GxP-compliant demand planning with a complete audit trail
Demand OS delivers forecast audit trails for 21 CFR Part 11 compliance, FEFO-aware inventory optimization with batch expiration tracking, and clinical supply scenario planning — without a custom implementation project.
Book a Demo10–20%
Pharmaceutical inventory is typically expired or near-expired without batch-level tracking
Source: IQVIA Supply Chain Report
43%
Of FDA warning letters cite inadequate change control documentation in supply operations
Source: FDA CDER enforcement data
6–8 weeks
Typical go-live time on a commercial product family pilot, including validation support
Source: Perimattic implementation benchmark
Where pharmaceutical demand planning creates risk
Regulatory compliance requirements, batch expiration complexity, and clinical demand variability create planning challenges with consequences that go beyond inventory cost.
Regulatory review requires a complete audit trail
An FDA or EMA inspection expects a documented record of every forecast change, override, and approval decision — with timestamps, user attribution, and the reason for the change. A system that cannot produce this creates regulatory exposure.
Batch expiration makes standard FIFO replenishment wrong
Pharmaceutical inventory is managed on FEFO (First Expired, First Out) logic, not FIFO. Standard replenishment tools that do not account for expiration dates generate orders that can result in expired inventory and write-offs — or, worse, product reaching patients near expiry.
Demand variability in clinical supply is structurally different
Clinical trial demand depends on patient enrollment, protocol amendments, and investigator site behaviour. These are not patterns that historical time-series models can capture — and the consequences of a clinical supply shortage are severe.
Cold chain constraints are not reflected in the plan
When storage temperature requirements limit which DCs or lanes can handle a product, the capacity constraint belongs in the planning model. A plan that ignores cold chain constraints generates recommendations that cannot be executed.
How Demand OS supports pharmaceutical supply chains
Three capabilities that address the audit, compliance, and batch management requirements specific to pharmaceutical and life sciences supply chains.
Full forecast audit trail for regulatory review
Explainable AI logs every forecast value, every model update, every planner override, and every approval with timestamps and user attribution. The audit trail is exportable in a format compatible with 21 CFR Part 11 electronic records requirements.
Learn moreFEFO-aware inventory optimization
Inventory Optimization incorporates batch expiration dates into replenishment recommendations. Lot-level inventory positions are tracked, and the system flags batches approaching expiry thresholds before they become a write-off risk.
Learn moreClinical supply scenario planning
Scenario Planning supports protocol-specific demand models for clinical trial supply. Enrollment ramp assumptions, dropout rates, and protocol amendments can be modelled as named scenarios with side-by-side inventory impact projections.
Learn morePre-Configured for Pharma
The pharma template ships with validation documentation included.
The pharmaceutical template includes pre-configured audit trail settings, batch expiration threshold inputs, FEFO-aware replenishment logic, and cold chain product attribute fields. System validation documentation — installation qualification (IQ), operational qualification (OQ), and performance qualification (PQ) templates — is provided with every pharmaceutical deployment to support your internal GxP validation process.
What pharmaceutical teams see in the first quarter
10–20%
Of pharma inventory at risk of expiry without batch-level tracking in the planning system
Source: IQVIA Supply Chain Report
43%
Of FDA warning letters cite inadequate change control documentation
Source: FDA CDER enforcement data
6–8 wks
Typical go-live on a commercial product family, including validation documentation
Source: Perimattic implementation benchmark
A specialty pharma company passes its first FDA supply chain audit without a finding
The Situation
A specialty pharmaceutical company managing 14 commercial SKUs across 3 cold chain distribution lanes was using a combination of SAP APO and spreadsheets for demand planning. The FDA requested supply chain records during a facility inspection, requiring the company to produce a 24-month history of forecast changes and approval decisions.
What Demand OS Did
Demand OS maintained a complete, timestamped audit log of every forecast run, override, and planner approval across all 14 SKUs. The log was exported in a structured format that mapped directly to the FDA's electronic records request. Batch expiration data was tracked for all lots in the DC and two regional warehouses, with alerts for batches within 90 days of expiry.
The Outcome
The FDA audit resulted in zero supply planning findings. Expiry alerts from the system had already prompted the disposal of 3 near-expiry batches before the inspection, preventing what would have been a documentation issue. The audit trail export took 4 hours instead of the multi-week manual reconstruction the previous system would have required.
Explore Demand OS for pharmaceutical
Explainable AI
Ranked, plain-language factor attribution for every forecast — no black-box model outputs.
Learn moreInventory Optimization
Service-level-driven safety stock that shows the working capital impact of every recommendation.
Learn moreDemand OS vs Blue Yonder
Faster implementation and explainable AI, compared to Blue Yonder's 12–24 month rollouts.
Learn morePharmaceutical demand planning questions answered
Is Demand OS compliant with 21 CFR Part 11 for electronic records?
Demand OS maintains a complete, immutable audit log of all forecast values, model selections, planner overrides, and approval actions with timestamps and user attribution. The log is exportable in standard formats. Customers are responsible for validating the system in their own GxP environment under their specific regulatory framework.
How does Demand OS handle FEFO inventory logic for pharmaceutical products?
Inventory Optimization supports lot-level inventory tracking with expiration date inputs. Replenishment recommendations account for the remaining shelf life of existing batches and flag lots approaching customer-configured expiry thresholds. The system does not replace WMS-level FEFO pick logic but provides planning-level visibility into expiration risk.
Can Demand OS model clinical trial supply requirements?
Yes. Scenario Planning supports clinical demand models with patient enrollment assumptions, dosing protocol inputs, and site-level demand disaggregation. Multiple protocol scenarios can be maintained simultaneously and compared on inventory impact. This is separate from commercial planning and uses independent demand inputs.
How does Demand OS handle cold chain constraints in the supply network?
Cold chain product attributes are configured at the SKU level. The system flags replenishment recommendations that would route cold chain products through non-compliant lanes or storage locations based on the network configuration. Cold chain capacity limits can be incorporated into scenario planning models.
What is the typical implementation timeline for a pharmaceutical pilot?
A pharmaceutical pilot — typically one product family or one commercial line — goes live in 6–8 weeks. The additional timeline relative to other verticals accounts for GxP documentation requirements, system validation support, and the complexity of batch-level data extraction from SAP or Oracle. Full validation documentation is provided.
Ready to plan with confidence?
Talk to a demand planning specialist, see a live demo on your own data, and get a proposal — all in one conversation.