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Molslinjen
(
September 16, 2024
)
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Dynamic pricing & demand forecasting
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Use case
Dynamic pricing & demand forecasting
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Context
Molslinjen built an AI-powered dynamic pricing engine and demand forecasting system using Azure Databricks, integrating a custom capacity management module for near real-time data processing. They implemented the solution by combining Azure Service Fabric for centralized data storage, Power BI for real-time analytics accessible to operational staff, and Azure Static Web Apps for a web interface, thereby streamlining pricing, loading, and marketing workflows.
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Models/tools
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Source:
customers.microsoft.comSep 16, 2024
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