The operational twin — for one site: its installed plant assets, fleet health, quality & compliance audits, maintenance posture, non-sugar contracts and crew, with the data grain that says how bankable its P&L is.
6 of 15 sites report at true site-grain actuals — leaving ₹2,611 Cr of revenue on softer grain. Convert the 9 estimated sites to actuals to make the operational P&L bankable, then mine the healthy base to integrate the cane streams and grow the non-sugar book.
6 of 6 headline metrics improving vs prior · still off target: Plant Uptime / Capacity Utilization 86.0% vs 92.0%, On-Time Dispatch 95.5% vs 98.0%, Sugar Recovery / First-Quality 96.5% vs 99.0%
₹2,611 Cr of revenue sits on SAP-allocated or region-only grain — diligence discounts what it can't verify.
₹2,515 Cr of ethanol & engineering (non-sugar) revenue sits on a fleet of 1,545 plant assets — the warmest expansion surface Triveni has.
This is the view the manufacturing and maintenance teams act on. Each site is a living asset — pick one and see its assets by type, what's healthy vs degraded vs down, its next quality / compliance audit, the assets below the SCADA baseline, and its non-sugar contracts. The Triveni thread runs through it: the data grain tells you how much of this site's number you can bank. It's the single-site drill-down for Org Roll-up 360.
Plant assets · health · quality · maintenance · contracts · crew — plus the data grain and a next best action.
Maintenance drift tracks data-grain: low-coverage / off-ledger sites carry more assets past their service window.
Routed to the open non-conformances above; line telemetry opens the work order, the maintenance team closes it.
255 healthy plant assets, clean audits. Point the cross-segment flywheel here: attach ethanol + co-gen onto the cane-crushing base.