MakeMyTrip is using an AI-first operating model to manage volatile, multi-modal demand at national scale while holding margins and cash discipline. In Brief The Strategic
Trucking telematics safety data is piling up faster than many fleets can use it, and the gap between instrumentation and on-road behavior is becoming a
Agentic AI promises autonomous, adaptive decision-making in supply chain operations, but that promise depends on a solid machine learning foundation. Organizations that treat ML as
AI investment in supply chain planning is climbing rapidly as companies try to manage volatility, cost pressure, and increasingly fragmented execution environments. New research from
Domino’s is moving from digital tracking to AI‑driven kitchen orchestration, using just‑in‑time production to defend value and scale profitably across a growing global network. In
A new Gartner survey shows AI-native supply chain ambitions running into two old barriers – legacy technology and scarce skills. As pressure rises to show
A disciplined operations audit can uncover process, management, and data gaps that blunt the impact of warehouse automation and AI. Treating the distribution center as
Supply chain portals now sit on the critical path for orders, inventory and logistics, yet many still treat them as peripheral IT tools rather than
Location based supply chain resilience now depends on knowing where materials, assets and risks sit in the real world, not just what dashboards report. As
Artificial intelligence is taking on a larger role in how companies plan inventory, route shipments, and maintain assets, even as volatile trade and cost conditions
MakeMyTrip is using an AI-first operating model to manage volatile, multi-modal demand at national scale while holding margins and cash discipline. In Brief The Strategic
Trucking telematics safety data is piling up faster than many fleets can use it, and the gap between instrumentation and on-road behavior is becoming a
Agentic AI promises autonomous, adaptive decision-making in supply chain operations, but that promise depends on a solid machine learning foundation. Organizations that treat ML as
AI investment in supply chain planning is climbing rapidly as companies try to manage volatility, cost pressure, and increasingly fragmented execution environments. New research from
Domino’s is moving from digital tracking to AI‑driven kitchen orchestration, using just‑in‑time production to defend value and scale profitably across a growing global network. In
A new Gartner survey shows AI-native supply chain ambitions running into two old barriers – legacy technology and scarce skills. As pressure rises to show
A disciplined operations audit can uncover process, management, and data gaps that blunt the impact of warehouse automation and AI. Treating the distribution center as
Supply chain portals now sit on the critical path for orders, inventory and logistics, yet many still treat them as peripheral IT tools rather than
Location based supply chain resilience now depends on knowing where materials, assets and risks sit in the real world, not just what dashboards report. As
Artificial intelligence is taking on a larger role in how companies plan inventory, route shipments, and maintain assets, even as volatile trade and cost conditions
