Abstract
Some product design processes can involve time-consuming and costly manual research for market feasibility analysis, potentially increasing financial risk. A described agentic system is configured to assist in automating this process. The system may include a central orchestrator agent, powered by a large language model, that can receive a product design, such as an image, along with target parameters. The orchestrator can then invoke specialized services and parallel retrieval-augmented generation tools. These tools are configured to query distinct knowledge bases to gather data on topics such as market trends, competitive pricing, cost of goods, and supply chain logistics. A financial modeling component can consolidate this information to generate a feasibility report. The system may provide designers and businesses with data-driven insights, for example, financial projections, demand forecasts, and supplier recommendations, which can help reduce the time and cost for validating new product concepts before production.
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Recommended Citation
Aggarwal, Ankit and Dhanuka, Piyush, "Coordinated Agent System for Automated Market Viability Assessment of Product Designs", Technical Disclosure Commons, (October 22, 2025)
https://www.tdcommons.org/dpubs_series/8764