What challenges did Intertape Polymer Group face before AI implementation?

Onboarding employees to complex manufacturing data platforms was resource-intensive and slow. Limited utilization of advanced data analytics platforms among front-line factory workers. Inefficient manual reporting methods led to delays and inconsistent customer experience scores. Siloed data and lack of actionable insights impacted operations.

What was the impact of the AI solution?

50% reduction in onboarding time to manufacturing data platform. 25% increase in average weekly platform usage. Improved customer experience scores with automated reporting and easier data access. Enhanced operational agility and productivity through AI enablement.

Source

Microsoft

Intertape Polymer Group revolutionizes factory operations with AI-powered Copilot solution

Use case typeOnboarding automationUpdated Jun 13, 2026

Intertape Polymer Group (IPG) partnered with Sight Machine to implement a Factory Copilot powered by Azure OpenAI Service, transforming onboarding, data access, and reporting for manufacturing teams. IPG accelerated onboarding to the Sight Machine Manufacturing Data Platform and boosted platform usage by integrating natural language AI capabilities. Front-line workers can quickly access data and generate actionable insights using natural language queries, greatly enhancing productivity and user experience. Automated report generation improved customer experience scores and streamlined operations. The implementation saw a 50% decrease in onboarding time and a 25% increase in weekly data platform usage, showcasing measurable gains from AI-driven automation. The solution highlights how generative AI can reshape manufacturing processes and reporting efficiency.

Organization: Intertape Polymer Group
Industry: Manufacturing
Location: United States
Published: March 2024

Reported outcomes

−50%

timeTime & speed

+25%quantified impact

Strategic outcomes

Customer experience & trustImproved customer experience scoresSpeed & agilityEnhanced operational agilityScale & capacityBroader platform adoption by workersNew product / capabilityAdded natural language data access

Primary read

Use case focus

Showing 3 of 4

1Factory Copilot for onboarding acceleration
2AI-powered reporting and insight generation
3Natural language access to manufacturing data

Onboarding employees to complex manufacturing data platforms was resource-intensive and slow.
Limited utilization of advanced data analytics platforms among front-line factory workers.
Inefficient manual reporting methods led to delays and inconsistent customer experience scores.
Siloed data and lack of actionable insights impacted operations.

Developed Factory Copilot leveraging Azure OpenAI Service for natural language data access and reporting.
Sight Machine's Manufacturing Data Platform deployed for unified data ingestion and visualization.
Integrated Copilot AI for actionable insights and immediate support for front-line workers.
Automated reporting and platform usage analytics.

Technologies

Azure Copilot

50% reduction in onboarding time to manufacturing data platform.
25% increase in average weekly platform usage.
Improved customer experience scores with automated reporting and easier data access.
Enhanced operational agility and productivity through AI enablement.

Architecture

Factory Copilot uses Microsoft Azure OpenAI Service to enable conversational access to Sight Machine Manufacturing Data Platform. Data is processed, queried, and structured by AI, then presented via automated reports and dashboards for actionable insights and rapid onboarding.

Implementation partners1

Sight Machine

Sources & evidence1

Groundedness: 4/5

Primary source

AI-generated summary. Verify important details with the linked sources before relying on this case.

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Customer evidence