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McCormick Raises Its Inflation Outlook: Turn Freight and Input Cost Signals Into SKU Decisions

· 6 min read
CXTMS Insights
Logistics Industry Analysis
McCormick Raises Its Inflation Outlook: Turn Freight and Input Cost Signals Into SKU Decisions

Inflation rarely arrives as one clean number. A food manufacturer may see ingredients, packaging, ocean transport, domestic trucking, and warehouse handling move at different speeds. When those changes are averaged across a portfolio, profitable products can subsidize weak ones and temporary freight exceptions can trigger permanent commercial decisions.

McCormick's revised outlook makes the problem concrete. The spice and seasoning company now expects fiscal 2026 inflation of as much as 7%, up from a mid-single-digit year-over-year increase. For supply chain leaders, the useful response is not another network-wide surcharge. It is a set of decision rules that connects actual logistics and input costs to each SKU, customer, and channel.

Treat the forecast as a portfolio signal​

Supply Chain Dive reports that McCormick attributed its higher forecast to freight, logistics, packaging, and other input costs. The company also expects commodity and freight expenses to compress year-over-year margin in the quarter ending November 30, even as pricing and productivity initiatives offset some pressure.

The freight market reinforces that warning. In September, the Logistics Managers' Index reading for transportation prices reached 92.7, 2.7 points higher than in August, according to FreightWaves. Any value above 50 indicates expansion, so a reading above 90 signals unusually strong price growth. FreightWaves also reported transportation capacity below 40, indicating contraction.

Those figures justify attention, but not blanket action. A high market index does not reveal whether a glass spice jar moving inbound from a port is losing money, whether a pouch shipped regionally remains profitable, or whether an expedited load was a one-time service recovery. That requires shipment-level attribution.

Build a landed-cost record for every SKU flow​

Start with a cost ledger that follows goods through four stages: inbound material, plant or co-packer receipt, inventory transfer, and customer delivery. Assign expenses using the operational factor that caused them rather than spreading everything by revenue.

Ingredient and packaging freight can be allocated by weight, cube, pallet position, or container share. Transfer costs should include handling, storage, and repositioning between plants and distribution centers. Outbound costs should capture line-haul, fuel, accessorials, detention, redelivery, parcel fees, and claims. When an order contains several SKUs, split cost using a consistent combination of weight, cube, handling requirements, and units.

The ledger should retain four dimensions: SKU, customer, channel, and lane. A product can be profitable in full-pallet grocery replenishment but destructive in small direct-to-consumer parcels. A customer can look attractive at the gross-sales level while frequent minimum orders, appointment penalties, and rejected deliveries consume the margin.

Use actual carrier invoices and shipment outcomes wherever possible. Estimates are still useful before execution, but finance and operations need a regular estimated-versus-actual reconciliation. Otherwise, accessorials and emergency moves remain invisible until the monthly close.

Define margin triggers before pressure becomes a crisis​

Decision rules turn the ledger into action. Each trigger needs a threshold, observation period, owner, and approval route. A single expensive load should create an exception to investigate, not an automatic price increase.

Packaging and pack size: If freight and packaging cost per sellable unit exceeds its target for two review periods, test lighter packaging, better case utilization, or a larger pack. Protect product quality and shelf life; reducing cube is not a win if damage or spoilage rises.

Sourcing review: If inbound landed cost stays above the approved range and the variance is shared across several shipments or suppliers, compare alternate origins, suppliers, ports, and modes. Include lead time, duties, minimum order quantities, inventory carrying cost, and service risk rather than selecting the lowest unit quote.

Inventory placement: If outbound cost or service failures cluster in a region, model forward positioning for the affected SKUs. Move inventory only when avoided transport and lost-sales costs exceed added storage, handling, and obsolescence risk.

Repricing or commercial review: If contribution margin after logistics falls below a product-customer threshold for a defined period, route the combination for pricing, order-minimum, delivery-frequency, or assortment review. Broad price increases should be the last conclusion, not the starting assumption.

These rules work best as a ladder. A small deviation prompts monitoring; a sustained deviation opens analysis; a material breach requires an approved action. That protects teams from both slow reaction and overreaction.

Separate structural inflation from lane exceptions​

Structural inflation appears across multiple suppliers, lanes, and periods. An exception has a traceable cause: a missed appointment, a plant outage, a weather diversion, a rejected tender, or an urgent customer request. Mixing the two produces bad decisions.

Classify every material variance with a reason code and expiration date. Compare the SKU's rolling landed cost with its baseline, but also segment by mode, carrier, origin, destination, and service level. If increases persist across comparable movements, the signal is probably structural. If the variance disappears when a particular lane, provider, or event is removed, operations should fix that exception before commercial teams alter the product.

Connect shipment evidence to decisions in CXTMS​

CXTMS can provide the transportation record behind the ledger: planned and actual rates, shipment contents, lanes, modes, milestones, accessorials, carrier invoices, and exception reasons. Teams can connect that evidence with product, order, and margin data to see where cost pressure is accumulating.

Dashboards can flag threshold breaches by SKU-customer combination, while workflows assign sourcing, packaging, inventory, or pricing reviews to the right owner. Crucially, the underlying shipments remain available for audit. Decision-makers can see whether a trigger reflects a durable pattern or three abnormal loads.

McCormick's higher inflation outlook is a warning that averages are losing their usefulness. Food supply chains need a sharper view: cost at the point where a product, customer promise, and freight movement meet. With that evidence, companies can respond selectively—protecting service and margin without forcing every SKU into the same answer.

Request a CXTMS demo to see how shipment-level costs and exceptions can support faster, evidence-based profitability decisions.