Showing 1 - 10 of 4 results
SUSTAINABILITY: Operationalising Sustainability for Supply Chains
By Aysha Thasneem | November 20, 2025
Reading Time: 3 minutesSetting the Scene: Why Sustainability Now Defines Supply Chains Sustainability has moved from being a competitive differentiator to a fundamental expectation across industries. In logistics, which accounts for about 11% of global CO₂ emissions (IEA, 2023), road freight alone represents nearly three-quarters of that footprint (ITF, 2023). For supply chains that handle sensitive or hazardous […]
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Supply Chain Leadership: What Does it Mean and What Should Individuals and Organisations Do to Strengthen Leadership?
By Aysha Thasneem | August 26, 2025
Reading Time: 4 minutesBut what exactly does supply chain leadership mean in the 2020s and beyond? And what actions can individuals and organisations take to cultivate, attract, and amplify the capabilities of effective supply chain leaders? Redefining Supply Chain Leadership Traditional supply chain management was predominantly focused on cost optimization, inventory control, and transactional efficiency. Leadership in this […]
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Urban Supply Chain – The Green Conundrum Introduction: The Double-Edged Sword of Progress
By Aysha Thasneem | August 19, 2025
Reading Time: 4 minutesThe urgency is mounting. Logistics and transportation are major contributors to greenhouse gas emissions, and with more than half of the world’s population now living in cities, a figure expected to rise to 68% by 2050, the environmental footprint of urban delivery networks cannot be ignored. In this context, sustainable intralogistics is not just a […]
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AI’s Disruptive Impact on Supply Chain Security
By Aysha Thasneem | May 20, 2025
Reading Time: 3 minutesAI’s impact on supply chain security can be categorized into several key areas: 1. Predictive Analytics and Risk Management One of AI’s most powerful applications is predictive analytics, which enables organizations to anticipate potential disruptions. AI-powered models analyze historical data, weather patterns, economic conditions, political instability, and social trends to forecast possible risks. For example, machine learning algorithms can predict […]
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