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https://store-images.s-microsoft.com/image/apps.57653.c33292a4-0efd-4088-a277-7167090f8149.db7d09ee-f0b3-48e4-ba00-b3ffb58e3e78.febb30be-506b-47b2-932d-64bf04b636da

LTIMindtree Data & AI Market AI : 8 Weeks Proof of Concept

LTIMindtree Limited

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

At a glance

https://store-images.s-microsoft.com/image/apps.21391.c33292a4-0efd-4088-a277-7167090f8149.db7d09ee-f0b3-48e4-ba00-b3ffb58e3e78.735fb43c-d8ee-4c42-9a93-d387c49daf64
https://store-images.s-microsoft.com/image/apps.17547.c33292a4-0efd-4088-a277-7167090f8149.db7d09ee-f0b3-48e4-ba00-b3ffb58e3e78.cbb7786a-6530-4742-9e7e-c7bfa3dcfcf0
https://store-images.s-microsoft.com/image/apps.37859.c33292a4-0efd-4088-a277-7167090f8149.db7d09ee-f0b3-48e4-ba00-b3ffb58e3e78.b3a334b0-682a-486b-9a84-34964c5c2a22
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