Reports arrive too late
By the time a loss appears in an end-of-shift report, the chance to recover that output has passed.
Ready-to-deploy garment production intelligence
IntelliFactory
Recover the production your sewing floor is currently losing.
Connect your existing industrial sewing machines and see, in real time, where output is being lost by machine, operator, operation and line. Correct bottlenecks before the shift is over.
430+sewing machines connected in live factory environmentsRetrofit installationWireless data connectivity
The loss behind the target
Your production report tells you what happened. IntelliFactory tells you why.
Most factories know when a line misses its target. The difficult part is identifying the cause quickly enough to correct it.
The cause stays hidden
Totals show that a target was missed, but not whether waiting, balancing, materials, skills or a machine caused it.
Idle time is inconsistent
Manual records rarely separate genuine sewing from waiting, small stops and unplanned downtime.
Breakdowns come first
Developing load, vibration and temperature problems often become visible only after production stops.
Balancing is assumption-led
Without operation and operator-level cycle data, skill matching and line balancing rely on incomplete information.
Management sees totals
Factory leaders can see output, but not the live chain of causes behind lost capacity.
How it works
Turn every sewing machine into a live production-data source.
A compact retrofit system converts machine activity into information that production, IE and maintenance teams can act on.
- 01
Retrofit
Install the external module without modifying the machine's internal control wiring.
- 02
Learn
Capture the operating signature and establish the expected pattern for the sewing operation.
- 03
Monitor
Analyse status, cycles, idle time, vibration, load and temperature continuously.
- 04
Act
Give supervisors, mechanics and managers live dashboards, alerts and production insight.
Operational outcomes
See the losses that manual reporting cannot show.
Each signal is connected to an operational decision your team can make while production is still running.
Recover idle production time
Separate real sewing activity from waiting, material delays, balancing losses and unplanned stops.
Find bottlenecks earlier
Compare cycle time and output by operation to see where work in progress is accumulating.
Improve operator allocation
Use measured performance to support skill matching, targeted training and stronger line balance.
Reduce machine downtime
Flag unusual load, vibration and temperature patterns before they become major interruptions.
Accelerate support response
Record operator calls and the time mechanics, supervisors or material handlers take to respond.
Create reliable production data
Replace estimates and delayed records with consistent machine-generated information.
Proven in production
430+
sewing machines connected in live factory environments.
The published deployment figure is the proof available today. Factory compatibility, installation scope and verified customer outcomes are reviewed during the live demonstration and assessment.
- Existing industrial sewing equipment
- Machine, operator, operation and line mapping
- Live dashboard and mobile access
- Edge collection during internet interruption
One system, five views
Give every factory role the same live truth.
The dashboard changes the decision, not just the display. Each team sees the information it can act on.
01
Factory management
Factory output, target attainment, line performance and the largest active production risks.
02
Production managers
Real-time work in progress, developing bottlenecks, delays and projected shift completion.
03
Industrial engineering
Cycle-time comparison, operator capability, balancing opportunities and operation performance.
04
Maintenance teams
Machine alerts, service calls, response time and developing mechanical anomalies.
05
Line supervisors
Live machine status, operator calls, missed targets and immediate corrective actions.
Concrete intelligence
Three clear jobs for machine learning.
No vague automation claims. IntelliFactory uses machine data to improve specific production and maintenance decisions while people remain in control.
AI-01
Operation recognition
The system learns the motion and vibration signature of a sampled sewing operation, then classifies machine activity against that pattern.
AI-02
Anomaly detection
Load, vibration and temperature patterns are compared with expected behavior to surface deterioration or incorrect setup for review.
AI-03
Production forecasting
Live rate, remaining quantity and historical cycle time are used to estimate whether a line will meet the shift target.
ROI calculator
Put a value on recoverable production time.
Adjust the assumptions to build a conservative first-pass business case for your factory.
Build an illustrative recovery case
101,000
USD
1 USD25 USD
424
1531
%
5%50%
%
5%60%
Illustrative output
- 527 hrs
- $1,843
- $6,000
- $175
Productive hours recovered / month
Recoverable value / month
Hardware starting cost
Platform / month
Estimated annual net recovery
$20,013
Hardware payback3.6 months
Planning estimate only. It uses your assumptions and published starting prices. Installation, integration, taxes, financing, rework savings and downtime avoidance are excluded until a factory assessment confirms them.
Controlled production pilot
Measure the opportunity before a factory-wide rollout.
Select one production area, establish a baseline and use live data to quantify the losses that can be recovered.
Recommended duration
30-45 days
Decision output
ROI report
Pilot scope
- Machine and operation assessment
- Hardware installation
- Dashboard configuration
- Operator and line mapping
- Baseline data collection
- Production and downtime analysis
- Weekly performance review
- Final ROI and rollout report
Success measures
Data-capture accuracy, visibility of idle and working time, bottleneck identification, maintenance response, recoverable production opportunity and estimated deployment payback.
Integration and security
Built for real factory conditions.
The retrofit, data path and access model are reviewed with production, engineering and IT before deployment.
Wireless data
Wireless communication with no modification to internal machine control wiring.
Offline resilience
Edge processing continues collecting data during internet interruptions.
Controlled access
Secure device identity, encrypted transmission and role-based dashboard access.
System integration
API and agreed data interfaces for ERP or existing production systems.
Buyer questions
Frequently asked questions.
Will it work with our existing sewing machines?+
IntelliFactory is designed as a retrofit system for existing industrial sewing equipment. Compatibility is confirmed during the initial assessment.
Does it require changes to the machine controller?+
The standard installation does not modify the machine's internal control wiring. Final requirements depend on machine type and the available power source.
What happens when the internet connection fails?+
Local edge processing continues collecting and analysing machine data. Stored information is synchronized when connectivity returns.
Can it integrate with our ERP or production system?+
Yes. Integration can be provided through APIs and agreed data interfaces after the existing system is reviewed.
Who owns the factory data?+
The commercial agreement states the customer's ownership and permitted use of operational data before deployment.
How do we know whether it will create a financial return?+
The pilot establishes a baseline, identifies recoverable losses and produces a quantified business case before a wider rollout decision.
Review the system in context
See IntelliFactory working on a real sewing line.
Review the hardware, live dashboard, deployment process and measurable production outcomes with the engineering team.