Competitive Insights of Market and Industry Products on Azure: 10 Weeks Implementation

TCS - Data & AI

The services targets Market & Products, Sales foretell, Customer experience, store operations, analytical insights and prescriptive actions.

Competitive Insights of Market and Industry Products service is targeted for customers like Retails business operations from Sales, Store operations, Customer experience, revenue impact, data & AI led actions. © Copyright [2021], Tata Consultancy Services Limited. All Rights Reserved.

Retail ML Models - TCS has a wide range of prebuilt models across the entire retail value chain spanning from Business planning and Support, Procurement, warehousing and distribution, Sales and Service. These models are customized to customers specific needs and data by our Express lab service. Exlabs is a rapid prototyping service that which helps them fail fast and test ideas and concepts in a 30-60-90 day cycles.

This service contains multiple dimensions like consulting, framework, accelerators, integrations, prebuild technical architecture, analytical insights.

The solutions are built levaraging Microsoft Azure based platform solutions like Azure synapse, power platforms, Azure cosmosdb, Azure Data Factory, ADLS, Azure Machine learning which store operations flow on power platforms with automated actions.

A library of retail specific reusable reporting templates based on Power BI enabling quick deployment and customization. These reports are enhanced by our prebuilt analytics models.

Pricing is based on the outcome of assessment which firms up the scope of work. The factors including data volumes and complexity are considered to build solution. Consulting and Implementation services are provided.

https://store-images.s-microsoft.com/image/apps.21069.f739214e-ab72-4969-b72a-1bedc1ee659f.71037931-eab8-4a21-ad3e-cd50d014b4a4.bd5282f6-35d7-4cd1-bbb9-13ef58332a34
https://store-images.s-microsoft.com/image/apps.21069.f739214e-ab72-4969-b72a-1bedc1ee659f.71037931-eab8-4a21-ad3e-cd50d014b4a4.bd5282f6-35d7-4cd1-bbb9-13ef58332a34