13 posts tagged with βoperationsβ

Supply chain data silos are blocking visibility projects by separating transportation, warehouse, supplier, and finance data from the decisions teams need to make.

Kimberly-Clark's five-year, $3 billion productivity plan is delivering results through value-stream simplification, network optimization, and scaled automation β not new software licenses.

Supply chain AI pilots are failing to scale because companies are treating operational transformation like a software install.

Warehouse labor AI should help supervisors prevent overload, reassign work earlier, and protect pickup windows instead of only reporting productivity after the shift.

Under Armour's 25% SKU reduction shows why assortment simplification is becoming a supply chain strategy for inventory quality, warehouse flow, and transportation control.

Supplier and carrier portals now sit in the critical path of booking, tracking, and billing. When those portals break, logistics teams lose visibility, create manual workarounds, and absorb avoidable operating cost.

Late payments are not just a collections headache. They are often the downstream signal of upstream breakdowns in contracts, pricing, service execution, billing, and data flow. Logistics operators that treat AR metrics like operational telemetry can improve cash conversion and working capital faster.

Operational fatigue is becoming the defining supply chain risk of 2026 as disruption, AI adoption, and compliance pressure stack on top of already stretched teams.

77% of warehouse systems can't support AI operations. Why physical infrastructure modernization β not software β is the real supply chain AI bottleneck.

Inventory data fragmentation costs the global retail industry $1.7 trillion annually. Learn how data unification eliminates false stockouts, reverse logistics gridlock, and the hidden costs of disconnected supply chain systems.