Producers are shedding important worth in digital part sourcing, not as a result of procurement groups are failing, however as a result of the market typically provides them too little visibility into what a good value really seems like.
Digital part pricing is opaque. Provide threat is rising. Geopolitical stress is rising. Demand continues to speed up throughout automotive, industrial, aerospace, medical system, power, and high-tech markets.
For a lot of producers, this creates a expensive drawback: they could be overpaying for direct supplies with out understanding the place, why, or by how a lot.
On June 23, 2026, at 11:00 AM ET, ARC Advisory Group will host the webinar The Hidden Price of Element Sourcing — and How AI Is Fixing It. Jim Frazer, Vice President at ARC Advisory Group, will sit down with Lytica CEO Martin Sendyk to debate how actual transactional knowledge and agentic AI are altering part sourcing.
Register for the webinar to find out how main OEMs and EMS firms are utilizing sourcing intelligence to scale back overpayment, handle provide threat, and speed up time to market.
Why Element Sourcing Is So Onerous
Digital elements are sourced throughout hundreds of half numbers, permitted vendor lists, altering lead instances, provider constraints, and shifting demand alerts. Even skilled procurement groups typically lack a dependable exterior benchmark exhibiting what comparable firms are literally paying for comparable elements.
That lack of transparency issues.
A couple of cents of overpayment on a single part could seem small. Throughout high-volume applications and huge part portfolios, these variations can grow to be tens of millions of {dollars} in avoidable value.
The problem is not simply negotiating more durable. It’s understanding the place the alternatives are, which elements are mispriced, the place threat is rising, and which sourcing actions ought to be prioritized.
How AI Adjustments the Sourcing Mannequin
Conventional benchmarking typically will depend on provider quotes, historic pricing, inner spend knowledge, and handbook evaluation. These strategies can assist, however they’re often too gradual and too slim for at this time’s electronics market.
Lytica helps producers transfer past handbook benchmarking and opaque pricing by combining proprietary transactional knowledge with AI-enabled sourcing intelligence.
The result’s a shift from reactive sourcing to a extra proactive working mannequin. As a substitute of ready for periodic sourcing occasions or provider renegotiations, producers can constantly consider the place they’re overpaying, the place provider threat exists, and the place sourcing groups ought to focus their consideration.
Agentic AI provides one other layer by serving to sourcing groups transfer from evaluation to motion. It will possibly floor pricing anomalies, determine alternatives, help prioritization, and assist procurement groups act quicker with higher context.
What You Will Be taught
On this webinar, attendees will be taught:
- Why digital part pricing stays so opaque
- How a lot producers could also be leaving on the desk by means of overpayment
- Why handbook benchmarking is not sufficient
- How actual transactional knowledge adjustments sourcing selections
- How agentic AI can help sourcing groups
- How OEMs and EMS firms are utilizing intelligence-driven sourcing to scale back value and handle threat
Register for the Webinar
The Hidden Price of Element Sourcing — and How AI Is Fixing It
Date: June 23, 2026
Time: 11:00 AM ET
Location: On-line
Audio system: Jim Frazer, Vice President, ARC Advisory Group, and Martin Sendyk, CEO, Lytica
In case your group manages a major digital part spend, this webinar will enable you perceive how AI and transactional market knowledge can expose hidden sourcing prices and switch procurement right into a extra proactive system of intelligence.
Register now to order your spot.
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