Procurement functions are reorganising around new capabilities: digital enablement, talent re-skilling and strategic sourcing rather than purely cost-cutting.

The article identifies that sourcing teams now expect to deliver innovation, risk mitigation and value creation, not just purchasing optimisations.

Procurement’s strategic role is shifting: real-time market intelligence, supplier risk scoring and dynamic sourcing are increasingly in focus

Companies are moving away from a pure cost-minimisation sourcing model to a “cost of resilience” mindset — building sourcing networks that flex under disruption.

Multi-regional sourcing, increased redundancy and supplier network strategies are now part of procurement planning.

Strategic sourcing today emphasises supplier-diversity, risk modelling, visibility across tiers and digital data.

The article argues that sourcing teams must adopt intelligence (data & analytics) and build partnerships, not just vendor transactions.

Procurement leaders are advising they need to treat “supplier + network” rather than just “supplier” — covering tier 2/3 risk and ecosystem visibility.

Automation (contract lifecycle, sourcing events), AI insights, and supplier collaboration are top strategic priorities.

The retailer is deploying AI-driven inventory counting across 11,000+ North American stores, enabling much more frequent scans and faster replenishment.

This application shows how automation at the retail-end can drive supply chain efficiency and responsiveness in real time.

Macy’s investment in a 2.5 million-sq-ft automated warehouse with robots and smart software reduces fulfillment times and supports turnaround strategy.

This reflects how automation in distribution centres is becoming integral to e-commerce and omni-channel retail logistics.

Retailers are adopting process intelligence (data from ERP, CRM, HCM etc) to gain real-time visibility over operations, detect inefficiencies and automate workflows.

The article emphasises that automation & AI must link front-office (sales/customer) & back-office (inventory/operations) to succeed.

A survey of leading vendors shows how AI is applied across planning, automation, visibility and logistics in supply chains.

Illustrates that companies are rapidly evaluating and adopting AI-enabled solutions for end-to-end supply chain improvements.

Manufacturing sites like those of Bausch + Lomb, Spot & Tango and FranklinWH Energy Storage are applying AI systems to predict equipment failures, automate purchase orders and inspect quality—resulting in shorter cycle times and lower cost per unit.

According to a KPMG survey cited in the piece, 77% of manufacturers plan to increase AI investment in the coming year—indicating that what was a pilot phase is now scaling into mainstream operations.

CVS automates a major distribution centre, closes a few warehouses, and repurposes fulfilment to accelerate restocking and meet sales channels (store & online) more effectively.

The strategy links operations footprint to customer fulfilment expectations, underlining that sales success depends on operational agility and fulfilment lead-times.

Retailers are adopting diversified transport/logistics modes and shifting sourcing and operations strategies in response to geopolitical, climate and demand-volatility risks.

This article underscores that Ops & Sales need to integrate resilience planning (transport, sourcing, inventory) to ensure consistent service levels and support sales targets.

Canadian manufacturers describe how S&OP processes (monthly cycles, cross-functional alignment, use of KPIs such as forecast accuracy & inventory turns) are helping them scale in complex supply-chain contexts.

Shows how operations planning must be tightly connected to sales forecasts and resource planning to avoid excess inventory, stock-outs, and mis-aligned capacity.