Cost Analysis

Total Landed Cost in Packaging Procurement: Building the Model

Per-unit packaging cost is one variable in seven. A framework for building a defensible total-landed-cost model — components, common gaps, and sensitivity analysis.

On this page 16 sections
  1. 1 The seven cost components
  2. 2 1. Per-unit packaging cost
  3. 3 2. Freight cost
  4. 4 3. Duties and tariffs
  5. 5 4. Storage cost
  6. 6 5. Working capital cost
  7. 7 6. Line efficiency cost
  8. 8 7. Quality and returns cost
  9. 9 Common gaps in TLC modeling
  10. 10 The "supplier quote = cost" error
  11. 11 Inconsistent timeframes
  12. 12 Quality cost under-allocation
  13. 13 Currency exposure
  14. 14 Sensitivity analysis
  15. 15 The deliverable
  16. 16 Source notes

Procurement decisions made on per-unit packaging cost alone routinely produce poor total economics. The variables outside the unit price — freight, duties, storage, obsolescence, capital cost, line efficiency, and quality risk — typically determine whether a sourcing decision succeeds or fails. This article documents the framework for total-landed-cost (TLC) modeling and identifies the gaps most often found in procurement analysis.

The seven cost components

A defensible TLC model addresses each of the following components on a per-unit basis:

1. Per-unit packaging cost

The base supplier quote at the agreed MOQ. Should include all standard fees: setup, plates, color-matching, sample approvals, and any minimum-order surcharges.

2. Freight cost

Container freight (FCL or LCL) plus inland transportation to warehouse. Should reflect realistic timing rather than spot-rate optimism. Per-unit allocation = total freight cost / units shipped.

3. Duties and tariffs

HTS classification matters. Plastic packaging from China currently faces Section 301 tariffs ranging 7.5-25% depending on classification. Misclassification risk is real and creates retroactive liability. Per-unit allocation = duty paid / units shipped.

4. Storage cost

Cost-per-pallet-month at 3PL or warehouse, allocated across inventory lifecycle. For inventory held an average of 60 days, allocation = (pallets used × monthly rate × 2 months) / units shipped.

5. Working capital cost

Cost of capital tied up in inventory from order placement through sale. Allocation = (total order value × cost of capital × average days held / 365) / units shipped.

6. Line efficiency cost

Variable cost driven by packaging quality. Slow seal speeds, rejected materials, and re-runs all add real cost. Documented variation: poor-quality flexible film can reduce line speed by 15-30%, materially affecting filling-line economics.

7. Quality and returns cost

Estimated allocation for product loss, customer returns, and brand damage from packaging failures. Often the most-disputed component but typically the most-undermeasured. Industry benchmarks suggest 0.5-2% of unit value for stable categories, higher for premium or fragile products.

Common gaps in TLC modeling

The "supplier quote = cost" error

The most common error is treating the supplier quote as the cost. In a representative analysis of food-category packaging procurement, the supplier quote averaged 64% of true total landed cost. Freight, duties, and storage averaged 22%; capital and line costs averaged 14%. Decisions made on supplier quote alone systematically underweight non-quote variables.

Inconsistent timeframes

Comparing suppliers requires consistent inventory-lifecycle assumptions. A quote from a domestic supplier with 2-week lead time and a quote from an Asian supplier with 90-day lead time produce different storage and capital allocations even at identical unit prices. Side-by-side comparisons frequently miss this normalization.

Quality cost under-allocation

Quality costs are difficult to quantify and frequently set to zero in TLC models. The economic distortion this introduces is substantial. A quality-driven supplier change that improved line efficiency by 20% in one documented case study saved more annually than the per-unit cost premium of the new supplier — a finding that would have been invisible in a quote-only comparison.

Currency exposure

Multi-currency procurement introduces FX risk. Forward-contract pricing or hedging cost should be incorporated when comparing offshore versus domestic options. Spot-rate analysis at procurement time misses real cost variation across an order lifecycle.

Sensitivity analysis

TLC models should be tested for sensitivity to the variables most likely to vary:

  • Freight cost (sensitive to container shortages, fuel surcharges)
  • Lead time (sensitive to factory and shipping disruption)
  • Demand variation (affects storage time and obsolescence risk)
  • Tariff changes (particularly for offshore sourcing)

A defensible analysis tests each variable across plus/minus 20% of base case and reports the procurement decision's sensitivity to each. Where sensitivity is high, hedging or supply diversification should be considered.

The deliverable

A complete TLC analysis produces a single per-unit number directly comparable across suppliers, with documented assumptions and sensitivity ranges. The goal is decision-readiness: stakeholders should be able to make sourcing decisions on the analysis without further calculation.

The framework above represents the minimum scope of a defensible TLC model. Brands with mature procurement functions extend further into category-specific risk modeling, supplier-resilience scoring, and ESG cost integration. The simpler version, executed correctly, captures the bulk of the decision-relevant variation.

Source notes

Cost component framework drawn from APICS supply-chain body of knowledge and CIPS procurement best-practice guidance. Tariff data current to January 2025 USTR Section 301 schedules. Quality cost benchmarks from ASQ industry surveys 2023-2024.