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LTIMindtree Data & AI Market AI : 8 Weeks Proof of Concept
Azure Open AI powered Brand and Market Share Analytics Solution for Consumer Product Goods
Introduction
Azure Open AI powered intelligent market share solution for SKU shelf share compliance and occupancy analytics. It is a customizable solution to identify and calculate the share of the target brand’s SKUs visibility on the shelf in a store against the competition.
An Azure Open AI powered Brand and Market Share Analytics Solution for Consumer Product Goods
Key platform features
Plug and Play solution to accelerate your vision-based market analysis needs at every store which brings off-the-shelf features like –
• Reusable feature store
• Reusable data models
• Prebuilt algorithms
• Scalable MLOps and APIs
• Narrative, storytelling, and visualizations
• Threshold-based escalations
• Prescriptive actionable alerts and auto reminders
• Role-based access control
Platform Highlights
Provides high performance and it is an easily deployable platform that enables the following.
• Effort - 80% reduction in time in terms of customization
• Accuracy – 85% baseline accuracy for all models
• Resource – Start generating immediate value with 75% fewer data science resources.
• Feedback – In-built feedback loop for automated re-training of models
• Architecture – Multi-input deep learning model helps reduce the number of models in production by 95% thus decreasing infra cost by 40%
• Latency - Kubernetes-based deployment for reduced latency