9 posts tagged with “demand-planning”

July truck tonnage declined while rail traffic grew. Learn how lane-level TMS data can distinguish weak demand, mode shift, and load consolidation.

Walmart’s Q2 slowdown shows why retailers must reconcile demand, inventory, and inbound freight before cutting transportation commitments.

Nissin Foods' AI planning initiative will matter only if better forecasts improve fill rates, reduce expedites, and produce better shipment decisions.

Apple's demand-driven product constraints show why forecasts, component commitments, allocation rules, and freight capacity must move through one execution workflow.

May business inventories rose while sales accelerated, putting replenishment timing, inbound freight, and warehouse capacity back at the center of service reliability.

Tariffs are becoming a logistics planning variable for consumer products teams because price pressure changes demand, inventory aging, replenishment cadence, and freight mode decisions.

May retail sales growth shows why fulfillment teams need weekly demand sensing across inventory, labor, parcel capacity, and transportation execution.

U.S.-bound containerized imports fell for a 12th straight month in April 2026, but the bigger planning risk is commodity mix, tariff timing, and mode-conversion pressure.

NRF’s 2026 retail outlook points to stronger consumer demand, but the real story is what that growth means for inventory placement, replenishment speed, parcel costs, and returns pressure across logistics networks.