AAI POP Displays
Sign inStart generating

Cardboard displays for beverages

Cardboard is the dominant POP material in beverage retail. FSDUs in supermarket aisles, endcaps at Walmart and Tesco, shelf trays on beer and wine shelves — almost all of it is corrugated, printed on flat sheet, shipped flat-packed, glued on shelf by a merchandising team. The category cycle is 4-6 weeks per activation.

Design yours now — free trialHow sharing with a manufacturer works

Why cardboard owns beverage POP

Three factors:

  1. Volume. A national soft-drink activation in the US runs 3,000 to 10,000 FSDUs in 4 weeks. Only corrugated scales that quickly at reasonable cost.
  2. Logistics. Beverage POP ships flat, fits inside the retailer's existing DC pallet operations, and assembles in under 2 minutes by a merchandiser. Plastic or metal fixtures don't fit this flow.
  3. Cycle alignment. Beverage promos rotate every 4-6 weeks — exactly the lifespan a corrugated FSDU is designed for. Permanent fixtures would outlast the campaign.

The exceptions: premium spirits (single malts, prestige champagne) often use hybrid corrugated + metal frame fixtures for an upgraded read. Wine glorifiers in fine-wine retail go fully permanent in metal and wood.

Standard formats and weight ratings

Half-pallet FSDU: 600x400mm footprint, 1.4-1.6m tall. Holds 60-120 cans or 24-48 bottles. Weight rating around 30-50kg with double-wall E-flute + B-flute construction.

Full-pallet FSDU: 1200x800mm EU pallet footprint, 1.6-1.8m tall. Holds 200+ cans. Used for major Walmart/Tesco activations where the brand has negotiated full-pallet space.

Endcap: gondola-end fixture, 1.2x0.6m typical. Multi-week program, often a co-branded retailer activation. Higher production tier than aisle FSDUs.

Shelf tray: 400x300mm, sits on existing shelving. Used for facing reinforcement of a sub-line (new flavor, limited edition). Holds 12-24 units. Cheapest format, lowest production lead time.

Structural validation before scaling

Before committing to a 5,000-unit print run, request a white-card sample (unprinted, structural only) and load it to maximum spec for 3 days. If the structure holds without deformation, the printed version will too. If it sags or buckles, you need either a heavier flute spec, doubled walls, or a hybrid corrugated + metal frame.

This is the single most cost-effective validation step in beverage POP. A failure caught at white-card sample costs an extra week. The same failure caught in production costs the entire run.

How it works

Brief the display in plain language — sector, product, format, materials, mood. The render comes back in under a minute. Review it, iterate if needed, then share the final render directly with the manufacturer of your choice. We don't gate the handoff: the share link is yours.

Frequently asked

What weight rating do cardboard FSDUs handle?

A standard 600x400mm double-wall FSDU comfortably holds 30-50kg of product. Heavier loads (full bottles, spirits 6-packs) need either reinforced corner posts, internal metal frames, or stepped-up flute construction. Always validate at white-card sample stage.

How much does a cardboard FSDU cost?

Standard 600x400mm FSDUs run $50-$150 per unit in 500-2,000-unit production runs. Larger half-pallet or full-pallet units run $80-$250. Bulk orders (5,000+) drop unit cost by 30-40%. Excludes retailer space fees and shipping.

How long does production take?

From approved render to dock: 3-6 weeks for a standard corrugated FSDU. Bottleneck is usually the sample sign-off cycle (1-2 weeks of internal stakeholder review), not the printing itself. Pre-approved templates can ship in 2-3 weeks.

Do I need CAD before quoting?

No. A written brief plus a concept render is enough for most beverage POP manufacturers to quote. CAD comes from the manufacturer after concept approval. Generating the render in this tool replaces the 1-2 weeks a manufacturer would otherwise spend producing a concept proposal.


Design yours now — free trial

Related guides

Cardboard Displays for Beverages — Concept in Seconds With AI