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Infosys Research Reveals that 55% of AI Use Cases in the Consumer-Packaged Goods Sector are Generating Business Value

Infosys has published new research, the AI Business Value Radar: CPG Edition, examining how companies in the Consumer-Packaged Goods (CPG) sector are using AI to boost innovation, improve efficiency and build stronger customer relationships.

While many CPG companies are still early in their AI journey, the report outlines areas where momentum is building, and where more focus is needed.

The report found that 55 percent of AI use cases in CPG are already generating tangible business value and in areas like personalized product development, demand forecasting, smart packaging, loyalty optimization and optimizing pricing strategies to maximize margins.

AI is also beginning to shape how CPG companies think about sustainability. From packaging design that reduces waste to QR code enabled labels that give consumers real-time product insights, the role of AI is expanding across the full product lifecycle.

AI use in product development is also proving to be one of the most viable paths for CPG firms, with high returns in both innovation and market responsiveness. Cash flow forecasting is another area gaining traction, with companies using AI to model supply chain scenarios and manage capital more precisely.

Loyalty program optimization is also showing measurable value, particularly where companies can use AI to deliver more relevant incentives, reduce churn and maximize return on spend. These use cases are succeeding because they combine strong data foundations with clear alignment to business goals.

The report outlines a clear set of priorities for companies looking to build on their early AI investments:

  • Foundation first, scale later. Assessing transformation readiness and evaluating data infrastructure, architecture and operating models to identify gaps before scaling AI.
  • Invest where it counts. Reallocating investment towards high-impact areas and use cases with business value.
  • Close the skills gap. Investing in targeted training, change management, cultural readiness and feedback loops to build AI-capable teams.
  • Break down silos. Creating cross-functional teams working towards a shared goal, to bridge the gap between IT and business teams.

While the CPG industry is still finding its footing with AI, the building blocks are starting to fall into place, and the companies that succeed will be the ones that move from fragmented efforts to full-on, coordinated strategies. This means investing not just in the technology, but also in the people and processes that bring it to life.

For more on the AI Business Value Radar: CPG Edition, visit here.