Grupo Bimbo streamlines bakery operations with real-time data from factory equipment
Grupo Bimbo, a global baking leader, implemented Azure IoT across its US facilities (Bimbo Bakeries USA) to address the complexities of managing high-volume, perishable baked goods. Previously reliant on manual data collection for quality control, efficiency, and compliance, the organization sought a real-time analytics solution to improve production speed and agility. After piloting solutions from various providers, Azure IoT proved most adaptable—facilitating seamless integration with existing Oracle systems and diverse bakery machinery. The GBConnected solution combined PLC sensors, Azure IoT, Azure Data Factory, Azure Data Lake, and Power BI to deliver machine-level and operational insights direct to factory teams and management. This approach enabled rapid, data-driven decisions, reduced downtime, and significantly improved Overall Equipment Effectiveness (OEE). Comprehensive change management ensured frontline workers could leverage new insights to enhance continuous improvement, further accelerating Grupo Bimbo's digital transformation agenda.
- Organization
- Grupo Bimbo
- Industry
- Consumer & Food
- Location
- United States
- Published
- May 2024
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Grupo Bimbo
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- microsoft.com
The GBConnected solution combined PLC sensors, Azure IoT, Azure Data Factory, Azure Data Lake, and Power BI to deliver machine-level and operational insights direct to factory teams and management
Primary read
Use case focus
Showing 3 of 3
- 1Factory Equipment Telemetry and Analytics
- 2Real-time Production Monitoring
- 3Data-Driven Bakery Operations
- Manual data collection was too slow for perishable goods.
- Needed real-time production analytics to improve quality and efficiency.
- Legacy and diverse non-Microsoft systems slowed data integration.
- Downtime and low visibility into equipment utilization hurt performance.
- Required scalable, flexible analytics for large-scale bakery operations.
- Deployed Azure IoT to connect PLCs and factory equipment.
- Used Azure Data Factory and SSIS Integration Runtime for data orchestration.
- Integrated Azure Data Lake and Azure SQL for consolidated analytics.
- Power BI dashboards provided real-time insights to all staff levels.
- Seamlessly combined data from Oracle with Azure for a unified view.
- Reduced manual data handling and related delays.
- Improved Overall Equipment Effectiveness (OEE).
- Enabled faster, data-driven decision-making at all levels.
- Minimized production downtime through better insights.
- Accelerated digital transformation throughout operations.
Architecture
PLCs attached to bakery equipment collect data (speeds, temps, downtimes). The data flows into Azure IoT Services, orchestrated via Azure Data Factory (SSIS Integration Runtime), then consolidated in Azure SQL and Azure Data Lake. Analytics and dashboarding occur in Power BI, accessible across operations. Oracle database data is blended with Azure-derived telemetry for holistic analytics.
Sources & evidence1
- Customer explicitly identified
- Deployment status explicitly supported
- Primary source available
- Technical implementation details available
- Recent evidence check available
- Last evidence check: Jun 1, 2026.
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
- Cited source last checked Jun 1, 2026 — ok (0/1 broken).
Measures whether this deployment's public evidence persists — not whether the system is still in production.
AI-generated summary. Verify important details with the linked sources before relying on this case.
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