A leading global consumer packaged goods (CPG) company experienced bottlenecks in its new product development lifecycle due to heavy reliance on third-party marketing agencies for concept testing and consumer feedback. These external dependency loops introduced long lead times, increased operational costs, and restricted internal teams from maintaining direct control over early-stage product decision-making.
In-house AI engine for rapid concept iteration
Factored engineered a custom enterprise Generative AI platform that enables product teams to autonomously generate, refine, and validate new product concepts in real time.
The platform streamlines the innovation pipeline by generating targeted product copy, visual concepts, and simulated consumer insights within an intuitive internal application. By bringing concept testing in-house, teams can rapidly evaluate product viability, execute iterations, and make data-backed decisions before committing resources to full-scale agency production.
Enterprise-grade GenAI architecture and integration
The system leverages GPT-based models behind a unified backend API to power multi-modal asset generation and synthetic consumer feedback workflows. Factored initially built a rapid prototype using a lightweight Python framework to validate core user workflows, then refactored and integrated the service directly into the organization’s global enterprise software architecture.
Global adoption across 10+ countries supporting core product categories.
- Eliminated agency bottlenecks by enabling self-service concept creation and instant synthetic feedback for internal teams.
- Accelerated time-to-market by replacing multi-week vendor testing loops with real-time, on-demand iteration.
- Earned enterprise-wide recognition, winning a top global internal AI innovation award for measurable operational impact.
