Daimler Trucks, iFit, and Kraft Heinz Boost Supply Chain Agility and Sustainability
The Microsoft Supply Chain Platform enables organizations like Daimler Trucks North America, iFit, and Kraft Heinz to tackle complex supply chain challenges by integrating fragmented supply chain data across legacy systems. The platform leverages a composable approach, combining Azure, Dynamics 365 Supply Chain Management, Microsoft Teams, Power Platform, and Dataverse to improve visibility and orchestrate actions across all supply chain touchpoints. Partners including Accenture, Avanade, EY, KPMG, PwC, and TCS contributed industry expertise and solution integration. The adoption of the Microsoft Supply Chain Center, a command center that harmonizes multi-system data, facilitates AI-powered demand insights and intelligent fulfillment automation, supporting proactive, data-driven decision making. Real-world implementations delivered end-to-end visibility, risk mitigation, sustainable supplier selection, and optimized inventory allocation, supported by advanced Azure AI models. Customers reported improved transportation cost optimization, real-time supply chain collaboration, and operational efficiencies that foster high agility and sustainability. Microsoft's solution is extensible, enabling connections with external partners for order and logistics modules, and leverages Teams for real-time supplier engagement.
- Organization
- Daimler Trucks North America
- Industry
- Logistics
- Location
- United States
- Published
- November 2022
Reported outcomes
Strategic outcomes
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Daimler Trucks North America, iFit, Kraft Heinz
- Provider
- Microsoft
- Maturity
- Production
- Linked source
- blogs.microsoft.com
Customers reported improved transportation cost optimization, real-time supply chain collaboration, and operational efficiencies that foster high agility and sustainability
Primary read
Use case focus
Showing 3 of 3
- 1AI-driven Supply Chain Visibility and Orchestration
- 2Automated Order Fulfillment and Inventory Optimization
- 3Sustainability Management in Supply Chain Operations
- Fragmented and siloed supply chain data across various ERP and custom systems.
- Lack of real-time visibility and agility in responding to disruptions and shifting demands.
- Manual, inefficient order processing and limited automation in supply chain operations.
- High operational costs due to suboptimal inventory allocation and transportation routes.
- Increased need for sustainable sourcing and emissions tracking in supply chain operations.
- Implemented Microsoft Supply Chain Platform integrating Azure, Dynamics 365 Supply Chain Management, Microsoft Teams, Power Platform, and Dataverse.
- Used Supply Chain Center as a command center to harmonize data and orchestrate actions across ERP/supply chain systems, including SAP and Oracle integration.
- Applied Azure AI models for supply and demand insights, predictive analytics, and automated order management.
- Enabled partner integrations (e.g., order management, logistics, freight visibility) for specialized supply chain needs.
- Leveraged Teams for real-time supplier collaboration and Power Platform for custom adaptive workflows.
- Daimler Trucks: End-to-end process efficiency gains and global supply chain optimization.
- iFit: Transportation costs optimized through AI-driven inventory allocation and real-time freight planning.
- Kraft Heinz: Improved risk assessment and opportunity identification, resulting in enhanced product availability.
- All: Increased supply chain visibility, agility, and sustainability across multiple geographies.
- Accelerated decision making and reduced operational bottlenecks in order fulfillment.
Architecture
The Microsoft Supply Chain Platform integrates Azure, Dynamics 365 Supply Chain Management, and Power Platform (including Dataverse) to unify data from ERPs (e.g., SAP, Oracle, Dynamics) into the Supply Chain Center. AI modules process multi-source data for predictive supply and demand insight. Order management modules use a rules-based AI system with real-time inventory and Power Platform connectors for partner technology integration (logistics, order intake, freight planning). Teams is used as a collaboration and workflow engine to engage suppliers and stakeholders.
Sources & evidence2
- Customer explicitly identified
- Deployment status explicitly supported
- Technical implementation details available
- Multiple corroborating sources available
The same organization appears in newer AI deployment evidence.
- Same organization re-documented as recently as 2025.
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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