AI-powered procurement for OSAT fabs — from substrates and bonding wire to test sockets and process chemicals.
Outsourced Semiconductor Assembly and Test (OSAT) companies — ASE, Amkor, JCET, and their peers — sit at a critical node in the global semiconductor supply chain. They handle the back-end processes: die attach, wire bonding, molding, and final test. Their procurement environment is uniquely challenging: substrates and bonding wire are commodity-priced but supply-constrained; process chemicals require strict lot traceability; test sockets have high consumable churn rates; and customer-specific AVL requirements must be satisfied across multiple fabless customers simultaneously. Proconomy was built to handle this complexity — giving OSAT procurement teams the intelligence, traceability, and supplier management tools they need to keep the assembly line moving at yield.
These are the procurement problems that cost semiconductor (osat) manufacturers time, money, and compliance risk every day.
When a substrate or bonding wire supplier issues a Process Change Notice (PCN), the OSAT must assess the impact against every customer's qualified Bill of Materials simultaneously. Without a structured PCN workflow, this assessment is done manually — cross-referencing spreadsheets, emailing customer APMs, and tracking approvals in shared drives. A missed PCN notification can trigger customer line stoppages and multi-million dollar claims.
Gold and copper bonding wire, as well as organic substrates (BT resin laminates), are directly exposed to metals commodity markets. Without procurement intelligence tools that integrate commodity price signals into sourcing decisions and LTA negotiations, OSAT buyers lock in contracts at peak prices and miss forward-buy windows — creating avoidable cost overruns that erode already-thin margins.
OSAT material requirements are driven by customer wafer-start schedules — typically shared as rolling 12-week forecasts updated weekly. Without a procurement platform that ingests these wafer-start signals and explodes them through the assembly BOM into material requirements, planners manage demand manually — creating both overstock of slow-moving substrates and emergency shortages of high-velocity materials.
Test sockets are consumables that degrade with use — each socket type has a defined insertion life (typically 10,000–100,000 insertions) before replacement. Without automated tracking of socket usage against insertion limits, engineering teams order replacements reactively — after yield loss has begun — rather than proactively. This creates unplanned downtime on test lines and rush procurement at premium prices.
OSAT operations consume hundreds of process chemicals — die attach adhesives, mold compounds, underfill materials, plating solutions, and cleaning agents — all of which must be lot-traced from receipt through consumption on specific package types. Without digital lot traceability, linking a process failure or customer quality issue back to a specific chemical lot requires days of manual record reconstruction.
Fabless customers each maintain their own Approved Vendor List (AVL) for materials used in their packages. A substrate supplier approved for Customer A may not be approved for Customer B — but both programs share the same production floor. Without an AVL management system that cross-references customer requirements, procurement teams cannot make optimal sourcing decisions and risk using non-approved materials on customer packages.
Purpose-built features and Agentic AI working together to eliminate the most costly semiconductor (osat) procurement problems.
When a supplier files a PCN, the Lifecycle Risk Agent assesses impact against all active customer BOMs simultaneously. It identifies affected package types, customer programs, and qualification status — then routes the notification to the correct customer APM with a pre-drafted impact assessment. Approval status is tracked digitally until all customers have responded.
LTAs for bonding wire and substrates are structured with commodity index linkage. The Spend Analysis Agent monitors gold and copper spot prices against contract index clauses, surfaces forward-buy opportunities when prices are below the 90-day moving average, and models the P&L impact of commodity exposure across the portfolio.
Customer wafer-start schedules are ingested directly into Proconomy's demand planning engine. The Demand Forecast Agent explodes wafer-starts through package-level BOMs to substrate, bonding wire, mold compound, and lead frame requirements — generating time-phased material requirements that drive RFQs and call-offs automatically.
Each test socket is registered with its insertion life limit and usage counter. Proconomy tracks cumulative insertions against the replacement threshold and generates proactive purchase requisitions before the limit is reached — matching replacement orders to scheduled maintenance windows rather than reactive failures.
Every chemical receipt is lot-tagged on GRN. Consumption is recorded against production work orders by package type and date. When a customer raises a SCAR, Proconomy reconstructs the full chemical traceability chain — lot number, supplier, receipt date, GRN, and all production orders where the lot was consumed — in minutes.
Supplier AVL status is maintained per customer program. When a buyer selects a source for a purchase order, the Sourcing Recommendation Agent cross-checks the supplier against the AVL requirements of every program scheduled to use that material — and flags conflicts before the PO is issued.
Proconomy maps each OSAT input material to its demand driver, supply lead time, and compliance requirement — so procurement acts on data, not instinct.
Examples
Demand Driver
Wafer-start schedule × package type
Lead Time
8–14 weeks
Customer AVL required. Commodity-indexed pricing.
Examples
Demand Driver
Die count × wire count × wafer-start
Lead Time
4–8 weeks
Au/Cu spot price indexed. Forward-buy opportunity tracking.
Examples
Demand Driver
Units × mold compound consumption rate by package
Lead Time
6–10 weeks
Lot traceability required. Shelf-life tracked on GRN.
Examples
Demand Driver
Die count × attach material usage per die
Lead Time
3–6 weeks
Chemical lot trace. Cure profile validation per supplier lot.
Examples
Demand Driver
Insertion count tracking per handler/socket
Lead Time
10–16 weeks
Consumable lifecycle tracked. Proactive PO at 80% insertion life.
Examples
Demand Driver
Unit throughput × chemical consumption rate
Lead Time
2–4 weeks
SCAR lot traceability. Hazmat storage and REACH compliance.
Proconomy ingests weekly customer wafer-start schedules and explodes them through package-level BOMs. The Demand Forecast Agent calculates time-phased material requirements for every substrate, bonding wire, and mold compound type — and generates draft RFQs or LTA call-offs before the planner opens their inbox.
A structured PCN workflow that assesses impact across every customer BOM simultaneously — so no notification is missed and no re-qualification is delayed.
Owner: Procurement / Supplier Portal
Supplier submits a Process Change Notice through the Proconomy supplier portal or via email-to-portal integration. The PCN is automatically parsed — change type, affected materials, effective date, and customer notification requirements are extracted.
Actions at this stage
Proconomy tracks every socket's insertion count in real time. At 80% of the rated insertion life, a purchase requisition is generated automatically — timed to arrive before the replacement window.
S001
DRAM BGA 272 · Handler A — Line 3
S002
MCU QFN 32 · Handler B — Line 7
S003
RF WLCSP 16 · Handler C — Line 2
S004
GPU LGA 1700 · Handler D — Line 5
S005
SoC BGA 676 · Handler E — Line 1
S006
Microcontroller QFP 80 · Handler F — Line 8
Click any card to expand socket details · Purchase requisitions auto-generated at 80% insertion life · Lead time factored into trigger date
When a buyer selects a substrate supplier for a purchase order, Proconomy cross-checks approval status against every customer program that will consume that material — before the PO is issued.
| Supplier / Material | Quantum Logic (QLC) AI/GPU | Nexwave Semi RF / IoT | CoreChip Systems Automotive IC | Helios Semiconductor Memory / DRAM |
|---|---|---|---|---|
Shinko Electric Substrate · Japan | ✓Approved | ✗Not Approved | ✓Approved | ✓Approved |
Ibiden Co. Substrate · Japan | ✓Approved | ✓Approved | ⏳Pending | ✗Not Approved |
Kulicke & Soffa Bonding Wire · Singapore | ✓Approved | ✓Approved | ✓Approved | ✓Approved |
Heraeus Electronics Bonding Wire · Germany | ✗Not Approved | ✓Approved | ✓Approved | ⏳Pending |
Sumitomo Bakelite Mold Compound · Japan | ✓Approved | —N/A | ✓Approved | ✓Approved |
Namics Corporation Die Attach · Japan | ⏳Pending | ✓Approved | ✓Approved | ✗Not Approved |
Legend
🤖 PO Conflict Detection
When a buyer selects Ibiden (Substrate) for a purchase order that will serve CoreChip Systems (Automotive IC), Proconomy flags the Pending approval status before the PO is issued — preventing a non-AVL material escape before it reaches the production floor.
These agents run autonomously in the background — monitoring, analysing, and acting so your team doesn't have to.
PCN impact assessment across customer BOMs, lot traceability reconstruction for same-day SCAR response
Wafer-start driven MRP — explodes customer forecasts into time-phased substrate and materials requirements
Multi-customer AVL compliance checking enforced at point of source selection
Commodity price monitoring for bonding wire and substrates — surfaces forward-buy opportunities
AEC-Q100/Q200 and IATF 16949 supplier qualification with automated gap analysis
Proconomy's agents don't just surface information — they act. They draft emails, flag risks, generate recommendations, and initiate workflows autonomously, so your team focuses on decisions, not data gathering.
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