TCS
AI Implementations & Use Cases
Hyperscaler mix
Filter TCS's implementations by Microsoft, AWS, or GCP provider evidence.
How TCS builds AI
Build / Buy / Compose across this partner's documented cases
8 of 10 cases classified (80%) · Compare all use-case types
Reported outcomes
3 cases report measurable results
+99%
Time & speed
median · 1 metric
+90%
Quality & accuracy
median · 1 metric
+900%
Productivity & throughput
median · 1 metric
Medians of results published in TCS cases, normalized for comparability. See all benchmarks →
Evidence persistence
6 of 7 judgeable cases are still publicly referenced · 5 show the organization expanding AI use · 1 lost their public footprint.
Durability of public evidence, not whether systems remain in production. How this is measured →
All Use Cases (10)
Morrisons: real-time demand forecasting and customer Product Finder using BigQuery, Vertex AI, Gemini
Morrisons, a UK supermarket chain, moved data from an on-premise stack to Google Cloud so its teams could access business data in near real time instead of waiting for daily exports.The company also built a customer-facing Product Finder in its app to help shoppers locate products in store by aisle and shelf position, using cloud data and generative AI.
MicrosoftMicrosoft Azure Copilots Transform Manufacturing Processes
TCS has introduced personalized industry copilots leveraging Microsoft Azure for the manufacturing sector. The copilots target key manufacturing personas such as Plant Operators an...
Bridgestone EMIA overhauls ERP and boosts supply chain agility
Bridgestone EMIA, a global leader in tyre manufacturing and mobility solutions, undertook an ambitious modernization of its ERP landscape, migrating to SAP S4/HANA hosted on Microsoft Azure. Led jointly by the CIO and CFO, the initiative aimed to establish a unified digital backbone integrating 42 business entities across 26 countries. Implementation phased from 2019 to early 2024, interrupted but not derailed by the COVID-19 pandemic.The transformation focused on breaking down data silos, improving master data management, and creating agile, data-centric workflows. Specialist provider Syniti was brought in to streamline and ensure the accuracy of migrated data. TCS supplied a private Azure environment and supported the technical rollout.ERP modernization enabled enhanced cybersecurity, analytics capabilities, adoption of Microsoft PowerApps to democratize technology, and integration with treasury systems.As a result, Bridgestone EMIA achieved a 90% improvement in master data accuracy, accelerated inter-company rebilling, improved reporting and forecasting, and laid the digital foundation for an Industry 4.0 roadmap with plans for virtualization and edge computing.The project also catalyzed organizational change in digital leadership, business partnering, and claim of innovation responsibility by IT across business functions.Ongoing improvements include data governance and new capabilities for cross-company reporting, Capex reporting, and price setting as the organization aspires towards real-time insights and predictive modeling.
MicrosoftHilti, JFE Steel, and South32 transform core business operations with SAP on Azure
Microsoft and SAP have enhanced their long-standing partnership by jointly enabling AI innovation and process transformation for enterprises worldwide. Through integration of SAP Business Technology Platform (BTP), SAP Joule, and Microsoft 365 Copilot—combined with Power Platform and Azure OpenAI Service—customers accelerate SAP workload migrations, deploy AI assistants, and automate business workflows across finance, supply chain, and HR. Major global industrial and mining companies, including Hilti Group (construction), JFE Steel (manufacturing), and South32 (mining/resources), migrated complex SAP landscapes to Azure, achieving rapid business transformation with integrated AI and automation.The collaboration enables organizations to unify data from SAP and Microsoft 365, build custom Copilots using Copilot Studio, and leverage SAP data in Microsoft Teams and Power BI. Security Copilot helps detect and remediate SAP-related cyberthreats. Expanded SAP BTP regional availability boosts data sovereignty and compliance. The article provides real project results, case studies, and tested enterprise benefits enabled through Microsoft-powered SAP migrations.
KUKA and Schneider Electric accelerate industrial transformation with AI-enhanced manufacturing
This use case highlights how KUKA and Schneider Electric transformed manufacturing operations by leveraging advanced Microsoft technologies. At Hannover Messe 2024, they showcased real-world implementations of AI, IoT, and cloud technologies across the factory value chain—from accelerating robot programming to unifying IT and OT data. By employing solutions such as Azure OpenAI Service, Microsoft Fabric, Copilot, and Microsoft Cloud for Manufacturing, they improved quality, resource optimization, employee enablement, and sustainability across manufacturing functions. Multiple partners, including Hexagon, NVIDIA, PTC, and Rockwell Automation, collaborated to deliver intelligent, resilient, and sustainable operations. The demonstration included customer showcases such as BMW Group and addressed pressing manufacturing challenges, including rapid product development, issue resolution, and supply chain resilience.Innovations included new Copilot tools for factory operations, Dynamics 365 Field Service enhancements, and next-gen analytics in Fabric. The initiative demonstrated reduced development cycles, improved technician workflows, and smarter, data-driven decision making.This enabled factories to accelerate programming of industrial robots, apply AI-driven analytics for proactive maintenance, and optimize end-to-end operations. Enhanced employee productivity was achieved through AI-augmented tools like Copilot and Power Platform, extending benefits across HR, field service, and production. Sustainability was also addressed with Microsoft Sustainability Manager, helping organizations monitor and reduce environmental impacts through data and AI-driven insights.Over 130,000 attendees at Hannover Messe experienced nearly 40 live demos and presentations on these AI-powered manufacturing solutions. The showcase illustrated the power of collaboration among manufacturers, technology partners, and Microsoft, making a strong case for AI as a key enabler of industrial transformation.
Siemens, TCS, and Sight Machine accelerate industrial manufacturing with AI-driven transformation
Microsoft partners including Siemens, TCS, and Sight Machine have leveraged Microsoft's cloud, data, AI, and IoT technologies to drive a wave of transformation in global manufacturing.At Hannover Messe 2024, partners showcased how Microsoft Cloud for Manufacturing, Azure OpenAI Service, Microsoft Fabric, Dynamics 365, and Azure IoT Operations are being used to enable intelligent factories, generative AI copilots, predictive maintenance, and real-time digital twins.The initiatives target challenges such as operational efficiency, sustainability, workforce empowerment, quality, and supply chain resilience across shop floors and manufacturing plants worldwide.Manufacturing customers collaborate with partners to accelerate innovation in engineering, improve quality and resource utilization, and deploy data-driven digital transformation solutions at scale.Solutions highlighted include live 3D factory simulation, digital thread for product lifecycle visibility, generative AI copilots to assist engineers, and integrated supply chain and planning systems.The deployment brings enhanced employee productivity, operational agility, increased uptime, optimized supply chains, and the operationalization of sustainability programs.Notable results include real-time plant data use, 10X improvements in planning and decision making, and AI-driven productivity increases for engineers and technicians.Siemens launched its Industrial Copilot for the shop floor.Other partners, such as TCS and Sight Machine, contributed advanced analytics for production and global data optimization for plant operations.
Microsoft AI in Healthcare Denial Management
At HIMSS24, Microsoft showcased how healthcare partners are leveraging AI to enhance operational efficiency and patient outcomes, focusing on denial management and care coordinatio...
TCS ensures responsible AI implementation for enterprises
TCS offers Responsible AI (RAI) Assessment services, assisting organizations with Azure OpenAI solutions to ensure ethical, secure, and responsible use. The growing use of Generati...
MicrosoftSupply Chain Leaders Improve Logistics Agility and Automation
The Microsoft Supply Chain Platform offers an open, composable solution that enables organizations to harmonize disparate supply chain data and unlock new insights. By integrating Azure, Dynamics 365, Microsoft Teams, Power Platform, Dataverse, and Supply Chain Center, customers gain enhanced supply chain visibility and real-time collaboration. The platform supports native integration with existing ERP and legacy solutions, with automation capabilities for order fulfillment, predictive analytics for supply constraints, and AI-powered workflows. Early adopters such as C.H. Robinson, FedEx, FourKites, and Overhaul are leveraging these capabilities. Global consulting partners like Accenture, Avanade, EY, KPMG, PwC, and TCS facilitate implementations and domain expertise. The system's modularity enables organizations to extend ecosystem solutions, anticipate disruptions, and reduce manual effort, driving both agility and sustainability.
MicrosoftDaimler Trucks, iFit, and Kraft Heinz Boost Supply Chain Agility and Sustainability
The Microsoft Supply Chain Platform enables organizations like Daimler Trucks North America, iFit, and Kraft Heinz to tackle complex supply chain challenges by integrating fragmented supply chain data across legacy systems. The platform leverages a composable approach, combining Azure, Dynamics 365 Supply Chain Management, Microsoft Teams, Power Platform, and Dataverse to improve visibility and orchestrate actions across all supply chain touchpoints.Partners including Accenture, Avanade, EY, KPMG, PwC, and TCS contributed industry expertise and solution integration.The adoption of the Microsoft Supply Chain Center, a command center that harmonizes multi-system data, facilitates AI-powered demand insights and intelligent fulfillment automation, supporting proactive, data-driven decision making.Real-world implementations delivered end-to-end visibility, risk mitigation, sustainable supplier selection, and optimized inventory allocation, supported by advanced Azure AI models.Customers reported improved transportation cost optimization, real-time supply chain collaboration, and operational efficiencies that foster high agility and sustainability.Microsoft's solution is extensible, enabling connections with external partners for order and logistics modules, and leverages Teams for real-time supplier engagement.