ERP for Textile Manufacturing

ERP built for the way textile mills actually run.

Off-the-shelf ERPs don't understand shade matching, processing stages, GSM variance, or the 14 unit conversions between bale, lot, beam, and metre. We've built ERPs for textile manufacturers across spinning, weaving, processing, and garment — so ours does.

Shade-aware
Lot tracking native
FEFO
Aged stock management
GST
+ e-invoicing built-in
Multi-unit
Bale, lot, kg, mtr
Who this is for

If you've outgrown Tally + Excel but SAP B1 quotes ₹70 lakh.

Indian textile manufacturers sit in a specific gap. SaaS ERPs don't model shade tracking. SAP B1 implementations cost more than half your annual turnover. The middle ground — custom ERP that actually understands textile — is what we build.

What we build

Built around textile workflows, not adapted from a generic ERP.

Each module below was built because a real textile client needed it. None of it is a generic ERP module renamed for textile.

Shade-aware lot tracking

Track raw cotton, yarn, fabric by shade and lot. Match shades across batches. Flag mismatches before they hit the loom.

Process costing across stages

Greige to finished fabric with stage-wise costing — sizing, dyeing, printing, finishing. Real-time WIP valuation, not month-end estimates.

Multi-unit conversions

Bale to kg to lot to metre to piece, with conversion factors that vary by product. Done once, applied everywhere.

Size-colour-style matrices

For garment units — track inventory and orders across SKU dimensions that off-the-shelf ERPs flatten into a single product code.

Job cards & production tracking

From cutting ticket through stitching, finishing, packing. With piece-rate worker payouts integrated.

Loom & machine tracking

Tie production to specific looms, mahcines, operators. Identify bottleneck machines from real data, not anecdote.

How we approach textile ERP

Process-first. Software second.

Week one: shop-floor immersion

We send our team to your mill. Watch the actual workflows. Map the spreadsheets, the WhatsApp groups, the registers. Identify the 3 modules that hurt most. The spec is written from observation, not from a feature checklist.

Sprints with weekly demos

Two-week sprints. Working software every Friday. You see progress on the actual modules that matter — shade tracking, costing, job cards — not slides about hypothetical features. Most v1s ship in 14–20 weeks.

Where it fits

We have built ERPs for these textile sub-sectors.

Spinning mills Weaving units Knitting Dyeing & processing Garment manufacturing Home textile Industrial textile Yarn trading Fabric processing Export units Embroidery Made-ups & finishing
Common questions

Direct answers.

Does your ERP handle shade matching natively?

Yes — it is a first-class concept in our textile ERP, not an afterthought. Every lot, batch, and material movement carries shade tracking. Mismatches get flagged at receipt, not after the loom has run for a shift.

Can it handle our specific costing method?

Yes. We support standard costing, actual costing, job-based, and process-based costing — and you can mix methods across product lines. Most textile mills end up using process-based for processing units and job-based for garment units.

How long does a textile ERP build take?

Focused v1 (3–4 modules covering your biggest pain): 14–18 weeks. Full multi-module enterprise rollout with mobile apps, integrations, and shop-floor IoT: 20–32 weeks, phased.

Will it integrate with our Tally and GST filings?

Yes — bi-directional Tally sync, native GST invoicing, IRN generation via IRP, e-way bill APIs. You can keep Tally for accounts and use our ERP for operations, or migrate accounts over time. Your call.

Can we deploy on-premise?

Yes. Many textile manufacturers prefer on-prem deployment for continuity. We support on-prem, your private cloud, or hosted in our managed cloud — same software.

Got a textile mill and ERP shopping is painful? Talk to us.

30-minute call. We'll tell you honestly whether custom is the right answer or whether Zoho/SAP fits — we have recommended both before.