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Perrigo

Updating the operating model

Industry
Pharmaceuticals
Public information as of
January 2026

A4BEE prepared this analysis from publicly available sources. It reflects our own reading of Perrigo's published strategy and is not endorsed by, or produced in cooperation with, Perrigo. Company website

Strategic priorities

Perrigo operates across 4 stated priorities, with the most concrete near-term plan anchored on one perrigo systems consolidation.

Simplifying the operating model, IT systems, and supply chain to accelerate decision-making and eliminate "Excel Islands" through unified enterprise architecture.

Rebuilding gross margin through manufacturing modernization, capacity expansion, and $240 million in targeted manufacturing investments.

Scaling "more molecules, at more price points, to more consumers" by reducing time-to-market and use consumer insights for high-growth brands.

Challenges we see

  • Operations Manufacturing

    Production Variability & Scrap in Infant Formula

    The Gateway infant formula plant (acquired from Nestlé for $170M) suffers from chronic underinvestment and process instability, causing high-margin product loss in a business currently under strategic review.

    Q2 2025 recorded $11 million in inventory scrap expense due to "production variability," signaling that OT systems are failing to maintain "Golden Batch" parameters for FDA compliance.

  • Operations Manufacturing

    Legacy Equipment & Unplanned Downtime

    Manufacturing facilities including Allegan, Wisconsin, and Mexico hubs operate legacy machinery in isolation without modern data acquisition (DAQ) layers, leading to unpredictable failures.

    Significant remediation costs ($35M-$45M) for facility issues demonstrate that reactive maintenance cycles are unsustainable as Project Energize reduces headcount by 6%.

  • Digital Integration

    Digital Fragmentation & "Excel Islands"

    With $112 million annual R&D spend, Perrigo's reliance on paper-based or disconnected digital systems in labs creates "broken data chains" between scientists and algorithms.

    Manual data management slows the "sharper execution" demanded by the CEO and holds back the goal of "scaling more molecules" as critical KPIs remain tracked in Excel separate from live process trends.

  • Digital Integration

    System Complexity & Acquisition Technical Debt

    Multiple acquisitions (HRA Pharma €1.9B, Omega Pharma, Ranir, Gateway) have created a patchwork of legacy ERP and MES systems operating on different platforms across regions.

    HRA distributor transition caused organic sales volatility, proving that integration protocols lack the robustness needed for the "One Perrigo" consolidation mandate.

  • Compliance Regulatory

    FDA Compliance & Regulatory Remediation

    Infant formula manufacturing is under intense FDA scrutiny following Warning Letters, requiring demonstrated compliance through validated, digital-audit-ready environments.

    Class-action lawsuits related to "underinvestment" in Gateway facility represent material legal liability and constrain the CEO's three-year strategic plan.

Opportunities, by urgency and business impact

Each bubble is one opportunity, numbered to match the list below. Further right means it bites sooner; higher means a bigger effect on the business. A bigger bubble means a bigger implementation effort.

Source: A4BEE analysis of public sources

  1. Real-Time Manufacturing Process Visibility

    Absence of real-time, sensor-driven process visibility prevents operators from intervening before batches become non-compliant with FDA standards, causing $11M quarterly scrap.

    Deploy Industrial Data Platform with "Golden Batch" monitoring to provide instant deviation alerts and enable proactive process control, directly addressing the scrap problem.

  2. IT/OT System Unification Across Acquisitions

    Disparate legacy ERP and MES systems from HRA Pharma, Omega Pharma, and other acquisitions create data silos that prevent unified visibility and "One Perrigo" execution.

    Build an ontology-driven data platform that normalizes information across all business units, enabling the "systems simplification" mandated by leadership.

  3. Lab-to-Production Data Chain Integration

    The "Scientist-Algorithm Gap" with $112M R&D spend trapped in disconnected systems prevents accelerating "molecule-to-consumer" timelines and creates "Digital Hesitancy."

    Implement Digital Lab solutions to integrate diverse equipment (Beckman Coulter, Roche, Hamilton) into a unified platform, democratizing data and speeding decision-making.

  4. Predictive Maintenance for Asset Reliability

    Legacy machinery operating in isolation without modern DAQ layers leads to unpredictable failures and reactive "remediation" cycles at $35M-$45M cost.

    Retrofit legacy assets with sensor networks to enable predictive maintenance, replacing reactive repairs with condition-based interventions as workforce reduces 6%.

  5. Sustainability & Scope 3 Emissions Tracking

    Net-Zero by 2040 goal requires tracking emissions across entire supply chain, but data is fragmented across hundreds of suppliers and 11 manufacturing nodes.

    Deploy IoT-driven energy monitoring and automated Scope 3 emissions tracking platform to meet sustainability targets and retailer-driven ESG requirements.

What we'd propose

  • Enterprise AI

    Industrial Data Platform for One Perrigo Integration

    Build an ontology-based unified data platform that normalizes information across all Perrigo business units, acquisitions, and manufacturing sites to eliminate "Excel Islands" and enable enterprise-wide visibility.

    • Ontology layer

      A shared semantic model so lab, process, and quality data describe the same things the same way.

      DETAIL

    • Predictive models

      Models trained on the historical data plane that flag deviations before they become scrap.

      DETAIL

    • Decision surfaces

      Single pane of glass that surfaces model output to the right role at the right moment.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Enterprise AI
  • Digital CDMO

    Digital Manufacturing for Golden Batch Process Control

    Deploy real-time process intelligence and "Golden Batch" monitoring across infant formula and OTC manufacturing to eliminate production variability and the $11M quarterly scrap expense.

    • OT/IT convergence

      Pull sensor and controller data off the line into a shared data plane in real time.

      DETAIL

    • Batch intelligence

      Golden-batch comparison and deviation detection running on the same data plane.

      DETAIL

    • Production release flow

      Closed-loop between QA, MES, and ERP so batch record review and release follow the data, not the paperwork.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital CDMO
  • Digital Lab

    Digital Lab for R&D Acceleration

    Integrate laboratory equipment from multiple vendors into a unified digital platform to bridge the "Scientist-Algorithm Gap" and accelerate molecule-to-consumer timelines for Perrigo's $112M R&D investment.

    • Unified data backbone

      Connect instruments and LIMS into a single data spine so QC and CDMO records are queryable across sites.

      DETAIL

    • Paperless workflows

      Move lab execution from paper to instrument-captured records with full audit trail.

      DETAIL

    • Continuous QC release

      Review-by-exception dashboards that flag only the records needing scientist attention.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital Lab
  • Digital CDMO

    Predictive Maintenance & Asset Reliability

    Retrofit legacy manufacturing equipment with modern data acquisition layers to enable condition-based maintenance, replacing reactive remediation cycles and supporting the 6% workforce reduction.

    • OT/IT convergence

      Pull sensor and controller data off the line into a shared data plane in real time.

      DETAIL

    • Batch intelligence

      Golden-batch comparison and deviation detection running on the same data plane.

      DETAIL

    • Production release flow

      Closed-loop between QA, MES, and ERP so batch record review and release follow the data, not the paperwork.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Digital CDMO
  • Enterprise AI

    Sustainability Integration & ESG Compliance Platform

    Deploy IoT-driven energy monitoring and automated Scope 3 emissions tracking across Perrigo's global supply chain to achieve Net-Zero by 2040 and meet retailer sustainability requirements.

    • Ontology layer

      A shared semantic model so lab, process, and quality data describe the same things the same way.

      DETAIL

    • Predictive models

      Models trained on the historical data plane that flag deviations before they become scrap.

      DETAIL

    • Decision surfaces

      Single pane of glass that surfaces model output to the right role at the right moment.

      DETAIL

    • Shorter lead time from data capture to decision.
    • Records that audit on their own, not on inspection day.
    • Scale without adding the same headcount.

    We've done this before

    See how we do Enterprise AI

Digital maturity: today and target

Scored out of 100 across six dimensions. The target is what Perrigo's own published ambition implies — not a perfect score.

Source: A4BEE analysis of public sources
Data Integration 25 → 80
Fragmented "Excel Islands" and siloed IT/OT environments across acquisitions prevent unified visibility required for "One Perrigo"
Process Automation 35 → 85
Manual processes dominate with paper-based lab workflows and reactive maintenance; 6% headcount reduction requires automation
Real-Time Analytics 20 → 90
Critical KPIs calculated post-experiment via Excel; no real-time "Golden Batch" monitoring causing $11M quarterly scrap
Equipment Connectivity 30 → 85
Legacy machinery operates in isolation without DAQ layers; heterogeneous protocols across 11 plants prevent centralized control
Regulatory Compliance 45 → 95
FDA Warning Letters and remediation costs indicate compliance gaps; need digital-audit-ready manufacturing environments
Sustainability Tracking 25 → 80
Net-Zero 2040 goal requires Scope 3 tracking across hundreds of suppliers but data collection remains manual and fragmented

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This is an independent analysis prepared by A4BEE from publicly available information as of January 2026. It reflects A4BEE's own interpretation and opinion, is not affiliated with, endorsed by, or verified with Perrigo, and may be incomplete or inaccurate. All company names and trademarks are the property of their respective owners. To request a correction or removal, contact [email protected].