Garments & Textiles

Buyer Gave the Order.
Production Doesn't Know.
Fabric Waste Is Killing You.

Garment manufacturing runs on style numbers, size ratios, colour lots, jobwork contractors, and buyers with 6-week seasonal windows. One miscommunication, one wrong style cut, one fabric lot mismatch - and a ₹30L order becomes a return. Expand smERP gives you end-to-end control from buyer order to dispatch.

40%
Inventory cost reduction - avg. first 90 days
71→95%
On-time order fulfillment - after go-live
25 yrs
Building ERP for Indian manufacturers
Style-wise Order Tracker - Live
Open Orders
14
On track: 11
Fabric Waste
3.2%
↓ Target: 4%
Jobwork Due
3
This week
Style #LT-2241 · Linen Trousers · M/L/XL
Buyer: H&M India · 1,200 pcs · Due: 22 Nov
Cutting Done ✓
Style #KB-0844 · Knit Blouse · S/M/L
Buyer: Max Fashion · 850 pcs · Jobwork: Rahul Stitching
Stitching 68%
Style #DS-0112 · Denim Shorts · 28/30/32/34
Fabric lot mismatch - shade varies ⚠
QC Alert
Style #FD-2238 · Floral Dress · S/M/L/XL
QC passed · Packing in progress · 980 pcs
Packing ✓
⚠ DS-0112: 2 fabric lots with shade variation - buyer approval needed before cutting continues
🌏
India's Garment Export Position
India is the world's 6th largest textile and apparel exporter - supplying fast fashion, home textiles, and premium garments to Europe, the US, and Southeast Asia. The buyers are increasingly demanding on delivery accuracy, fabric traceability, and production documentation.
₹3+ Lakh Cr
India's annual textile and apparel industry size
⚙️
The Style-Size-Colour Complexity
A single export order may contain 8 styles, each in 4 colours, each in 5 sizes - 160 unique SKUs in one order. Each SKU has a different fabric consumption, different cut ratio, and different jobwork route. Managing this without a system means errors are inevitable and margin is invisible.
30%
Operational efficiency loss in garment businesses without production tracking - industry data
📈
The Seasonal Window Problem
International buyers operate on 6-week seasonal windows. A garment that misses the buyer's season doesn't get reordered - it gets discounted or returned. The difference between 95% on-time delivery and 85% on-time delivery is, for many garment exporters, the difference between growing their buyer relationships and losing them.
95%
On-time delivery rate reported by Expand smERP garment clients after go-live
The Hidden Costs in Garment Manufacturing

Fabric Waste Is Not a Number.
It's a Decision You Never Made.

Fabric waste of 5% on a ₹50L fabric procurement is ₹2.5L written off annually - without a theft, without a disaster, just from cutting without optimised markers, jobwork without proper issue tracking, and shade lots mixed because nobody tracked which roll came from which dye lot. Systems eliminate these losses systematically.

5–8%
Average excess fabric waste in garment businesses without systematic lot and yield tracking
6 weeks
Buyer's seasonal window - miss it once, and the order doesn't come back that season
🪡
Fabric Lot Shade Variation - ₹4.2L Order Cancelled
Cutting team used fabric from two different dye lots. Shade varies slightly. Visible in finished garment under daylight. Buyer's QC rejected the lot - 420 pieces. Remake not possible within seasonal window. Order cancelled. Relationship: damaged. Fabric: partially wasted.
📋
Style #LT-2241 - Wrong Size Ratio Cut
Buyer's order sheet updated to change M:L:XL ratio from 3:4:3 to 2:5:3. Update shared on WhatsApp. Cutting team didn't get the message. 800 pieces cut to old ratio. Buyer needs 400 more size L and has 200 excess size M. Remake cost: ₹1.8L. Delivery: 8 days late.
🧵
Jobwork Contractor Returned 40 Pieces Short - Nobody Noticed
680 pieces issued to stitching contractor. 640 returned. The 40-piece shortage went unrecorded. Discovered at packing when the count didn't match the order. Contractor says the pieces are "in transit." Buyer's shipment: delayed. Penalty clause invoked. Total cost: more than the contractor's jobwork fee.
📦
Fabric in Stock Nobody Knows About - ₹8L Dead Inventory
₹8L of fabric from a cancelled order sitting in the warehouse since last season. Nobody matched it to current orders - because the style numbers don't match. Same fabric, different style code. A new order just placed for similar fabric was procured at full price. The existing stock is still sitting there.
The Daily Reality

If 3 of These Are Happening -
Your Garment Operation Has Gaps That Cost You Every Season.

These are not seasonal problems. They are weekly operational realities for garment manufacturers running on WhatsApp, Excel, and verbal instructions.

Every Order
🔬

Style numbers are all over the place - production cuts wrong spec

Buyer updates the style spec after the order is placed. The update goes on WhatsApp. Cutting team doesn't get the revised measurement sheet in time. 500 pieces cut to old spec. Buyer rejects at QC. No system connected order to production to fabric issue.

Seasonal Risk
📅

Buyer gives order - production doesn't know until someone tells them

Buyer order confirmed. Sales team celebrates. Production team finds out 3 days later when someone mentions it in a morning meeting. No system triggered a production order, no fabric requirement calculated, no jobwork contractor informed. 3 days lost from a 6-week window.

Per Shipment
🪡

Fabric waste is high - but nobody knows exactly which style is wasting most

Fabric waste at 6–7% on average. But nobody knows if it's the cutting room, the jobwork contractors, or the shrinkage during washing. The waste is visible in the P&L at year-end - as a cost variance that "happens every year" - not as a style-level problem that can be fixed.

Chronic
🧵

Jobwork tracking is a mess - what went out, what came back, what QC result

6 stitching contractors working simultaneously. Each gets fabric and trims on verbal instruction or handwritten challan. Returns happen in batches over days. Some pieces come back with stitching defects. Nobody has a live count of how many pieces are pending with which contractor.

Stock Problem
📦

Dead fabric stock from cancelled orders - fabric sitting since last season

3 cancelled orders from last season left ₹12L of fabric in the warehouse. It appears as stock in the system. But with different style codes, nobody matched it to new orders. Fresh fabric is being procured for similar styles at current prices. The dead stock cost is being paid twice.

Margin Risk
💰

No accurate costing per style - margin estimated, never real

Fabric cost, trim cost, cutting cost, jobwork stitching, finishing, packing - spread across 4 systems and verbal agreements. The margin per style is never calculated from actual costs. You quote the next season based on last season's estimate. Margins erode. You don't know why until the CA shows you at year-end.

See How Expand smERP Fixes This

No pitch. A 30-minute conversation about your specific style and production challenges.

How Expand smERP Solves It

Complete Batch Control.
From Raw Material to Customer Delivery.

Batch traceability, yield tracking, shelf-life management, COA/MSDS generation, and compliance documentation - built specifically for chemical manufacturing operations.

STYLE TRACKER - ORDER #EXP-2241 · H&M INDIA
Buyer
H&M India · Due 22 Nov · 3 styles · 3,200 pcs total
Style #LT-2241 · Linen Trousers (M/L/XL · 3 colours)
1,200 pcs · Spec v2.1 locked · Cutting done
On Track
Style #KB-0844 · Knit Blouse (S/M/L · 2 colours)
850 pcs · Stitching: 68% · Jobwork: Rahul Unit
In Progress
Style #DS-0112 · Denim Shorts (28/30/32/34)
1,150 pcs · Fabric lot shade issue - cutting paused
Paused ⚠
⚠ DS-0112 cutting paused - 2 fabric lots with shade variance. Buyer approval pending. 5 days to dispatch deadline.
✦ Every style tracked from order to dispatch

Buyer Order In.
Production Knows in 60 Seconds.

When a buyer order is confirmed in Expand smERP, the system immediately creates style-wise production orders with the correct specs, size ratios, and fabric requirements. Production sees it. Fabric is allocated. Jobwork contractor is assigned. No 3-day lag. No WhatsApp chain. The seasonal clock doesn't start running before your team does.

📋

Style-wise production orders - auto-created from buyer order

Each style gets its own production order with specs, size ratio, colours, and quantities. Locked and visible to all teams.

🔄

Spec version control - changes locked to prevent wrong cutting

Buyer revises spec? New version saved. Production order updated. Old spec archived. No ambiguity about which version is current.

📱

Live order progress by style - answer buyer in 10 seconds

Any style's cutting, stitching, finishing, QC, and packing status visible in one screen.

FABRIC INVENTORY - LOT & SHADE TRACKING
Denim 10oz · Lot DB-2241 · Shade: Medium Indigo
1,840m available · Supplier: Krishna Fabrics · Allocated to DS-0112
Allocated ✓
Denim 10oz · Lot DB-2238 · Shade: Medium-Dark
620m available · Same style DS-0112 · Shade variance ⚠
Shade Alert ⚠
Linen Melange · Lot LM-0441 · Ecru
980m · Allocated to LT-2241 (M/L/XL) · 3 colours
In Use ✓
Rayon Print · Lot RP-0118 · 340m remaining
No active style allocated · 90 days no movement
Dead Stock ⚠
Fabric utilisation - Style LT-2241
Issued: 1,240m · Consumed: 1,196m · Waste: 44m (3.5%) Within target ✓
✦ Fabric waste tracked - per style, per lot

Know Which Lot Is in Which Style.
Catch Shade Issues Before Cutting.

Fabric lot management is the single highest-value system feature for garment manufacturers. When lots are tracked, shade variations are caught before cutting, waste is measured per style, and cancelled-order fabric is visible for reallocation. The ROI on fabric lot control alone typically exceeds the system cost in the first season.

🎨

Shade lot tracking - system alerts before mixing lots in one style

When cutting requires fabric from a second lot, system compares shade codes and alerts if variance exists.

📊

Fabric waste measured per style - cutting vs issued vs consumed

Issued 1,240m. Cut 1,196m. Waste: 44m. By style. Not an average. Not a guess.

♻️

Cancelled-order fabric visible for reallocation

Dead fabric stock flagged with age and original style. Matching to new orders before fresh procurement.

JOBWORK - ACTIVE CONTRACTORS THIS WEEK
Rahul Stitching Unit
Style KB-0844 · Issued: 850 pcs · Returned: 578 · Pending: 272
On Track
Sharma Finishing Works
Style LT-2241 · Issued: 1,200 · Returned: 800 · 400 pending · ETA: tomorrow
Awaited
Verma Embroidery Unit
Style FD-2238 · Issued: 420 · Returned: 380 · 40 missing ⚠
Shortage ⚠
Challan #JW-0441 - Verma Embroidery
Issued: 420 pcs + 42m thread + 420 labels · Returned: 380 pcs · Pending: 40 pcs + materials
⚠ Verma Embroidery: 40 pieces unaccounted - chase before dispatch date (3 days)
✦ Every piece tracked from factory to contractor and back

Know Exactly What's With
Each Contractor. Right Now.

Jobwork is where garment manufacturing loses the most visibility - and the most pieces. When every challan is digital, every issuance is recorded, and every return is counted against what went out, the 40-piece "I'll check and call you back" becomes a 5-second answer and a documented discrepancy that gets resolved before it becomes a dispute.

📄

Digital jobwork challans - pieces + trims issued per style per contractor

Every issuance recorded: garment pieces, fabric, thread, labels, accessories. All linked to the style and order.

🔢

Return count vs issued count - shortage flagged immediately

Contractor returns 380 of 420 pieces. System shows 40 unaccounted. Alert raised before you move on to the next step.

Contractor performance - delivery rate, defect rate, shortage history

Which contractor consistently delivers on time with low defects? Data decides - not relationship.

STYLE COSTING - #LT-2241 · LINEN TROUSERS · 1,200 PCS
Fabric cost (1,240m × ₹82/m) ₹1,01,680
Trims (buttons, thread, labels) ₹14,400
Cutting charges ₹8,400
Stitching (jobwork) ₹24,000
Finishing + Packing ₹9,600
Cost per piece · 1,200 pcs ₹131.7 · Margin: 28.4%
✓ Real cost - not an estimate. Based on actual fabric issued, actual jobwork charges.
✦ Real margin per style - before you quote the next season

Know What Each Style
Actually Cost. Per Piece.

Most garment businesses estimate their style margins. They know the FOB price. They guess the cost from last season's template. The difference between the estimate and the real cost is where margin goes to die - silently, style by style, season by season. Expand smERP builds the actual cost card per style from real consumption data.

💰

Per-style cost card - fabric, trims, cutting, jobwork, finishing

Actual costs from actual consumption - not a template from last season.

📊

Margin per style, per buyer, per season

Which styles are consistently loss-making? Which buyers get unprofitable orders? Data answers both.

🎯

Quote next season from actual data - not memory

Same style, similar fabric, new buyer? System shows last season's actual cost. Quote with confidence.

EXPORT PACKING - ORDER #EXP-2241 · H&M INDIA
Shipment
3,200 pcs · 3 styles · 24 cartons · FCL to Mumbai Port
Style LT-2241 · Cartons 1–10 · 1,200 pcs
Packed & Labelled ✓
Style FD-2238 · Cartons 11–17 · 980 pcs
Packed & Labelled ✓
Style KB-0844 · Cartons 18–24 · 850 pcs pending
Stitching in Progress
Packing List ✓ Commercial Invoice ✓ Shipping Bill ✓ All docs on KB-0844 completion
⚠ KB-0844 stitching completes tomorrow - docs auto-generated on QC clearance. Dispatch: Day after.
✦ Zero packing errors - correct style, correct carton

From Buyer Order to Container -
Every Piece Accounted.

Garment export packing errors - wrong style in wrong carton, wrong size ratio in packing list, wrong HS code - cause buyer QC rejections and customs holds that are entirely preventable. Expand smERP generates the packing list from production data, guides carton-by-carton packing, and auto-creates all export documents on completion.

📦

Guided packing - size ratio and style per carton verified

System tells packing team exactly which sizes go in each carton. No manual packing list interpretation.

📄

Packing list, shipping bill, COO - auto-generated from order data

All export docs generated from production data. Same numbers. Every document. Zero re-entry errors.

🚢

LC management - expiry tracked, shipment milestone alerts

LC deadline tracked daily. Production pace vs. dispatch date monitored. Alert when the LC is at risk.

The Seasonal Window - Your Most Finite Resource

6 Weeks. 3,200 Pieces.
Miss It Once and the Order Doesn't Come Back.

International garment buyers operate on fixed seasonal calendars. A shipment that misses the buyer's receiving window isn't just late - it's cancelled, discounted, or returned. The businesses that win larger orders every season are not necessarily the ones with the best product. They are the ones whose operations buyers can trust to deliver on time, every time.

71→95%
On-Time Delivery
What garment exporters consistently report after implementing Expand smERP - tracked production means no surprises at dispatch time.
40%
Inventory Cost Reduction
Average inventory cost reduction in first 90 days - from fabric lot reallocation, dead stock identification, and waste reduction.
₹0
Cancelled Orders - Stock Errors
What businesses report after go-live. Orders are no longer lost because production committed stock that didn't exist or fabric that was already allocated elsewhere.
Within Garments & Textiles

Built for Every Segment
of the Garment Industry

Each sub-sector within garments and textiles has its own production complexity and documentation requirements. Expand smERP is configured for how your specific type of operation runs.

👗

Woven Garment Manufacturers & Exporters

Multi-style, multi-colour, multi-size orders - SKU complexity explosion
Fabric shade lot mixing - buyer rejects for colour inconsistency
Cutting yield tracking - fabric waste unquantified per style
Multiple jobwork stages - cutting, stitching, finishing, washing
✦ Style-wise production · Shade lot alerts · Cutting yield per style · Multi-stage jobwork tracking
🧶

Knitwear Manufacturers

Yarn lot tracking - dye lot variation causes shade mismatch in finished pieces
Knitting machine utilisation - no visibility on which machine is running which style
Linking and finishing jobwork - multi-stage, multi-contractor
Wash and shrinkage yield - actual GSM vs spec
✦ Yarn lot tracking · Machine-wise WIP · Multi-stage jobwork · Wash yield tracking
🏠

Home Textiles & Furnishings

Repeat pattern matching - buyer spec requires precise repeat accuracy
Set management - bedsheet sets, curtain sets need piece tracking
Bulk and folded pack accuracy - wrong fold or dimension means buyer rejection
Branding and labelling compliance - buyer-specific label placement
✦ Set-wise production tracking · Pattern/print lot management · Pack dimension QC · Label compliance
🧵

Textile Processors & Dye Houses

Job receipt management - fabric received from multiple garment clients
Chemical recipe management - dye batch consistency critical
Process yield - fabric shrinkage, weight loss after processing
Client-wise inventory - which processed fabric belongs to which customer
✦ Job receipt tracking · Chemical recipe control · Process yield measurement · Client stock segregation
Before vs. After

Your Garment Business -
Before and After Expand smERP

What garment exporters report within 30 days of going live.

Situation ❌ Without Expand smERP ✅ With Expand smERP
Buyer order to production 3-day lag - WhatsApp chain, no system trigger Production order auto-created - team notified instantly
Spec version control Old spec cut - discovered at buyer QC Spec locked per version - production always on current spec
Fabric shade lot management Mixed lots discovered at buyer - rejection Shade lot alert before cutting - buyer approval first
Jobwork piece tracking Shortage discovered at packing - contractor dispute Issued vs returned counted per challan - shortage flagged immediately
Style costing Estimated from last season template Actual cost per piece from real consumption data
On-time delivery 71% - surprises at dispatch 95% - production pace tracked vs. delivery date daily
Export packing accuracy Manual packing list - buyer complaints Guided carton-by-carton packing - zero errors
End-to-End Production Flow

From Buyer Order to Container -
Every Style, Every Piece Tracked

1

Buyer Order

Style-wise breakdown. Spec version locked. Fabric requirement calculated. Jobwork planned.

2

Fabric Issue

Lot allocated. Shade check. Fabric issued to cutting room against cutting slip.

3

Cutting

Cut as per size ratio. Yield recorded. Waste measured. Pieces issued to jobwork on challan.

4

Jobwork

Challan-tracked issuance. Return counted against issued. Defects recorded. Shortage flagged.

5

QC & Finishing

Quality check at each stage. QC pass rate by style. Rework routed back. Pack-ready confirmed.

6

Pack & Export

Guided carton packing. Auto packing list. Shipping docs generated. LC deadline met.

95%
On-Time Delivery
Was 71% before Expand smERP
40%
Inventory Cost Reduction
First 90 days - avg. across garment clients
₹0
Cancelled Orders - Stock Errors
After go-live on Expand smERP
10%
Buyer Status Response
Was 90 minutes of calls across teams
The Expand Pilot

Start Small. See It Work. Then Scale.

We don't ask you to risk your entire operation. Run it live for 30 days. The results will tell you what to do next.

Stage 1 · The Starting Point

Order2Cash Workflow - 30-Day Live Pilot

Your complete sales-to-dispatch workflow, configured and live in your actual business. Not a demo environment. Not a sandbox. Your real data, your real operations - working on Expand smERP for 30 days.

No credit card. No software to install. No long-term commitment until you see results.

What Manufacturers Say

Real Factories. Real Numbers.

★★★★★

“Expand smERP has made us a little more organized. It has given us more credibility in terms of providing real-time information to my customers whenever they want it. I personally feel it has helped me a lot.”

Atul Jhunjhunwala
Director, Binayak Hi-tech Engineering Ltd.
★★★★★

“What I really liked about Expand smERP was that the responses have been very good. The system is very easy to understand. What truly differentiated Expand smERP from other companies was that they were ready to come on-site.”

Vidur Chandra
Director, Stratus Steel
★★★★★

“Expand smERP has allowed me to stop focusing on the day-to-day duties of accounting and finance, and it has given me a strong foundation and platform to grow my business.”

Navkaran Singh Bagga
Director, Trishan Group of Companies
Trusted by 250+ Manufacturers & Exporters Across India

Ready to Run Your Factory
With Real Control?

25 years. 250+ manufacturers. Zero failed implementations. Start small - see it work - then scale.