Should-Cost Modeling in Pharmaceutical Packaging: Ending a Silent Drain on Margins
- The cost of packaging materials in pharma is often overlooked and influenced by supplier quotes.
- This approach ignores key cost drivers and leads to incremental negotiations.
- Should-cost modeling builds transparency at the component level, allowing teams to evaluate trade-offs and unlock potential savings.
May 05, 2026 | Procurement Strategy 6 minutes read
In pharmaceutical manufacturing, packaging materials are often a disguised but high-impact margin killer. Caps, bottles and desiccants must adhere to strict regulatory, stability and safety requirements. However, the cost of these components is rarely looked into with as much detail as APIs or manufacturing processes.
Packaging materials usually account for 25-30% of total cost, but many organizations model them based on supplier quotes rather than true cost transparency. Thus, under the guise of regulatory necessity, avoidable costs quietly erode margins.
Top contributing cost drivers across pharma packaging include:
- Overspecification - Resin grades driven by legacy requirements rather than current functional need
- Specificity – Having a uniform cleanroom molding instead of application of risk-based segmentation
- Diversification - Legacy single-source suppliers with limited market competition due to rigidity
- Redundancy - Redundant validation and stability testing triggered by minor design changes
In isolation, these decisions appear justified and risk averse but collectively, they create a high structural cost benchmark that a traditional procurement approach would struggle to challenge.
This is where adapting should-cost modeling changes procurement’s approach and improves results.
The focus shifts – instead of asking “What did the supplier quote?”, the should-cost model asks:
“What should this fully compliant component truly cost if designed, produced and sourced optimally?”
Moving Beyond Price Negotiation
In traditional procurement, the baseline is developed by negotiating against market-quoted prices. However, this approach ignores key cost drivers:
- Choice of polymer grade for bottles and caps
- Desiccant format choice (canister vs. sachet)
- Stability testing cycles and validation procedures
- Logistics for storage, sterilization and humidity control
Without depth and transparency into these drivers, negotiations typically deliver nominal and incremental gains.
Should-cost sourcing builds transparency at the component-level across design, materials, processes and compliance, allowing teams to evaluate trade-offs before costs are locked in as standard.
This approach moves procurement organizations across varied geographies, into design and specification decisions (upstream) and into economics of the supply chain (downstream).
Traditional Sourcing | Should-Cost Sourcing |
|---|---|
| Focuses narrowly on supplier quotes and direct material costs | Build transparent cost models across all drivers (design, material, process, compliance) |
| Negotiations are incremental and reactive | Enables proactive trade-offs and predictive insights |
| Cost drivers remain opaque | Provides visibility into resin, tooling, cleanroom and logistics costs |
| Savings are limited and inconsistent | Unlocks 20-40% sustainable savings potential |
Where Packaging Costs Really Come From
The cost breakdown of a representative pharmaceutical packaging component can be visualized as a gap between what companies pay and what the component should cost in optimal conditions.
The breakdown typically looks like this:
Quoted Cost → Design Choices → Manufacturing Structure → Sourcing Constraints → Supply Chain Inefficiencies → Theoretical Minimum Cost
Four Structural Drivers of Packaging Cost
1. Design Choice – Overengineering
Because of past regulatory filings or risk buffers, packaging designs are frequently overengineered. Examples include overly thick walls, conservative tolerances, intricate cap geometries or superfluous barrier layers, all of which raise the cost of tools and resin.
2. Manufacturing Structure
Production inefficiencies like low mold utilization, fragmented strategy for tooling, frequent reorganization or overspecification of cleanroom classifications introduce avoidable overhead into unit costs.
3. Sourcing Constraints
Single-source strategies (high risk), regional supplier tie-ins and narrow cost benchmarking restrict competition and limit access to lower-cost but compliant manufacturing footprints.
4. Supply Chain Inefficiencies
Long and complex transportation routes, specialized warehousing, sterilization handoffs and excessive quality checks add logistics and handling costs that are not visible in component pricing.
By the time these inefficiencies accumulate, final quoted prices can sit 40-80% above the theoretical minimum, even when suppliers operate efficiently within the constraints they are given.
Why Traditional Negotiations Fall Short
Traditional negotiations address only the quoted price. This practice obscures the actual item cost, with the effect that decisions are based on supplier quotes or catalogues.
Should-cost modeling works in reverse, starting with the detailed item cost itself and identifying gaps that can be closed through the following corrective actions:
- Simplification of design
- Process optimization
- Reexamining supplier strategy to diversify supplier base, production methods and material
- Logistics reconfiguration for a varied geographical and regulatory stance
This helps achieve sustainable savings of 20-40%, not through tougher renegotiations, but through eliminating structural costs embedded over years of incremental decisions.
Where the Savings Come From
When businesses apply should-cost principles to a given item or process, savings can emerge from different levers across packaging materials based on the maturity of the procurement organization.
Higher savings often occur when packaging formats or fill-finish strategies change, particularly in vaccine or injectable programs.
Component | Typical Savings Range | Primary Levers |
|---|---|---|
| Desiccants | 20-40% | Shift to sachets, automation in insertion processing, diversified sourcing |
| Caps & Closures | 25-40% | Weight reduction, resin optimization, tooling efficiency |
| Bottles | 15-30% | Material thickness reduction, polymer grade requirements, mold utilization |
| Vials | 30-70% | Format changes, shift to polymer from glass, redesigning fill-finish |
| Overall Packaging System | 15-20% | Logistics optimization, validation streamlining |
Case Study: How Digital Tools Accelerate Savings
A global pharmaceutical manufacturer achieved 8-12% cost reduction within 9 months across closures and desiccants using a structured should-cost program.
What enabled this cost reduction was not only methodology, but digital tooling, including:
- Parametric cost models linking resin prices, cycle times and tooling amortization to unit cost
- Design-to-cost simulators to test geometry and material changes before re-validation
- Benchmark databases across multiple regions to validate supplier assumptions
- Scenario modeling to compare sourcing and qualification strategies
These tools allowed procurement, engineering and quality teams to jointly evaluate trade-offs and accelerate approvals, avoiding typical delays associated with packaging change controls.
Platforms that combine cost benchmarks, supplier intelligence and sourcing workflows can further compress time-to-value by embedding should-cost insights directly into RFQ and negotiation cycles.
Also Read: Global Pharma Giant Doubles Packaging Savings With GEP’s Category Expertise
Why Implementation Often Fails
The biggest challenge to should-cost success is rarely technical capability. It’s organizational resistance to change.
Achieving sustainable results requires:
- Developing and complying with governance frameworks that refresh models with market data regularly (for items such as resin, energy or sterilization)
- Consistent cross-functional synergy and adoption across procurement, R&D, quality and regulatory
- Executive buy-in and communication to treat should-cost as a critical core capability rather than a one-time initiative
Without this structure, even strong models of risk can quickly become outdated as market conditions and specifications evolve.
The Next Frontier: Digital Cost Intelligence
Should-cost modeling is rapidly moving beyond computational spreadsheets. AI with emerging capabilities helps improve accuracy and adaptability, with the following examples a small precursor to the massive upcoming overhaul:
- AI-driven analytics to forecast volatility, especially in resin and energy markets
- Digital twins that can simulate packaging lines and throughput constraints to assess process stress adaptability
- Cost prediction engines to help in identifying margin erosion before contract renewals
These initiatives are transforming cost management from a reactive, historical analysis into a continuous mechanism to support decisions that is embedded directly into sourcing and design workflows.
Beyond Cost: Strategic and ESG Advantages
Beyond savings, systematic cost modeling also delivers on broader strategic and futuristic benefits:
- Risk mitigation - Supplier and material diversification
- Compliance - Assurance through structured, auditable decision logic
- Innovation - Enablement by early quantification of cost impacts of new formats
- Sustainability - As lightweighting, resin optimization and reduced material usage simultaneously lower both cost and carbon footprint
These benefits are becoming more and more important as pharmaceutical packaging moves toward lightweight, recyclable shapes due to ESG obligations. According to market research, sustainable pharmaceutical packaging is expected to expand at a compound annual growth rate (CAGR) of more than 15% until 2032, highlighting the necessity of striking a balance between innovation, compliance and cost competitiveness.
Why Leading Pharma Companies Partner With GEP
Forward-looking organizations are investing in cost-modeling platforms that combine:
- Proprietary cost benchmarks across 60+ global markets
- Component-level parametric models for regulated categories
- Integrated supplier intelligence and qualification insights
- Scenario-based decision support embedded directly in procurement workflows
GEP’s should-cost frameworks for bottles, caps and desiccants help companies identify cost drivers that remain invisible in traditional RFQs - while maintaining full traceability required for regulatory review.
This enables procurement teams to move from negotiating prices to engineering cost competitiveness into a packaging strategy.
What You Should Do Now
Organizations seeking to unlock packaging cost transparency should:
- Map true packaging cost composition, including compliance and logistics
- Prioritize components with rigid design or sourcing structures
- Align procurement, R&D, quality and regulatory teams early
- Deploy digital should-cost tools for scenario testing
- Establish governance frameworks to keep cost models current
Final Thought
Although it may not be life-changing like the medication it contains, pharmaceutical packaging is essential to product performance, cost structure and regulatory compliance. Should-cost modeling transforms bottles, caps and desiccants from static line items into strategic levers for supply resilience, sustainability and margin improvement. The question isn’t whether packaging costs can be optimized, but rather whether businesses can afford not to, given achievable savings of 20–40%, improved supply continuity and quantifiable ESG advantages from lower material and carbon intensity.
