Logistics & Supply Chain

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Case Study 1: Implement Data Strategy to Migrate to Azure Cloud

Client: Logistics Service Provider

Challenge:

The provider needed a comprehensive data strategy to modernize its IT infrastructure and enhance data analytics capabilities.

Services Provided:

  • Developed a data strategy to migrate existing systems and data to Azure Cloud.
  • Assessed data needs and identified the right Azure services for migration.

Outcome:

  • Improved data accessibility and analytics capabilities in the cloud environment.
  • Reduced IT costs by 30% through cloud optimization.
  • Enhanced operational efficiency with real-time data access.

Case Study 2: Choose Right Azure Services

Client: Supply Chain Management Company

Challenge:

The company required guidance on selecting the appropriate Azure services to support its logistics operations.

Services Provided:

  • Implemented Robotic Process Automation (RPA) to automate the data entry process for loan applications.
  • Developed bots to validate documents and notify applicants of their application status.

Outcome:

  • Conducted a thorough assessment of the company’s requirements and recommended suitable Azure services (e.g., Azure Data Lake, Azure Functions) for data storage and processing.
  • Assisted in designing the architecture for the cloud solution.

Case Study 3: Integrate Azure with Various D365 Applications

Client: Freight Forwarding Company

Challenge:

The company needed to integrate Azure services with their existing Dynamics 365 applications for seamless operations.

Services Provided:

  • Developed integration solutions to connect Azure services with Dynamics 365 Finance and Operations, CRM, and Supply Chain Management applications.
  • Ensured real-time data synchronization between systems.

Outcome:

  • Improved operational efficiency through integrated workflows.
  • Enhanced visibility into logistics operations and data.
  • Streamlined reporting processes across the organization.

Case Study 4: Build Azure Lake

Client: Distribution Center

Challenge:

The center required a solution to store and analyze large volumes of logistics data.

Services Provided:

  • Built an Azure Data Lake to centralize logistics data from various sources, including inventory systems and transportation management systems.
  • Implemented data governance policies to ensure data quality and compliance.

Outcome:

  • Enabled advanced analytics and reporting capabilities on logistics data.
  • Improved decision-making based on real-time insights into operations.
  • Enhanced collaboration across teams with centralized data access.

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