Side-by-side matrix of up to 4 real packaging & serialization records — the six deterministic scoring engines, capacity & quality metrics and capability, serialization & regulatory matrices, with the best value in each numeric row highlighted.
Scores deterministic, rules-based — not AI. Illustrative data. Organization names are real pharmaceutical packaging / serialization providers; all capabilities, regulatory compliance, certifications, inspection history, capacity and performance figures are synthetic demonstration data — verify directly and via vendor qualification before any sourcing decision.
Packaging capability iHow broad the provider's offering is — how many secondary-packaging, labeling, serialization and tamper-evidence capabilities it runs, weighted by the range of therapeutic areas it serves.
90
72
84
Serialization maturity iHow advanced the provider's serialization and track-and-trace is — unit-to-pallet serialization, aggregation, EPCIS data exchange and DSCSA / EU-FMD compliance.
100
92
100
Regulatory reach iHow many regulatory frameworks and geographic markets the provider covers, plus its GMP, GDP and Annex 1 readiness.
100
67
93
Capacity scale iThe provider's physical scale — annual packaging volume, number of packaging and serialization lines and warehouse (pallet) capacity.
0
0
0
Quality & compliance iQuality-system performance — on-time delivery, lead time, deviation rate, open CAPAs, audit findings and GMP / GDP status.
0
0
0
Technology depth iThe breadth of packaging technologies and security tech the provider runs — authentication, anti-diversion, tamper-evidence and validation support.
100
66
100
Capability scores are a directional starting point, not a verdict. A lower score does not disqualify a company or consultant, and no decision should rest on the score alone — always contact the company directly to confirm the specifics for your project.
Synthetic + historically-framed capability flags · not a vendor-qualification determination — verify directly via on-site GMP audit before any sourcing decision.
ComparingPCISPPDNPcGMPEPCIS
Best in row · deterministic, rules-based — not AI · illustrative seed data