Agriculture producer integrates business units and automates operations with Azure AI
A leading multinational agriculture producer partnered with HCLTech to address operational inefficiencies caused by siloed data across three major business units. These data bottlenecks led to higher operating costs and slow decision-making across global supply chain, mining, and corporate/regional operations. Leveraging Microsoft Azure AI, Cloud Scale Analytics, Synapse, Azure Data Lakes Gen 2, and Power BI, HCLTech integrated data sources to enable near real-time insights and automation. This AI-powered platform streamlined global operations, improved delivery cycles by up to 25%, and reduced overall operating costs by up to 20%. The integrated solution created a single source of truth, supporting better strategic decisions and scalability in the agriculture sector.
- Organization
- Leading multinational agriculture producer
- Industry
- Agriculture
- Location
- United States
- Published
- June 2024
Reported outcomes
25%
quantified impactOther quantified impact
Strategic outcomes
Primary read
Use case focus
Showing 3 of 3
- 1Data Integration Across Business Units
- 2AI-Driven Supply Chain and Operations Automation
- 3Real-Time Analytics and Decision Support
- Siloed data across multiple business units caused operational inefficiencies.
- Decision-making was slow due to delayed data integration.
- Higher operating costs from redundant and manual processes.
- Difficulty achieving real-time insights across global operations.
- Implemented Microsoft Azure AI to integrate data from operations, mining, and corporate services.
- Used Cloud Scale Analytics, Synapse, Data Lakes Gen 2, and Power BI for analytics and data visualization.
- Developed near real-time insights to enable quicker delivery cycles and decision-making.
- Used HCLTech expertise for seamless implementation and change management.
- Reduced operating costs by up to 20%.
- Accelerated delivery cycles by up to 25%.
- Enabled real-time, data-driven decision-making across all business units.
- Consolidated data into a single source of truth for better efficiency.
Architecture
Data from operations, mining, and corporate/global services is ingested through Azure Data Lakes Gen 2, processed with Cloud Scale Analytics and Synapse, and visualized via Power BI. Microsoft Azure AI models integrate, automate, and surface insights in near real-time to enable informed decision making and operational automation across the supply chain.
Implementation partners1
Sources & evidence1
The case's original source is still reachable.
- 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.
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