Garment inventory is one of the hardest inventory management problems in manufacturing. It's not just about counting pieces — it's about tracking fabric by lot number, GSM, and color; managing size matrices across dozens of styles; keeping tabs on pieces at embroidery and washing vendors; and reconciling wastage per buyer order.

Excel handles none of this well. Here's how to manage it systematically.

Why Garment Inventory is Uniquely Complex

A garment manufacturer in Tirupur or Bengaluru managing 50 active styles faces:

Fabric variability — same color, different GSM or width from different lots. A 3% GSM difference changes the yield per meter, and thus the cost per piece.
Size variants — every style exists in 5–8 sizes. That's 50 styles × 7 sizes = 350 finished goods SKUs to track.
Multi-stage WIP — fabric moves through cutting, stitching, finishing, checking, packing. At any point, you might have 30% of one batch at stitching and 70% at finishing.
Job work dispersion — embroidery, washing, printing, and button-attaching might happen at 5–10 different vendors simultaneously.
Buyer-wise packing — each export order needs a packing list that specifies size-ratio by carton.

No spreadsheet handles all of this reliably beyond a certain scale.

Step 1: Fabric Intake Tracking (Meters, Lot, GSM, Supplier)

Every fabric receipt should be recorded with:

Field	Why it matters
Lot number	Quality consistency tracking; different lots of same fabric can have quality variations
GSM (grams per square meter)	Affects yield; higher GSM = fewer meters needed but higher fabric cost
Width (inches)	Affects cutting efficiency; narrower fabric wastes more
Color and shade	Shade variation between lots is a common quality issue
Supplier	Enables supplier-wise quality comparison
Quantity (meters or kg)	Physical count at time of receipt
Unit rate	Cost per meter for batch-level costing

Lot-level issuance — when you issue fabric to production, issue by lot (not just item). This lets you trace which lot of fabric went into which production batch — essential for quality traceability.

Step 2: Trim Inventory (Buttons, Zippers, Labels)

Trims are often the bottleneck in garment production — you can have all your fabric ready and be blocked by a delay on buttons or labels.

Set up trim inventory with:

Separate item codes for each trim variant (e.g., "Button 12mm White Pearl" ≠ "Button 12mm Black")
BOM inclusion — every style's BOM should include all trims per dozen or per piece
Reorder levels — trims are typically imported or from specialized suppliers with 15–30 day lead times

A common mistake is tracking fabric but not trims. One missing trim variant can stop the entire production of a style.

Step 3: WIP Tracking Through Production Stages

Configure your production stages based on how your factory actually works. A typical garment factory workflow:

Cutting → Stitching → Finishing → Checking → Packing

For job work factories, add: Fabric Receipt → Cutting → Dispatch for Stitching → Receipt from Stitching → Finishing → Packing

For each stage, record:

Pieces in (from previous stage)
Pieces completed and passed
Pieces rejected/reworked
Date and operator/supervisor

This gives you real-time WIP visibility. "How many pieces of Style A are at stitching right now?" becomes a one-click answer.

Step 4: Size Matrix for Software vs. Excel

The size matrix is where Excel breaks down entirely at scale.

Excel approach: Either a separate row per size (350 rows for 50 styles × 7 sizes) or a pivot table that breaks constantly as data changes.

Size matrix in ERP: A grid where styles are rows and sizes are columns. Stock quantities fill the cells. One view for the entire finished goods inventory.

Style	S	M	L	XL	XXL
Style A Navy	0	24	36	12	6
Style B Red	12	0	18	0	0
Style C Beige	6	24	24	24	12

This is how buyers communicate requirements ("I need 500 pieces of Style A in M/L/XL") and how packing lists are prepared (carton-wise size ratio). A proper size matrix makes this instant.

Step 5: Reducing Fabric Wastage With BOM per Style

The BOM (bill of materials) per style tells you the standard fabric consumption per piece or per dozen, including:

Fabric consumption (meters) — per the style's marker efficiency
All trims

When a production batch closes, the system:

Calculates standard consumption = BOM per piece × pieces produced
Compares with actual fabric issued to the batch
The difference is wastage

Track this by style and by supplier lot. Over 3–6 months, you'll identify:

Which styles have consistently high wastage (review the marker or BOM)
Which fabric lots have higher wastage (quality issue with that supplier's lot)

Reducing fabric wastage from 8% to 5% on ₹50 lakh of annual fabric spend saves ₹1.5 lakh — which is more than the annual software subscription.

How to Manage Garment Factory Inventory in India: From Fabric to Finished Goods