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Tiger Analytics' Agentic AI solution for Retail & CPG
Tiger Analytics
Unlocking the Next Frontier in Retail & CPG with AI and Azure Agentic Capabilities
Unlocking the Next Frontier in Retail & CPG with AI and Azure Agentic Capabilities
Retail and Consumer Packaged Goods (CPG) companies stand at the forefront of a transformative opportunity—leveraging Azure AI and Agentic AI to deliver hyper-personalized consumer experiences, enhance demand and supply chain planning, drive operational excellence, accelerate product innovation, and fuel sustainable business growth.
How Tiger Analytics' frameworks powered by Azure, can help:
Automation & Insights with Azure AI Services
- Autonomous Agent-Powered Experiences using Azure OpenAI and Azure Functions
- Business Process Automation through Azure Logic Apps and Azure Power Automate
- Query-to-Insight Automation leveraging Azure Synapse Analytics and Azure Data Factory
- Intelligent Search & Summarization with Azure Cognitive Search and Azure AI Document Intelligence
Content & Code Generation on Azure
- AI-Driven Marketing Content Generation (images, videos, text) using Azure OpenAI Studio
- Code Generation & Transformation enabled by Azure Machine Learning and GitHub Copilot on Azure DevOps
Conversational AI Experiences
- Context-Aware, Human-Like Interactions via Azure Bot Service and Azure AI Speech
- Conversational Avatars powered by Azure AI Vision and Custom Neural Voice
Document Intelligence with Azure Document AI
- AI-Powered Document Q&A and Insights
- Automated Contract Generation and Summarization
- Next-Gen Data Management on Azure
Assisted Data Modeling using Azure Purview and Azure Data Studio
- Automated Data Quality and Governance
- Synthetic Data Generation for AI training with Azure Machine Learning
At a glance
https://store-images.s-microsoft.com/image/apps.55921.4b540785-b618-4f18-8cb7-87c6b62e4083.fed61fd9-2b3b-41ae-94d7-d8201d4fb5e0.03d768fb-3287-4fd3-891c-93b527e740fb
https://store-images.s-microsoft.com/image/apps.38982.4b540785-b618-4f18-8cb7-87c6b62e4083.fed61fd9-2b3b-41ae-94d7-d8201d4fb5e0.b361cf97-1fd6-49c5-b88c-028c4085dc1a
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