NTT DATA announced on June 22 an AI agent service built for early-stage product planning in the food, beverage, and consumer goods industry. The service will be available globally from July 2026, according to the company’s press release.
The service generates structured product concept proposals covering feature design, naming, value propositions, sales forecasts, and visual concept imagery. Outputs are formatted for direct use in business reviews and tailored to each company’s brand guidelines, target segments, and product strategy.
How It Works
The system uses a multi-agent architecture with industry-specific expert agents tailored to CPG planning workflows. It incorporates generative AI, retrieval-augmented generation (RAG), and orchestration across multiple specialized agents. NTT DATA designed the service with controls to keep proprietary company data within each client’s own environment.
The service has been tested with global consumer goods manufacturers in Europe and Japan. Based on those deployments, it includes integrated sales forecasting for early market potential assessment and extensibility to add additional agents for company-specific requirements.
“Product teams are under growing pressure to identify and capitalize on emerging consumer trends faster than current planning cycles typically allow,” said Mizuho Mitake, Head of CPG, Retail & Process Manufacturing, Japan, NTT DATA.
Telecompaper reported that the service can generate product concepts in approximately 150 seconds, compared to the months that traditional early-stage planning typically requires.
Agents in Core Business Workflows
The launch extends a pattern across enterprise IT services: large consultancies and systems integrators are deploying agent architectures into specific vertical workflows rather than selling general-purpose agent platforms. NTT DATA, a $30+ billion business and technology services firm serving 75% of the Fortune Global 100, is positioning the service as a starting point. The company plans to expand it downstream to cover formulation, packaging, and production feasibility.
For agent infrastructure builders, the NTT DATA launch signals that enterprise demand for multi-agent systems is moving upstream into product development and strategic planning, well beyond the customer support and back-office automation use cases that dominated early deployments.