Arvind's real footprint — geography hierarchy, divisions, and the SAP/ERP data-grain reality (which plants report actuals vs region-level).
Plants on SAP S/4 post transactions at plant level; newer/export units still record at area/region. The view labels each so actuals are never confused with estimates.
Plants on SAP S/4 — every transaction booked at plant/line grain. Trust as-is.
Migrating units & export desks — some postings still land at area level; allocation disaggregates them to plant using installed machines, headcount and order counts.
Newer/planned units — recorded only at region/area on legacy systems. The plant figure is a modeled estimate until cutover.
1 · Resolve the plant. Match legacy mill IDs, division names and addresses (Bengaluru garment factory = Unit 4021 = South India) into one golden plant record — you can't roll up what you can't match.
2 · Tag the grain. Every transaction carries its recording level (plant / area / region) and a confidence score, so the view shows actuals vs estimates instead of pretending they're the same.
3 · Disaggregate. For area-level postings, a driver model splits the total to plants by installed machines, headcount, order counts and payroll — weights learned from on-SAP plants where both grains exist during cutover.
4 · Reconcile & learn. Allocated plant sums must tie back to the area total; anomalies and duplicate brand-customer records get flagged. As each plant migrates to SAP, estimates flip to actuals — coverage is now 76% and rising.
Bubble size = revenue; color = operational health. Hover any plant for detail and its division.
Manufacturing geographies + export markets across Arvind's footprint.
Division in parentheses where a scaled engine operates the unit.
Bar color = data grain: green actuals · amber allocated · red region-only.
The plant-level view — including which newer/export units still report at region level.
| Plant / unit | State | Geography | Division | Revenue | Plant-grain | Recording |
|---|---|---|---|---|---|---|
| Europe export desk | EU | Export – Europe | Woven / Shirting | ₹1,750 Cr | 70% | Allocated |
| Americas export desk | US | Export – Americas | Denim (heritage core) | ₹1,650 Cr | 68% | Allocated |
| North India sales | DL | North India | Woven / Shirting | ₹750 Cr | 72% | Allocated |
| Santej (Woven + R&D) | GJ | Gujarat (mfg hub) | Woven / Shirting | ₹650 Cr | 98% | Actuals |
| Naroda (HQ · Denim)HQ | GJ | Gujarat (mfg hub) | Denim (heritage core) | ₹600 Cr | 100% | Actuals |
| AMD Unit (Santej cluster) | GJ | Gujarat (mfg hub) | AMD – Human Protection | ₹560 Cr | 94% | Actuals |
| Ranchi (Garments) | JH | Rest of India | Garments (programs) | ₹520 Cr | 78% | Allocated |
| Bengaluru (Industry-4.0 Garments) | KA | South India | Garments (programs) · 2012 | ₹503 Cr | 80% | Allocated |
| Varanasi (Garments) | UP | Rest of India | Garments (programs) | ₹360 Cr | 74% | Allocated |
| Asia / MEA export desk | AE | Export – Asia / MEA | Denim (heritage core) | ₹350 Cr | 45% | Region-only |
| Composites (PD JV) | GJ | Gujarat (mfg hub) | AMD – Composites / Industrial · 2012 | ₹330 Cr | 82% | Allocated |
| MP / Odisha (planned) | MP | Rest of India | Garments (programs) | ₹270 Cr | 45% | Region-only |
| Envisol (Water / ZLD) | GJ | Gujarat (mfg hub) | Environmental (Envisol) / Circularity · 2020 | ₹250 Cr | 80% | Allocated |
| Khatraj (Weaving) | GJ | Gujarat (mfg hub) | Woven / Shirting | ₹220 Cr | 96% | Actuals |
| South India sales | TN | South India | Knits | ₹200 Cr | 50% | Region-only |
| Kalol (Processing) | GJ | Gujarat (mfg hub) | Knits | ₹180 Cr | 95% | Actuals |
| Mehsana (Spinning) | GJ | Gujarat (mfg hub) | Denim (heritage core) | ₹160 Cr | 95% | Actuals |