Run style-size-colour matrix items, fabric cutting plans, job work for printing / dyeing / embroidery with native ITC-04, and lot-level shade matching - in one cloud system built for Indian textile clusters.
Tally and BUSY handle accounting. SAP and Microsoft Dynamics need 4-month implementations. Neither is built for these specific textile & garment manufacturers pain points:
One style x 6 sizes x 8 colours = 48 SKUs. A 50-style season = 2,400 SKUs. Without matrix item generation, item-master creation alone takes weeks. Stock visibility is impossible at this scale in Excel.
Fabric inwards is rolls measured in metres. Garments are pieces. Cutting consumption is metres-per-piece (per size, per style). Inventory must handle both UOM with auto-conversion at cut stage.
Spring-summer, autumn-winter, festival drops, basics. Each season has design → sample → costing → bulk → dispatch cycle. Without season tagging, what's selling vs what's dead stock is invisible.
Most garment units outsource fabric printing, dyeing, embroidery, and wash. Each is a GST job-work transaction with challan, return, and ITC-04 implication. Pending challan ageing = GST reversal exposure.
Same dye colour across two batches isn't identical shade. Within one garment, all fabric must come from the same dye lot (or matching shade band). Mixing shades = customer rejection. Lot-level tracking is critical.
A cutting marker for size XL on a 1.5m wide fabric has X% efficiency. Better marker = less wastage. Without marker tracking + actual cut wastage capture, you can't improve marker efficiency.
Here is exactly what we will show you in a 30-minute demo. Every screen uses real industry workflows, not generic sample data:
Define style: 'Round-neck T-shirt'. Add sizes (XS / S / M / L / XL / XXL) and colours (white / black / navy / red / olive / heather grey / pink / yellow). System auto-generates 48 SKUs with consistent coding.
Fabric roll arrives: 80 m of 180 GSM cotton single-jersey in dye lot ABC-1845, shade 'navy 19-3950 TPX'. GRN captures all attributes. Multi-roll receipts allowed.
Production order: 1,000 t-shirts across 6 sizes. Cutting room loads marker for each size, captures actual fabric consumed vs theoretical, logs wastage. Marker efficiency vs benchmark visible.
Bundle barcode tracks 50 cut pieces through stitching, finishing, packing. Operator scan at each stage; real-time WIP shows count by stage per style per size per colour.
Cut fabric goes to printer with GST challan and EWB. System logs the deemed-supply deadline. When printed fabric returns, receipt closes the loop. ITC-04 quarterly auto-generated.
When picking fabric for a single garment order, system suggests rolls from the same dye lot or matching shade band. Cross-lot mixing requires approval with reason.
Buyers like Walmart, Target enforce 4-point inspection (defect points per 100 sq yards). Inspection logs defects, calculates points, releases or holds the lot per buyer threshold.
Every style tagged with season + collection. End-of-season report shows: sold-through %, dead-stock-%, marker efficiency per style. Inputs for next season planning.
Out-of-the-box features (no custom development needed):
One style + size list + colour list = N SKUs auto-created.
Fabric in metres; garment in pieces; cutting consumption metres-per-piece per size.
Marker per size, actual vs theoretical, wastage trend.
Native GST challans + EWB + ITC-04 quarterly for all wet-process outsourcing.
Per-lot shade attribute; auto-pick from same lot or matching band.
Configurable inspection per buyer; defect calc + accept/reject thresholds.
Indian regulatory requirements handled natively:
Rasathe Garments
Tirupur-based knitwear exporter, knitted T-shirts and innerwear for European buyers
"Style matrix item generation alone changed our pace. We were creating items in Tally for two weeks every season; now it's a half-day. Job-work tracking with embroidery and wash sub-vendors is automatic - we used to lose 2-3 challans every quarter and pay penalties. Last quarter, zero pending challans past 60 days."Measured outcomes
Yes. Define style + size list + colour list; the system auto-generates all SKUs with consistent coding (style code + size code + colour code). 50 styles x 6 sizes x 8 colours = 2,400 SKUs in minutes, not weeks.
Fabric items use metres as base UOM. Garment items use pieces. Cutting BOM defines metres-per-piece per size. Cutting room consumption is in metres; production output is in pieces. Inventory views show both with auto-conversion.
Yes. Each sub-process is a GST job-work transaction. System generates Form GST CHA challan + EWB when material moves to the sub-vendor. Receipt closes the cycle. ITC-04 quarterly auto-generated for all wet-process outsourcing.
Each fabric roll inwards captures dye lot ID and shade reference (TPX or buyer-defined). When picking fabric for a garment order, system suggests rolls from the same dye lot. Cross-lot mixing requires reason-coded approval, preventing shade-mismatch rejections.
Yes. Inspection plans are configurable per buyer (Walmart, Target, Marks & Spencer have different 4-point thresholds). Inspector logs defects per 100 sq yards; system calculates points; releases or holds lots based on buyer-specific accept/reject thresholds.
Every style is tagged with season + collection (spring-summer 2026, festive drop, basics). End-of-season report shows sell-through %, dead-stock %, marker efficiency, and styles by gross margin - inputs for next season's range planning.
Knitwear T-shirts are HSN 6109 (12% GST); knitted pullovers HSN 6110 (12%); woven men's shirts HSN 6205 (12%). Woven cotton fabric is HSN 5208 (5%). ERPDrive pre-loads HSN per item category.
Free 30-minute personalized demo using your actual products, BOMs, and pain points. Scheduled within 24 hours.