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

AI-native capabilities that solve problems at every step: planning, stocking, hardware integration, assembly, quality, and shipping
Plan
  • 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
Procure to pay
  • 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
Hardware integration
  • 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
Build & assemble
  • 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
Quality & traceability
  • 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
Repair & rework
  • 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
Pack & ship
  • 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
Lead with clarity
  • 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

AI-native from day one
Agentic workflows, not forms. Plans auto adjust in real time as supply/capacity changes
Operator-first UX
Clear work instructions, station KPIs, and zero-friction scans
Deployment options
Deploy cloud, on-prem, or hybrid—plant-ready with edge connectivity
Complete genealogy, zero-gap audits
From component lot → PCB → device SN/IMEI → carton → shipment
Fast integrations
API-first with equipment, ERPs (SAP/Oracle), WMS/TMS/HRMS
Secure and scalable
Azure cloud, observability, and auditability built in
Time-to-value
Go live in phases—planning/quality first, then repair, ASN, and predictive maintenance
Enterprise-grade security
Azure-native, RBAC, audit trails, KMS, JWT auth

Agentic use cases

Real-world manufacturing scenarios, solved proactively by Forge AI
Planning & scheduling
  • Continuous planning instead of batch cycles
  • Realistic scheduling matching actual capacity
  • Instant auto-replanning on disruptions
  • AI proposals with human-in-loop approvals

Planning & scheduling
See how it all comes together. A quick look at the user journey of how cataloging becomes magic
Watch the video
Predictive maintenance
  • 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

Predictive maintenance
Roush reduced store rejections by 80% with real-time inventory sync
Read case study
Quality & traceability
  • 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

Quality & traceability
D2C brands like Ed-a-Mamma chose Fynd’s AI Design to launch their collections. Join the list.
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Inventory & supply
  • 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

Inventory & supply
Style Baazar increased its annual omnichannel store sales by 4x using Fynd’s endless aisle solution
Watch the video

Frequently asked questions

How is Forge different from a traditional MES?

Forge is an AI-native OS: perpetual planning, agentic workflows, unified data thread, and closed-loop quality—beyond forms-based MES.

How is Forge different from a traditional MES?
D2C brands like Ed-a-Mamma chose Fynd’s AI Design to launch their collections. Join the list.
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Can we integrate our existing ERP and shop-floor equipment?

Yes. API-first integrations with SAP/Oracle and IIoT gateways for SPI/AOI/X-ray/reflow, PLCs, and scanners.

Can we integrate our existing ERP and shop-floor equipment?
D2C brands like Ed-a-Mamma chose Fynd’s AI Design to launch their collections. Join the list.
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Do you support serialization and regulatory labeling?

Yes. SN/IMEI/RSN generation, label verification, binding/comparison rules, and compliance-ready audit trails.

Do you support serialization and regulatory labeling?
D2C brands like Ed-a-Mamma chose Fynd’s AI Design to launch their collections. Join the list.
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What’s a typical rollout?

Phase 1: planning/traceability; Phase 2: quality + repair; Phase 3: scan-pack/ASN and predictive maintenance.

What’s a typical rollout?
D2C brands like Ed-a-Mamma chose Fynd’s AI Design to launch their collections. Join the list.
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Is this multi-plant and multi-product?

Yes. Sites/lines/stations modeled with role-based access, shared templates, and plant-level KPIs.

Is this multi-plant and multi-product?
D2C brands like Ed-a-Mamma chose Fynd’s AI Design to launch their collections. Join the list.
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How do you handle data security?

RBAC, JWT auth, encryption, audit logs, and Azure-native services (KMS, Event Hub, Synapse) for governed analytics.

How do you handle data security?
D2C brands like Ed-a-Mamma chose Fynd’s AI Design to launch their collections. Join the list.
Book a demo