Consumer Packaged Goods, Retail, and Logistics

As consumer expectations shift toward personalized experiences and supply chains face increasing complexity, CPG, retail, and logistics companies are investing heavily in AI, data analytics, and cloud technologies. Infosys, in partnership with Microsoft, empowers businesses in these industries to streamline operations, predict trends, and deliver tailored customer experiences, creating sustainable growth in an evolving landscape.

JG Summit

LEADING DIGITAL TRANSFORMATION ACROSS DIVERSE INDUSTRIES

JG Summit Holdings, one of the Philippines' largest conglomerates, embarked on a large-scale digital transformation across its diverse business units, including real estate, airlines, retail, and digital media.

To achieve this, the company partnered with Infosys on several key initiatives, including the migration and consolidation of its data centers into a unified, cloud-based platform. This transformation streamlined operations, reduced costs, and enabled faster decision-making. Looking ahead, JG Summit aims to align its digital transformation efforts with its environmental, social, and corporate governance (ESG) goals, driving continuous change and growth.

Ingka Group

EMPOWERING EMPLOYEES WITH AI-DRIVEN DIGITAL TOOLS

Ingka Group, IKEA's largest retailer, is transforming its workplace with AI and digital tools to empower its employees and improve operational efficiency.

By partnering with Infosys and Microsoft, Ingka Group accelerates the delivery of digital solutions, streamlining business processes, and ensuring greater flexibility and scalability. The AI-powered tools, built on Microsoft cloud technologies, allow employees to access essential resources faster, boosting productivity and contributing to a more sustainable and accessible IKEA experience for customers.

Leading Global Food and Beverage Company

REVOLUTIONIZING COMPETITIVE INTELLIGENCE WITH MICROSOFT AZURE AI

A leading global food and beverage company struggled with costly and time-consuming lab testing to determine competitor product recipes. To address this, Infosys leveraged Microsoft Azure Machine Learning (ML) to develop models that automatically reverse-engineer product formulations using publicly available data, such as nutrition labels. This AI-driven solution streamlined the process, enabling faster, more accurate investigations and providing a significant reduction in research time.

By incorporating market-share data, the solution also prioritized competitor recipes, delivering actionable insights. The company can now track competitors more efficiently, benchmark against a broader range of brands, and make more strategic decisions for improved competitiveness.

U.S. Transportation Company

GAINING A COMPETITIVE EDGE WITH AUTOMATED PRICING BUILT ON MICROSOFT AZURE AI

A major U.S. transportation company faced issues with overbidding due to manual pricing methods, affecting its profit margins. Infosys implemented an AI-driven solution built on Microsoft Azure, using machine learning to automate price quote generation with historical and third-party data. This approach helped the company transition from simple models to a more accurate, data-driven pricing system.

With the solution built on Azure Databricks, the company improved bid win rates, optimized resource allocation, and increased profit margins. This new capability provided a competitive advantage in the digital brokerage market, and the company is now looking to expand the program and double its revenues.

Global Supply Chain Solutions Provider

REIMAGINING SALES AND MARKETING OPERATIONS

A Fortune 500 global supply chain solutions provider faced challenges with fragmented systems, ineffective lead scoring, and inefficient marketing processes. To modernize, they partnered with Infosys to consolidate data and streamline operations across business units globally.

Infosys implemented Microsoft Dynamics 365 Sales to automate sales processes and integrated Microsoft Power BI for enhanced analytics. With a 360-degree customer view, the solution increased lead generation by 85%, improved operational efficiency by 33%, and provided better decision-making capabilities, creating a flexible and scalable digital enterprise for future growth.