AI Assistant for Production-Oriented Sourcing and Smart Matching on a B2B marketplace

Printgo is building a personal AI sourcing assistant designed to support users in production-oriented decision-making processes, where requirements are often ambiguous, incomplete, or technically complex.

Across manufacturing-driven industries, users struggle not because suppliers are unavailable, but because they cannot clearly articulate what they need in a way that production systems can interpret. Traditional marketplaces and RFQ tools assume structured input; Printgo starts from unstructured human intent.

The project focuses on developing an AI system that:

• Understands and structures intent
  Conversationally guides users from vague needs to technically coherent, production-ready specifications.

• Acts as a personal production assistant
  Retains context, preferences, constraints, and prior interactions to support iterative decision-making rather than one-off transactions.

• Enables smart matching as an outcome, not a starting point
  Uses structured intent, capability representations, and contextual constraints to match users with relevant suppliers, tools, or production options.

• Explores human–AI collaboration
  Investigates how users delegate cognitive and technical tasks to AI assistants in early-stage sourcing and production decisions.

Printgo is seeking partners under the MSCA Staff Exchanges framework to collaborate on applied research in conversational AI, intent modeling, decision support systems, and adaptive matching algorithms, with real-world validation across multiple production-oriented domains.

The long-term goal is to establish a scalable, domain-agnostic AI assistant architecture that can support complex sourcing and production workflows beyond any single industry vertical.