Data Transparency In The AI Age
As artificial intelligence (AI) becomes more embedded in product development and operations, it’s reshaping not just factories, but the relationships between brands and the companies that build their products. In a recent Forbes article, senior contributor and CEO of AI-powered analysis platform Instrumental Anna-Katrina Shedletsky explores how data transparency is becoming a defining force in electronics manufacturing in the AI age. Historically, electronics manufacturing has operated on thin margins and “cost-plus” contracts, giving factories little incentive to share detailed production data. Full transparency can expose efficiencies or issues that brands might use to renegotiate pricing, making manufacturers understandably cautious. As Arch Systems CEO Andrew Scheuermann points out, when margins can be as low as two percent, unrestricted data sharing can feel existential. AI is beginning to shift that dynamic. Brands are investing in large data sets that combine design, manufacturing, and returns information to improve product quality and customer experience. To unlock that value, manufacturers must move beyond one-off reports toward more open, continuous data sharing—forcing both sides to rethink trust, accountability, and partnership models.
The article highlights Logitech as an example of this evolution. Led by global quality and manufacturing head Martin Hess Pedersen, Logitech treats manufacturers as partners rather than suppliers. Contracts share risk, while transparency flows both ways: factories gain insight into consumer sentiment, return rates, and product performance, creating a powerful feedback loop between the factory floor and the customer. AI accelerates this shift by enabling collaborative problem-solving, from temporary, task-specific data use to “closed-loop quality” systems that connect factory data with real-world usage. The payoff is faster innovation, higher quality, and stronger partnerships—driven as much by trust as by technology.
