Manufacture faster, trace every unit and cut costs for your EMS with Fynd Forge
An AI-native manufacturing OS for Electronics Manufacturing Services (EMS) to unify planning, procurement, hardware integration, assembly, quality, and shipping

How Forge powers your electronics shop floor

- Capacity-aware schedules for SMT, testing, and packing
- Auto-replan instantly if reflow ovens or SPI machines go down
- Lock mBOM and routing by product variant
- Real-time visibility on ship-date impact due to disruptions

- 3-way match (PO → GRN → invoice) so you pay only for received components
- FEFO/FIFO issuing so older/expiring lots feed SMT lines first
- Approved vendors and part alternates auto-suggested on shortages
- Live ASN tracking with supplier nudges to prevent line stoppages

- Connect SPI/AOI/X-ray, reflow, and PLCs for live data & actions
- Real-time machine/test data capture
- Auto-detect process deviations & defects
- Trigger instant interlocks & corrective steps

- Mandatory step-by-step assembly scans at each station
- Component barcode binding to individual PCBs/devices
- Automatic interlocks route failed checks to rework stations
- Controlled changeovers—programming, stencil, torque settings

- SPI/AOI/X-ray inspection data bound to serial numbers/IMEIs
- Automated capture of FATP, burn-in, and OQC per device
- Audit-ready electronic device history with secure approvals
- Complete traceability: component lot → PCB → final product → shipment
- Instant unit-level history lookup for defect codes

- Guided diagnostics leveraging known defect databases
- Mandatory re-inspection workflows post-repair
- Material Review Board (MRB) tracking with quarantined bad parts
- Warranty returns tied clearly to unit genealogy

- Barcode-driven packing workflows: unit → carton → pallet
- Region-specific labeling compliance (BIS, CE, FCC, IMEI/MAC)
- Automatic creation of ASNs and e-invoices from packing scans
- Precise dock and routing assignments to avoid shipment errors

- Daily AI brief: FPY performance, OEE stats, shortages, late orders
- SPC, downtime, MTBF/MTTR dashboards with early alerts
- Natural language queries for shop-floor insights
- Real-time WIP monitoring; proactive bottleneck alerts
- Root-cause traceability for defects—component lot, station, operator
Results & scale you can trust
↓ 90%
planning cycle time
↑ 3 – 5%
throughput
↓ 50%
vehicle capacity utilization
↓ 80%
audit cycle time
↓ 30 – 50%
unplanned downtime
Why Fynd
Agentic use cases

- Continuous planning instead of batch cycles
- Realistic scheduling matching actual capacity
- Instant auto-replanning on disruptions
- AI proposals with human-in-loop approvals

- Remaining useful life (RUL) predictions for stations
- Auto-generated work orders for upcoming maintenance
- Early anomaly detection and alerts before failure
- Spares planned proactively based on predicted needs

- Real-time FPY monitoring and instant alerts
- Complete genealogy: serial ↔ PCB ↔ lot ↔ processes
- AI inspection (SPI/AOI/X-ray) catching defects early
- Auto re-loop of failed units to re-inspection

- Auto-suggest component substitutes on shortages
- Predictive re-ordering based on demand & lead times
- Real-time stock visibility across plants and lines
- Automated supplier updates and nudges

Frequently asked questions
Forge is an AI-native OS: perpetual planning, agentic workflows, unified data thread, and closed-loop quality—beyond forms-based MES.
Yes. API-first integrations with SAP/Oracle and IIoT gateways for SPI/AOI/X-ray/reflow, PLCs, and scanners.
Yes. SN/IMEI/RSN generation, label verification, binding/comparison rules, and compliance-ready audit trails.
Phase 1: planning/traceability; Phase 2: quality + repair; Phase 3: scan-pack/ASN and predictive maintenance.
Yes. Sites/lines/stations modeled with role-based access, shared templates, and plant-level KPIs.
RBAC, JWT auth, encryption, audit logs, and Azure-native services (KMS, Event Hub, Synapse) for governed analytics.








