The operational twin — for one plant: its filling / PET-preform / dairy lines, fleet health, quality & compliance audits, maintenance posture, power-brand output and crew, with the data grain that says how bankable its P&L is.
5 of 13 plants report at true site-grain actuals — leaving ₹1,684 Cr of revenue on softer grain. Convert the 8 estimated sites to actuals to make the operational P&L bankable, then mine the healthy base to add new-category lines and grow the power-brand book.
6 of 6 headline metrics improving vs prior · still off target: Plant Capacity Utilization 82.0% vs 90.0%, On-Shelf Availability 92.0% vs 96.0%, First-Pass Quality Yield 96.5% vs 99.0%
₹1,684 Cr of revenue sits on SAP-allocated or region-only grain — franchise bottling & new dairy lines dilute what can't be verified.
₹2,540 Cr of power-brand revenue sits on a fleet of 1,800 monitored lines — the warmest capacity-expansion surface Parle Agro has.
This is the view the manufacturing and maintenance teams act on. Each plant is a living asset — pick one and see its lines by type, what's healthy vs degraded vs down, its next quality / compliance audit, the lines below the MES baseline, and its power-brand output. The Parle Agro thread runs through it: the data grain tells you how much of this plant's number you can bank (owned lines vs franchise bottling). It's the single-plant drill-down for Org Roll-up 360.
Filling / PET / dairy lines · health · quality · maintenance · power-brand output · crew — plus the data grain and a next best action.
Maintenance drift tracks data-grain: low-coverage / off-ledger plants carry more lines past their service window.
Routed to the open non-conformances above; line telemetry opens the work order, the maintenance team closes it.
225 healthy lines, clean audits. Point the cross-line flywheel here: add a dairy (SMOODH) or water line onto the filling base.