2026 Top 100 Importers & Exporters

COMMENTARY

By Paul Tonsager

The signal isn’ t coming from the market. It’ s coming from a lab.

Plus-size apparel is contracting. The numbers are in the earnings calls; store closures are accelerating, revenues are declining and CEOs attributing the downturn directly to GLP-1 weight loss medications.

Approximately 25 % of customers at major plus-size retailers are actively losing weight and deferring purchases until they reach their goal size. For freight operators, the translation is straightforward: fewer container bookings out of Bangladesh, softening elastane import volumes from South Korea and China, rising return flows through apparel distribution centers, and athleisure volume shifting to different origins, factories and lanes.

That’ s the GLP-1 story in freight terms. But the more important question isn’ t what GLP-1 does to one commodity flow. It’ s what GLP-1 represents, and whether the industry is paying attention to the category it belongs to.

Supply chains are inference machines. They watch what moved last season and build a model of what will move next. Carrier contracts, network design, capacity commitments and inventory positioning are all calibrated to demand cycles that move in human decision-time. A trend emerges. Shippers respond. Freight adjusts. That’ s the model.

GLP-1 doesn’ t fit the model. The consumer isn’ t choosing differently based on preference. Their body is changing on a pharmaceutical timeline with no seasonal pattern and no historical precedent in any demand planning system. The signal isn’ t coming from the market. It’ s coming from a lab.

That’ s the category: structural demand shifts originating outside the market. And GLP-1 is not the only one in play.

Repeating pattern

The electric vehicle transition is doing to auto parts freight what GLP-1 is doing to apparel, but slower and on a much larger scale. An internal combustion vehicle contains approximately 30,000 parts. An EV eliminates approximately 10,000 of them. Transmissions, exhaust systems, fuel injectors— the freight lanes serving these components are in structural decline. The lanes serving battery materials— lithium, cobalt, copper— are being built in real time, often on entirely different corridors with different modal requirements. Carriers and third-party logistics providers who built capacity around internal combustion engine component flows are holding assets against a demand base that is shrinking by design.

Food and beverage may be the next to be impacted by GLP-1, and the impact could be even larger than in apparel. If 23 % of US households are on these medications— up four points in a single year, according to Circana— and consuming meaningfully fewer calories, the freight infrastructure built around the old consumption baseline is exposed. Bulk grain movements, refrigerated less-than-truckload networks, warehouse footprints and replenishment frequency are all sized to a caloric demand curve that is quietly bending downward.

The volume impact hasn’ t fully materialized, but it will.

Remote work ran the same playbook earlier this decade. Office-bound freight flows like commercial furniture, facilities supplies, workplace technology and food service didn’ t disappear. They redistributed to suburbs and residential addresses in patterns that no demand planning model had anticipated. Last-mile density assumptions broke. The signal came from a public health event, not a consumer preference survey.

The common thread isn’ t the specific force( pharmaceutical, technological, epidemiological), but the origin. These signals don’ t come from the market. Instead they come from labs, legislatures and external shocks. Freight networks optimized to read market signals— booking velocity, tender acceptance, seasonal lift— are structurally late to detect them.

GLP-1 is the most legible example yet because it has a drug name, a measurable penetration curve, and identifiable freight consequences already showing up in origin mix and return volumes. Such clarity is unusual. Most structural demand shifts are harder to see until capacity is misaligned, contracts don’ t match the freight, and the repositioning cost is already real.

The operators who outperform in the next decade won’ t necessarily be the ones who move the most freight, but the ones who developed the capability to read demand signals that don’ t originate in the market and built network flexibility before the curve arrived.

GLP-1 is the canary. The question is whether the industry treats it as a one-time anomaly or as a preview of the operating environment it now lives in.

email: paul. tonsager @ multimodalsolutions. io

34 Journal of Commerce | May 4, 2026 www. joc. com