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Orthopaedics
Production & 
OTIF Intelligence

Peraison partnered with Zimmer Biomet to strengthen orthopaedics manufacturing performance and delivery reliability through real-time production and OTIF analytics.

Leaders previously lacked hour-by-hour visibility of output against plan, which meant constraints and shortfalls were often identified only after they had escalated. OTIF investigation also relied on fragmented data and manual spreadsheets, making it slow to pinpoint where delays were occurring, which work centres were driving missed performance, and how backlogs were building.

 

Peraison introduced live dashboards that now anchor the plant’s daily operating rhythm, giving engineers rapid visibility of whether production is on track and where bottlenecks are forming. In parallel, we delivered structured OTIF analytics that lets teams explore performance from plant-level KPIs down to individual batches, highlighting late completions, constrained work centres, and upcoming due-date risk.

 

The result was faster decisions, reduced downtime, and earlier intervention to protect on-time delivery in a high-responsibility orthopaedics manufacturing environment.

Customer Story
Stronger on-time delivery performance through early visibility of bottlenecks & backlogs

Real-time production and OTIF views provided earlier warning of delivery risk, enabling faster action to protect customer commitments.

Higher throughput & improved utilisation by reducing unplanned downtime

Hourly visibility enabled quicker intervention on emerging constraints and reduced unplanned downtime, helping production stay on plan.

Faster root cause & more targeted improvement activity with less manual effort

Teams could monitor OTIF across the hierarchy and drill down to batch and work-centre level without spreadsheet-heavy investigation, improving focus in daily stand-ups and enabling targeted performance improvement.

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Modern Data Solutions for 
pharmaceuticals & Biotech

Accelerating Pharma & Biotech With Data & AI

  • Bring together research and laboratory data with scientific knowledge to prioritise targets and make faster go or no-go decisions. Enable teams to compare results across studies, reduce duplication, and collaborate with confidence, cutting time spent reconciling inputs and accelerating progression from discovery to development.

  • Improve trial feasibility, site selection, enrolment, and delivery by combining operational data from start-up, monitoring, and site performance. Link clinical, patient-reported, imaging, and real-world data to strengthen evidence, shorten timelines from first patient in to database lock, and improve decision-making.

  • Use patient, investigator, and site data to improve recruitment, retention, and diversity outcomes. Identify drop-off points, optimise outreach and communications, and prioritise sites that deliver. Provide clear performance views that help clinical teams intervene early and keep studies on track across regions.

  • Strengthen data governance, traceability, and audit readiness across GxP processes with controlled datasets and clear lineage. Improve inspection readiness, reduce remediation effort, and support submission-ready reporting by embedding quality checks, validation-aligned controls, and consistent definitions across clinical, safety, quality, and manufacturing data.

  • Accelerate case processing and strengthen safety monitoring with better data quality, automation, and analytics across pharmacovigilance workflows. Integrate safety, clinical, and medical data to support faster triage, earlier detection of emerging issues, and more consistent reporting, while reducing manual effort and operational backlog

  • Improve batch visibility, quality performance, and supply reliability by connecting CMC, manufacturing, and logistics data end to end. Identify drivers of deviations, yield loss, and downtime, strengthen release readiness, and support planning decisions that protect service levels and reduce cost across sites and partners.

  • Build modern data foundations that make life sciences data trusted, governed, and ready for scale. Accelerate cloud and platform modernisation, improve data quality and lineage, and enable reusable data products that support analytics, automation, and AI use cases across R&D, clinical, safety, quality, and manufacturing.

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Curious how we can improve your business's performance?

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