Manufacturers are losing significant value in electronic component sourcing, not because procurement teams are failing, but because the market often gives them too little visibility into what a fair price actually looks like.
Electronic component pricing is opaque. Supply risk is rising. Geopolitical pressure is increasing. Demand continues to accelerate across automotive, industrial, aerospace, medical device, energy, and high-tech markets.
For many manufacturers, this creates a costly problem: they may be overpaying for direct materials without knowing where, why, or by how much.
On June 23, 2026, at 11:00 AM ET, ARC Advisory Group will host the webinar The Hidden Cost of Component Sourcing — and How AI Is Fixing It. Jim Frazer, Vice President at ARC Advisory Group, will sit down with Lytica CEO Martin Sendyk to discuss how real transactional data and agentic AI are changing component sourcing.
Register for the webinar to learn how leading OEMs and EMS companies are using sourcing intelligence to reduce overpayment, manage supply risk, and accelerate time to market.
Why Component Sourcing Is So Hard
Electronic components are sourced across thousands of part numbers, approved vendor lists, changing lead times, supplier constraints, and shifting demand signals. Even experienced procurement teams often lack a reliable external benchmark showing what comparable companies are actually paying for similar components.
That lack of transparency matters.
A few cents of overpayment on a single component may seem small. Across high-volume programs and large component portfolios, those differences can become millions of dollars in avoidable cost.
The challenge is no longer just negotiating harder. It is knowing where the opportunities are, which parts are mispriced, where risk is emerging, and which sourcing actions should be prioritized.
How AI Changes the Sourcing Model
Traditional benchmarking often depends on supplier quotes, historical pricing, internal spend data, and manual analysis. These methods can help, but they are usually too slow and too narrow for today’s electronics market.
Lytica is helping manufacturers move beyond manual benchmarking and opaque pricing by combining proprietary transactional data with AI-enabled sourcing intelligence.
The result is a shift from reactive sourcing to a more proactive operating model. Instead of waiting for periodic sourcing events or supplier renegotiations, manufacturers can continuously evaluate where they are overpaying, where supplier risk exists, and where sourcing teams should focus their attention.
Agentic AI adds another layer by helping sourcing teams move from analysis to action. It can surface pricing anomalies, identify opportunities, support prioritization, and help procurement teams act faster with better context.
What You Will Learn
In this webinar, attendees will learn:
- Why electronic component pricing remains so opaque
- How much manufacturers may be leaving on the table through overpayment
- Why manual benchmarking is no longer enough
- How real transactional data changes sourcing decisions
- How agentic AI can support sourcing teams
- How OEMs and EMS companies are using intelligence-driven sourcing to reduce cost and manage risk
Register for the Webinar
The Hidden Cost of Component Sourcing — and How AI Is Fixing It
Date: June 23, 2026
Time: 11:00 AM ET
Location: Online
Speakers: Jim Frazer, Vice President, ARC Advisory Group, and Martin Sendyk, CEO, Lytica
If your organization manages a significant electronic component spend, this webinar will help you understand how AI and transactional market data can expose hidden sourcing costs and turn procurement into a more proactive system of intelligence.
Register now to reserve your spot.
AI Is Reshaping Supply Chain Execution. Here’s What Comes Next.
Two ARC Advisory Group white papers on the next stage of AI in supply chain operations.
AI is moving beyond isolated copilots and technical architecture into coordinated operational decision systems. This ARC Advisory Group white paper explains how supply chain AI is shifting from capability to execution, where context, governance, workflows, thresholds, and action pathways determine whether AI improves real decisions across planning, logistics, sourcing, fulfillment, and risk management.
Download Our Featured White Paper:
AI in the Supply Chain Part II: From Architecture to Execution - Defining the Decision Intelligence Layer in Modern Supply Chain
Download Our Foundational White Paper:
AI in the Supply Chain: Architecting the Future of Logistics with A2A, MCP, and Graph-Enhanced Reasoning
Explore Our Domains
Planning, Execution & Visibility | Transportation & Logistics Operations | Warehousing, Fulfillment & Automation | Global Trade & Compliance | AI & Advanced Analytics | Data, Integration & Interoperability | Supply Chain Platforms | Risk & Resilience | Sustainability & ESG
Independent ARC research for supply chain leaders and technology decision-makers.