Transform your consumer goods business at rapid scale with generative AI
Overview
Gain customer trust with generative AI
Between inflation, sustainability demands, regulatory compliance and supply chain resilience, the challenges facing consumer-packaged goods (CPG) companies can be overwhelming. To maintain a competitive advantage, companies must rethink their business models through the lens of digital transformation.
IBM can help consumer goods companies improve consumer experiences, optimization and profitability, with new technologies that address:
- Consumer demands
- Workplace safety
- Agile operations and supply chains
- Resilient, cost-effective and sustainable business models
- Forecasting to make better business decisions
Learn how IBM’s artificial intelligence solutions can help the consumer goods industry.
Use cases
Business priorities
Application modernization
Learn why AI is essential to transforming application modernization for consumer goods and how to meet aspirations that might have previously seemed unthinkable by combining traditional and generative AI. Discover how to simplify application modernization and IT operations, enabling greater agility, efficiency and innovation across your organization.
Unlock AI insights and securely run gen AI
AI on IBM Z® brings real-time insights by applying machine learning directly to transactional data, eliminating the need for data movement.
Customer experience
Learn how to apply generative AI to delight customers and improve contact center productivity and enrich customer interactions across every touchpoint for more personalized and impactful experiences
Put AI to work for customer service
This guidebook explains how generative AI improves customer service with self-service, productivity gains and experiences.
Human resources
Learn how to use AI to enhance HR processes. Improve employee experience and drive outcomes in areas such as skills development, employee communications and process management and automate to increase efficiency across HR operations.
Estimate your watsonx® ROI
IBM tool estimates HR gains from AI, including productivity boosts, cost savings and efficiency improvements.
Supply chain
Learn how generative AI can accelerate the pace of discovery, leading to new sources of product and service innovation. Discover how to prepare for your supply chain transformation journey and transform supply chain workflows for greater agility and efficiency.
Put AI to work for supply chain
Executives say that generative AI will optimize inventory by predicting demand patterns and guide supply chain transformation readiness.
Case studies
Proven outcomes across consumer goods
Samsung Electronics
A multinational consumer appliance and electronics corporation launches a new digital sales platform with IBM Consulting®. To overcome fragmented systems, it unified multiple e-commerce sites into a single platform, improving agility, simplifying management and delivering a more seamless, responsive customer experience.
113%
increase in B2C e-commerce revenue from USD 155 million to USD 330 million in the first year
Relevant products
AI can transform consumer industries by improving predictions, supply chains and personalized marketing for efficiency.
Plan retail profitability with TM1, simulate scenarios and boost decisions by using intuitive interfaces and gen AI support.
Apply the power of AI and the speed of automation to improve supply chain management, resiliency and sustainability.
Improve customer experiences, boost lead generation and drive e-commerce with powerful AI assistants.
Relevant services
Deliver experiences and products that create more valuable relationships with consumers while improving sustainability and profitability.
Leading the way in generative AI with over 75 K trained consultants, IBM helps businesses scale trusted AI and drive transformation.
Reimagine business operations with agentic AI to improve efficiency, resilience and smarter decision-making.
Accelerate your cloud and AI transformation with IBM’s consulting and technology services.
Resources
