Table of contents
Guides, research, comparisons, and use cases on electronics sourcing, BOM intelligence, and AI for hardware supply chains, from the team at O2 AI.
11 chapters · 3 parts
I
Guides & reference
01What is supply chain AI?How part-level supply chain AI differs from visibility and planning tools, and why electronics quotes are won at the BOM line.02What is a BOM agent?The AI agent that works a BOM end-to-end: clean, risk-check, source, price, draft, and learn from every outcome.03What is a BOM decision layer?How a decision layer differs from BOM management software and component databases.04Electronic component obsolescence & EOL: 2025 data621,909 parts went EOL in 2025 and 52% had no PCN. What it means and what to do.05Counterfeit electronic components: 2024 dataERAI logged 1,055 suspect counterfeit parts in 2024 (+25%). Which parts, why obsolete lines are worst, and how to screen risk at quote time.06Electronic component lead times: what the 2026 data showsA semiconductor takes ~26 weeks to build before market lead time (ECIA), and 2026 lead times are rising. How to price it per BOM line.07Electronics sourcing & BOM glossaryPlain-language definitions of BOM, MPN, AVL, EOL, PCN, LTB, EMS, and more.
II
Comparisons
08O2 AI vs BOM management softwareHow O2 AI’s sourcing decision layer differs from BOM management software and component databases, and why it complements the tools you already use.09O2 AI vs obsolescence & EOL risk toolsHow O2 AI turns component obsolescence and EOL risk into sourcing decisions at quote time, versus databases that only report lifecycle status and PCN/EOL alerts.
III
Use cases
10O2 AI for EMS quotingO2 AI helps EMS providers and contract manufacturers quote faster from messy customer BOMs: parsing RFQs, scrubbing BOMs, ranking supply, and drafting quotes in 2–6 hours.11O2 AI for distributor RFQO2 AI helps electronic component distributors turn inbound RFQs into won orders: structuring RFQs, ranking inventory fit, recommending pricing and bid/no-bid, and drafting quotes.