Every assembly has hundreds of components, and every inquiry comes with a different bill of materials. We automate BOM parsing, costing and test reports, integrated into your ERP and PLM.
Six recurring time-drains every mid-sized EMS provider knows.
Every customer delivers the bill of materials in a different format: Excel, Altium export, Mentor Xpedition, PDF printout. First structure it, then reconcile it with your own parts database. Hours per BOM, sometimes days.
Components get end-of-lifed, allocations stretch lead times. Obsolescence checks per MPN across several distributor portals are manual, nobody does it systematically, until it blows up at goods receipt.
Test data from ICT and functional-test systems is transferred by hand into customer reports, defect patterns classified, anomalies annotated. A full reporting day per lot.
FAI reports per AS9102 or IPC requirements, a structured record per assembly covering components, placement and measured values. The kind of effort that becomes the bottleneck during NPIs.
Field failures and customer complaints: is it the component batch, a placement machine, the solder profile? Without structured analysis, it all stays hypothesis.
New spec documents (datasheets, manufacturing requirements, test conditions) are read, interpreted and translated into work instructions by work planning and quality. Days per project before NPI.
Customer BOMs from Excel, Altium, Mentor Xpedition or PDF are structured automatically. MPN, manufacturer, description and placement are extracted and matched against your parts database, with duplicates and alternates flagged.
Every part is checked against SiliconExpert, IHS or manufacturer APIs directly. End-of-life notices, allocation warnings and lifecycle status feed into the quote already, not just at goods receipt.
Measurement data from Keysight, Teradyne or JTAG test systems is turned automatically into customer-ready test reports, including statistical analysis, defect classification and a corporate-design PDF.
First-article inspections are compiled from SPI, AOI and X-ray data. Deviations from the BOM and manufacturing requirements are flagged, and quality sign-off is one click instead of a full working day.
Field failures are correlated with production data (line, placement machine, solder profile, component batch). The AI finds recurring patterns before they turn into a series failure.
When facing obsolescence or shortages, the AI proposes alternative components, with price indications from current distributor data, lifecycle status and a form-fit-function note. Purchasing decides, not the AI.
Customer specs and manufacturing requirements are analyzed in a structured way: test requirements, release criteria, conformity evidence. When specs update, the AI produces a delta analysis against the previous version.
An EMS provider focused on industrial and medical-technology assemblies. Before the project: BOM analysis took 2-3 days per quote, split between parsing the customer format, obsolescence checks per MPN and purchasing inquiries to distributors. At 15 inquiries per month, quoting was a permanent bottleneck.
After rollout: the AI parses incoming BOMs regardless of format, checks obsolescence against SiliconExpert, proposes alternatives for critical components and generates a costing draft. Sales reviews and sends, in about 2 hours instead of 2-3 days.
Integration into your existing systems, not another tool sitting alongside them.
We do not sell anything we haven't built ourselves: our own AI apps in the App Store, a voice agent and a fully automated customer-acquisition engine we run in-house every day.
See all projects & referencesWe analyze your BOM, purchasing and testing processes, together with work planning, purchasing and quality. The result: a prioritized list of concrete levers.
We build the solution to fit your ERP, PLM and MES. Interfaces to the parts database and obsolescence sources are standard. Pilot in weeks.
After go-live we stay on board. Monitoring, adjustments for new customer formats or test processes, and training for your team.
Two days on site with work planning, purchasing and quality. A clear list of the biggest levers.
One concrete use case (e.g. BOM parser) live in 4-6 weeks.
Connection to ERP, PLM, test systems and parts databases, no parallel worlds.
Roll out further use cases from your priority list.
By the end you'll know whether AI automation pays off for your EMS operation, and if so, where the best starting point is.
We'll get back to you within 24 hours.