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.

Source

MicrosoftProductionEvidence: Medium50/100

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

Time: −50%

Time & speed

Impact: +25%

Catalog median for time & speed deployments: −50% across 295 reported metrics. Compare benchmarks →

Why do we believe this?Outcome claims, sources, and evidence checks

Normalized claim

Time: 50% decrease

microsoft.comMar 6, 2024Blog postInferred claimMedium evidence strength

50% reduction in onboarding time to manufacturing data platform.

Normalized claim

Quantified impact: 25% increase

microsoft.comMar 6, 2024Blog postInferred claimMedium evidence strength

25% increase in average weekly platform usage.

Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks

Customer: Intertape Polymer Group
Provider: Microsoft
Maturity: Production
Linked source: microsoft.com

Sight Machine's Manufacturing Data Platform deployed for unified data ingestion and visualization

Customer identity supportedSource describes one deploymentMaturity supported

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

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.

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

Evidence: Medium50/100Evidence strength