Parle Agro's real footprint — geography hierarchy, segments, and the SAP/ERP data-grain reality (which plants & sites report actuals vs region-level).
Plants & sites on SAP S/4 post transactions at site level; newer/export units & franchise bottlers still record at area/region. The view labels each so actuals are never confused with estimates.
Plants & sites on SAP S/4 — every transaction booked at site/line grain. Trust as-is.
Migrating plants & export desks — some postings still land at area level; allocation disaggregates them to site using installed plant assets, headcount and dispatch counts.
Newer/planned units & franchise bottlers — recorded only at region/area on legacy systems. The site figure is a modeled estimate until cutover.
1 · Resolve the site. Match legacy site IDs, segment names and addresses (Silvassa plant = Unit 4021 = West India) into one golden site record — you can't roll up what you can't match.
2 · Tag the grain. Every transaction carries its recording level (site / 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 sites by installed plant assets, headcount, dispatch counts and payroll — weights learned from on-SAP sites where both grains exist during cutover.
4 · Reconcile & learn. Allocated site sums must tie back to the area total; anomalies and duplicate distributor / channel records get flagged. As each site migrates to SAP, estimates flip to actuals — coverage is now 87% and rising.
Bubble size = revenue; color = operational health. Hover any site for detail and its lead brand.
Manufacturing geographies + export markets across Parle Agro's footprint.
Lead brand in parentheses where a scaled brand anchors the plant.
Bar color = data grain: green actuals · amber allocated · red region-only.
The site-level view — including which newer/export units still report at region level.
| Site / plant | State | Geography | Lead brand | Revenue | Site-grain | Recording |
|---|---|---|---|---|---|---|
| Silvassa / Dadra (flagship beverage · PET preform) | DN | West India (Maharashtra · Gujarat · HQ Mumbai) | Frooti | ₹400 Cr | 96% | Actuals |
| Ghaziabad / NCR (beverage) | UP | North India (NCR · Punjab · UP) | Frooti | ₹340 Cr | 94% | Actuals |
| Kolkata / West Bengal (beverage) | WB | East India (WB · Odisha · Northeast) | Frooti | ₹340 Cr | 82% | Allocated |
| Ahmedabad / Gujarat (beverage · water) | GJ | West India (Maharashtra · Gujarat · HQ Mumbai) | Bailley | ₹300 Cr | 92% | Actuals |
| Bhiwadi / Rajasthan (beverage · sparkling) | RJ | North India (NCR · Punjab · UP) | Appy Fizz | ₹300 Cr | 86% | Allocated |
| Mysuru / Karnataka (SMOODH dairy hub) | KA | South India (Karnataka · TN · Telangana) | SMOODH | ₹300 Cr | 92% | Actuals |
| Bhubaneswar / Odisha (water · beverage) | OD | East India (WB · Odisha · Northeast) | Bailley | ₹284 Cr | 70% | Region-only |
| Sonipat / Punjab-Haryana (water · beverage) | HR | North India (NCR · Punjab · UP) | Bailley | ₹260 Cr | 90% | Actuals |
| Chennai / Tamil Nadu (beverage) | TN | South India (Karnataka · TN · Telangana) | Frooti | ₹260 Cr | 84% | Allocated |
| Hyderabad / Telangana (beverage · sparkling) | TS | South India (Karnataka · TN · Telangana) | Appy Fizz | ₹220 Cr | 82% | Allocated |
| Pune / Maharashtra (beverage) | MH | West India (Maharashtra · Gujarat · HQ Mumbai) | Appy Fizz | ₹200 Cr | 85% | Allocated |
| Mumbai · Andheri (HQ · corporate)HQ | MH | West India (Maharashtra · Gujarat · HQ Mumbai) | Frooti | ₹50 Cr | 60% | Region-only |
| Exports desk (50+ countries) | EXP | Exports (50+ countries) | Frooti | ₹30 Cr | 70% | Allocated |