MicrosoftExpanded

Pact Group advances packaging operations with Industry 4.0 automation

Use case typeIT operationsUpdated Jun 13, 2026

Pact Group, a major packaging provider in Australasia, sought digital transformation to drive growth and efficiency. To support its Industry 4.0 ambitions, the company migrated its core SAP platform and over 90% of its workloads to Microsoft Azure, establishing a digital foundation for innovation. Azure provides the backbone for integrations spanning AI, ML, IoT, and enterprise analytics. Pact Group implemented IoT to begin aggregating machine data, enhancing predictive maintenance capabilities and operational insights. Power BI was deployed company-wide to deliver a single source of truth, transforming how employees interact with data and boosting decision-making. The enterprise is piloting bots via Microsoft Bot Framework to automate IT and back-office support, aiming to automate up to 40% of interactions with AI-driven consistency. Safety innovations include intelligent kiosks leveraging visual recognition services for real-time monitoring and compliance. As a result, business processes are faster, safer, and more data-driven, pushing Pact Group to the forefront of digitally enabled manufacturing.

Organization
Pact Group
Location
Australia
Published
November 2017

Reported outcomes

40%

quantified impactRisk, reliability & safety

Strategic outcomes

Better decisions & insightCreated a single analytics source of truthCustomer experience & trustIncreased trust in business dataSpeed & agilityImproved IT system performance and agilityRisk & complianceImproved safety compliance monitoring

Catalog median for risk, reliability & safety deployments: +100% across 56 reported metrics. Compare benchmarks →

Primary read

Use case focus

Showing 3 of 4

  • 1Predictive Maintenance for Manufacturing Equipment
  • 2IoT-enabled Real-time Operational Insight
  • 3Automated Back-office and IT Support via Chatbots
  • Lacked integrated operational insight and predictive maintenance across thousands of manufacturing machines.
  • Needed to transition from legacy, fragmented systems to a scalable, digital-first foundation.
  • Manual data preparation and reporting hampered agility and inhibited data-driven decision making.
  • Back-office and IT support interactions were time-consuming and inconsistent.
  • Safety and compliance monitoring relied on manual workflows, risking efficiency and quality.
  • Migrated SAP platform and workloads to Microsoft Azure for a unified cloud infrastructure.
  • Implemented Azure IoT to collect real-time and historical machine data, enabling predictive analytics.
  • Deployed Power BI company-wide for a single source of analytics truth.
  • Piloted Microsoft Bot Framework-based chatbots to automate IT and business processes and support.
  • Experimented with safety kiosks using AI-driven visual recognition for workplace monitoring and compliance.
  • Significantly improved performance, reliability, and agility of IT systems.
  • Single analytics source of truth increased trust in business data and enabled insight-driven decision making.
  • Operational efficiency gains as people are freed from manual reporting tasks.
  • Pilots anticipate automating up to 40% of back-office interactions and improving safety compliance.
  • Faster time-to-value with new technology rollouts due to Azure ecosystem.
Architecture

Pact Group migrated its core SAP platform and business workloads to Microsoft Azure. Azure provides a scalable foundation for digital transformation, supporting integrated AI, ML, IoT, and automation initiatives. IoT sensors collect machine data, which is aggregated and used by predictive analytics systems. Power BI surfaces insights from this data as the single source of truth across the organization. Microsoft Bot Framework underpins bots that automate IT and support processes. Visual recognition is employed in safety kiosks, combining video streams with AI for compliance monitoring.

Sources & evidence1
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The same organization appears in newer AI deployment evidence.

  • Same organization re-documented as recently as 2026.

Measures whether this deployment's public evidence persists — not whether the system is still in production.

Groundedness: Unavailable

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