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Unified Finance
& Supply Chain
Forecasting

Peraison partnered with Aspen Pharmacare Europe to improve decision-making across finance, supply chain, and executive teams by creating a single, trusted analytics capability.

Fragmented systems and inconsistent SAP postings were slowing month-end close and forcing heavy manual reconciliation. Limited end-to-end visibility, from plant to warehouse to demand increased stockout risk when demand shifted suddenly.

Peraison delivered a multi-phase capability that unified SAP, supply chain, warehouse, and 3PL data into consistent definitions and controls. Automated reconciliations and variance analysis reduced rework and improved confidence in the numbers. Forecasting and safety stock modelling strengthened planning decisions, reducing exposure to demand volatility. Finally, role-based views gave finance, supply chain, and executives timely, consistent insight.

The result was faster close cycles, improved forecasting accuracy, and a single source of truth that enabled quicker, more confident cross-regional decisions.

Customer Story
65% faster month-end close with materially less manual effort

Delivered a 65% faster close, with some entities finishing 2–3 days earlier and a 70% reduction in manual reconciliation through automated SAP reconciliation and variance workflows. 

40–55% improvement in demand forecasting accuracy

Improved forecasting accuracy by 40–55%, reducing stockout risk and limiting write-offs through better demand forecasting, safety stock modelling, and exception alerts. 

Significant productivity uplift & stronger executive decision speed

Analysts reclaimed 25–35 hours per month by reducing spreadsheet-driven data preparation, while a single source of truth aligned regional and group reporting to accelerate executive decisions.

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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.

Our Pharmaceuticals & Biotech stories & insights

Explore the real‑world impact of our work across pharmaceuticals and biotech, with stories and insights showing how data, AI, and technology deliver measurable outcomes.

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Clinical Trial Onboarding Accelerator

AI-enabled clinical trial onboarding cut CG Oncology’s patient reviews from hours to minutes, automating document ingestion and eligibility assessment to scale trials without added headcount.

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Trusted Reporting & Operational Intelligence

Governed analytics automated Elekta’s finance, compliance and service reporting, meeting global standards, consolidating device logs, enabling predictive maintenance, and providing always-on managed hosting.

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Commercial Master
Data Management

Business-led commercial master data standardised AbbVie’s product and account reporting, improving comparability and speed through exception-led stewardship that sustains accuracy and prevents drift.

Analysis

Orthopaedics Production and OTIF Intelligence

Real-time production and OTIF dashboards gave Zimmer Biomet hourly visibility, pinpointed bottlenecks, reduced downtime, and enabled faster root-cause actions to protect deliveries reliability.

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Multi-Banner Pharmacy
Performance

Unified performance reporting across 40+ multi-banner pharmacies, combining operational and financial KPIs to cut write-offs, lift services revenue, productivity, rebates, network-wide insight.

Curious how we can improve your business's performance?

Get in touch with our team

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