUPPLY CHAIN TECHNOLOGY
The practical applications are transformative. Consider fleet management, for example. Rather than simply tracking vehicles through internal GPS systems, companies can now integrate weather pattern data to anticipate disruptions before they occur.
Arun asks:“ If you’ re managing a fleet, wouldn’ t you want to know if there’ s bad weather coming for one of your truck’ s routes?”
This expanded visibility transforms reactive supply chain management into proactive strategic planning.
Similarly, retailers are increasingly subscribing to county-level health records to optimise inventory decisions. A pharmacy chain might use this data to ensure adequate flu vaccine stock in zip codes predicted to experience higher infection rates during flu season. Such granular, predictive analytics represents a significant leap from traditional, seasonal demand planning.
ARUN KUMAR
TITLE: GLOBAL HEAD OF PRODUCT AND INDUSTRY PRACTICE
COMPANY: ALTIMETRIK INDUSTRY: TECHNOLOGY
An experienced supply chain practitioner, Arun has worked across the manufacturing, retail and technology sectors. At Altimetrik, he is responsible for the vision, design and delivery of product and platform offerings.
Revolutionising forecasting and waste reduction Traditional forecasting relied heavily on historical patterns and seasonal adjustments – something of a blunt instrument in today’ s volatile marketplace.
Big data transforms the landscape by enabling sophisticated machine learning models that analyse demographic clusters, customer behaviour patterns and real-time market conditions simultaneously.
180 October 2025