AI WORKFORCE FOR ELECTRONICS OPERATIONS
O₂ works across your emails, BOMs, spreadsheets, and enterprise systems—turning complex electronics operations into coordinated action.
Team Background & Ecosystem
WORKFLOWS
INPUT
Customer emails, RFQs, BOMs, PDFs, spreadsheets, POs, and ERP exports.
OUTPUT
A structured opportunity, project, or order record with missing information flagged.
Illustrative example
INPUT
Product and assembly files, BOMs, engineering requirements, and revisions.
OUTPUT
A product and BOM assessment showing build requirements, readiness gaps, and component risks.
Illustrative example
INPUT
Supply requirements, approved suppliers, supplier responses, and purchasing history.
OUTPUT
A source comparison, purchasing recommendation, and supplier follow-up actions.
Illustrative example
INPUT
Cost estimates, supply terms, customer requirements, and pricing rules.
OUTPUT
A customer quote and order actions prepared for review and execution.
Illustrative example
INPUT
Demand, available inventory, material requirements, capacity, and WIP.
OUTPUT
A production plan showing buildable jobs, shortages, and actions needed.
Illustrative example
INPUT
Orders, shipment updates, service requests, and returned products.
OUTPUT
Coordinated delivery, service, refurbishment, or recovery actions.
Illustrative example
O2 does the thinking before the customer sees a number: which suppliers to trust, what to substitute, how much stock you're sitting on, and whether the deal is worth winning.
From a messy BOM and a pile of supplier quotes to a path you've actually reviewed.
The hard part is done before anyone opens the file, so teams get through more.
Cost, substitutes, risk, and how the supplier tends to behave all shape the number.
Every quote and correction stays in the system and sharpens the next one.
We take research on world models and agents and turn it into software that holds up under real constraints.
O2 Lab
O2 AI is an AI decision layer for hardware supply chains. It turns every RFQ, BOM, supplier reply, inventory signal, and past order into reusable decision intelligence so hardware and electronics teams can source, price, and quote faster with protected margin.
O2 AI is built for hardware and electronics teams that handle RFQs, BOM sourcing, supplier quoting, and distribution, including procurement, sourcing, and sales engineering teams at component distributors, EMS providers, and OEMs.
O2 AI is a decision layer, not a parts catalog or database. Where BOM tools and component databases surface prices, lifecycle status, and availability, O2 turns those signals, together with your RFQs, supplier replies, inventory, and past orders, into recommended sourcing paths, substitutes, pricing, and bid/no-bid decisions, then remembers each outcome to improve the next quote.
Yes. O2 AI is supply chain AI built specifically for electronics: it applies AI to the sourcing, pricing, and risk decisions in the BOM-to-order workflow. Unlike general supply-chain-visibility tools, O2 works at the part level: reading BOMs, RFQs, supplier replies, and inventory signals, and recommending the sourcing path, substitutes, and quote.
O2 normalizes a BOM into structured part intelligence: it cleans MPNs and manufacturers, resolves quantities and alternates, flags lifecycle and end-of-life (EOL) risk, and applies approved-vendor logic. It then ranks sourcing options by price, availability, lead time, and reliability.
O2 ingests emails, BOMs, PDFs, spreadsheets, supplier quotes, inventory sheets, and ERP exports, and converts them into structured opportunity records ready for sourcing and pricing decisions.
Yes. O2 flags lifecycle and end-of-life (EOL) risk on every BOM line, proposes approved alternates and substitutes, and factors obsolescence and inventory exposure into sourcing and pricing decisions, so risk is caught before the quote goes out, not after the order fails. The risk is structural: 621,909 electronic parts went end-of-life in 2025 and 52% shipped with no manufacturer change notice (Z2Data).
Yes. O2 is built for EMS providers, contract manufacturers, and component distributors that quote from messy, inconsistent customer BOMs and RFQs. It parses inbound RFQs into structured records, cleans the BOM, ranks supply, and drafts the customer quote and supplier inquiries.
A BOM agent is an AI agent that works a bill of materials end-to-end: cleaning MPNs, flagging lifecycle and EOL risk, finding approved alternates, ranking supply options, and drafting the quote. O2 AI operates as a BOM agent for electronics teams: it acts on the BOM and learns from every outcome, rather than just storing part data.
O2 moves judgment upstream. Supplier risk, approved substitutes, inventory exposure, cost ranges, and win probability are evaluated before the customer sees a number, which typically yields a 2–5% margin uplift per quote.
O2 reduces time-to-quote to roughly 2–6 hours from messy BOM, RFQ, supplier, and inventory inputs to a reviewed quote path, and lets teams process 3–4× more RFQs because the judgment layer is prepared before review begins.
Book a demo by emailing hello@o2tech.ai with one real BOM, RFQ, or supplier quote. O2 will show how it structures the decision, flags risk, recommends sourcing paths, and learns from the outcome.
Bring one real BOM, RFQ, or supplier quote. We’ll show how O2 structures the decision, flags risk, recommends paths, and learns from the outcome.
