Sitara Infotech builds the operational stack a mill runs on, then puts an intelligence layer on top. Production tracking and weaving MIS, dyeing batch control, mill ERP and CRM workflows, and a loom intelligence platform that sits on any LDM hardware you already own. Mobile-first, WhatsApp-native, Urdu and English, offline-capable. Mercedes-grade, built where the looms run.
Discuss Your MillSits on top of any LDM hardware you already own (INZ, CLD, generic CT-sensor systems). Reads telemetry, computes OEE and MTTR, sends WhatsApp stop alerts, delivers AI shift briefings to the owner’s phone. Zero writes to the vendor database. Zero disruption to production.
Real-time loom monitoring across air-jet, water-jet, rapier, and projectile looms. Pick count, RPM, stop reasons, operator efficiency, shed-level OEE. Floor dashboards, supervisor mobile views, board-level rollups. Retrofit on existing controllers or greenfield on new automation.
Factory owners are not at the factory PC. The product lives on their phone. Machine-down WhatsApp alerts within seconds, daily shift summaries at shift end, an AI briefing at 7 AM. Urdu and English, first-class, not a settings toggle.
Order to dispatch tracking through every department: yarn issue, warping, sizing, weaving, inspection, dyeing, finishing, packing. One thread of truth from sales order to finished goods. Replaces the registers, Excel files, and disconnected vendor tools most mills run today.
Batch recipes, lab dip approvals, dyeing logs, chemical consumption, and shade reconciliation. Right-first-time tracking, rework analysis, and shift-level efficiency for jiggers, jets, and stenters. Built to survive the realities of a dyehouse, not a spec sheet.
Yarn, grey, and finished goods inventory with bin-level locations. Goods receipt, internal transfers, dispatch slips, and reconciliation. Multi-warehouse, multi-unit, with audit trails that hold up when stock counts disagree.
Four-point inspection systems, defect logging, roll grading, and quality dashboards by loom, by shift, by operator. Patterns surface within weeks and quality conversations move from blame to data.
Textile ERP modules for finance, HR, and procurement. Customer and order CRM workflows for export-oriented mills. Or integration layers that connect a shopfloor system to your existing SAP, Microsoft Dynamics, Odoo, or in-house ERP. The right module wins where it is best.
Machine health scoring from current waveform patterns. “Machine 14 is degrading, service it before it costs a full day of production.” Anomaly detection, early-warning alerts, and energy analytics from the same CT-sensor data you already pay for. Predictive, not reactive.
Existing LDM vendors sell sensors, wires, gateway boxes, and a 2008-era desktop app with green and red tiles. They are in the sensor business. Sitara Infotech is in the intelligence business. We sell decisions, not data. We sit on top of the hardware you already own and turn raw telemetry into the answer to “what should I do right now?”
Availability (actual run over planned production), Performance (actual RPM over target, capped at 100 percent), OEE Proxy (A times P, Quality folded in when defect data is available), MTTR (per machine, shift, operator), Top Downtime Reasons (Pareto by duration). Every number traces back to raw telemetry. No black boxes.
Group machines by foreman. Show: Rashid’s shift averages 86 percent OEE, Imran’s shift averages 79 percent. Same machines, same fabric, different humans. Now the owner has data to have a conversation he has been avoiding for years. Not blame. Accountability with evidence.
Machine 14 ran at 92 percent three months ago. Last month 87 percent. This week 82 percent. Nobody noticed because each day looks normal. The trendline catches it. Service before it becomes a breakdown that costs a full day of production.
The CT sensors already measure current. Nobody is using that data. We compute kWh per machine per shift, then cost per meter of fabric. The owner discovers that Machine 3 costs 18 percent more electricity per meter than Machine 24, same fabric, same RPM. That question alone pays for the platform.
Every morning at 7 AM, before the owner reaches the factory, his WhatsApp gets a one-paragraph intelligence brief. Yesterday’s OEE, worst performer with reason, night shift versus day shift gap, electricity anomaly, the one action that matters today. He has not even left his house and he already knows everything.
You own three factories. Your partner owns two more. One screen. Five factories. Real-time, ranked by OEE, color-coded. The underperformer is obvious. The investment decision is obvious. Nobody in Faisalabad has this. Nobody in Pakistan has this. Sitara built it.
| Layer | Technology |
|---|---|
| Shopfloor data | PLC / Modbus / OPC-UA integration, MQTT brokers, edge collectors |
| Backend | Python, FastAPI, SQLAlchemy, Celery, Pydantic |
| Frontend | React, TypeScript, mobile-first dashboards for supervisors |
| Database | PostgreSQL with TimescaleDB for high-volume loom telemetry |
| Infrastructure | Docker, on-premise or cloud, runs across multiple mill units |
| Integrations | SAP, Microsoft Dynamics, Odoo, QuickBooks, in-house ERPs |
Faisalabad is the textile capital of Pakistan. Our engineers can walk a shed in the morning and ship code in the afternoon. Distance kills textile projects. Being local in Faisalabad, with Lahore, Sialkot, and Karachi reachable in hours, collapses the discovery loop.
We build for shopfloors with dust, three shifts, intermittent power, and operators who learned the trade on the loom. Not air-conditioned spec sheets. Software that breaks under those conditions is software that did not get tested under those conditions.
The same people who model the data design the dashboards, integrate the looms, and stand behind the rollout. No outsourced handoffs between agencies. The team that ships is the team that owns it.
Open-source stack, your servers if you want them, your data under your control. No per-seat fees that escalate as the mill grows. No proprietary file formats that hold your operational history hostage.
The operational stack a mill runs on: production tracking from spinning to finished fabric, loom and machine monitoring for OEE and downtime, dyeing batch recipes and lab dip approvals, fabric inspection and defect logging, yarn and finished goods inventory, dispatch, and finance integration. A well-fitted textile software stack replaces the patchwork of registers, Excel files, and disconnected vendor tools most mills run today.
Yes. We integrate with existing loom controllers and PLCs to capture pick count, RPM, stop reasons, and operator-level efficiency. Data flows in real time to floor dashboards, supervisor mobile views, and management reports. We work with shed-level retrofits as well as greenfield automation projects across air-jet, water-jet, rapier, and projectile looms.
Yes. Our textile modules sit alongside SAP, Microsoft Dynamics, Odoo, or any in-house ERP through clean REST and database-level integrations. We commonly own the shopfloor and production tracking layer while the existing ERP keeps finance, payroll, and procurement. No rip-and-replace required.
Faisalabad is the textile capital of Pakistan. Building software here means our engineers can walk a shopfloor in the morning and ship code in the afternoon. Distance kills textile projects: requirements get lost in translation, mills do not behave like spec sheets, and remote vendors over-specify processes they have never watched. Being local in Faisalabad and reaching Lahore, Karachi, and Sialkot in hours collapses that loop.
A focused first module, for example loom monitoring on one shed or a production tracking pilot on a single unit, ships in 6 to 10 weeks. Mill-wide rollouts typically follow a phased plan across 4 to 9 months. We always start with one unit live in production before expanding so the system proves itself on real data before it propagates.
We serve textile and garment manufacturers across Pakistan, especially Faisalabad, Lahore, Karachi, Sialkot, Multan, and Gujranwala, plus the UAE, Saudi Arabia, and the wider GCC. Remote delivery for code with on-ground discovery and rollout where it matters.
Our textile software and loom automation engagements span Pakistan’s textile belt and reach the Gulf. On-ground discovery in the cities below, remote-first delivery everywhere.