The operational twin — for one site: its installed plant assets, fleet health, quality & food-safety audits, maintenance posture, organized + export contracts and crew, with the data grain that says how bankable its P&L is.
2 of 14 sites report at true site-grain actuals — leaving ₹1,930 Cr of revenue on softer grain. Convert the 12 estimated sites to actuals to make the operational P&L bankable, then mine the healthy base to cross-sell the categories and grow the organized + export book.
6 of 6 headline metrics improving vs prior · still off target: Plant Uptime / Capacity Utilization 84.0% vs 92.0%, On-Time-In-Full (OTIF) Dispatch 94.5% vs 98.0%, Lab First-Pass / Quality Right-First-Time % 96.0% vs 99.0%
₹1,930 Cr of revenue sits on SAP-allocated or region-only grain — diligence discounts what it can't verify.
₹1,190 Cr of organized-channel + export revenue sits on a fleet of 492 plant assets — the warmest expansion surface Everest 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 / food-safety audit, the assets below the SCADA baseline, and its organized + export contracts. The Everest 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.
176 healthy plant assets, clean audits. Point the cross-category flywheel here: attach pure + whole ranges onto the blended-masala base.