Sanjeevani Group· Sugar, ethanol, power & biogas manufacturing
One cane, seven revenue streams, and no live view of any of it
We spent weeks on the floor, then rebuilt procurement, process control and the ERP so the plant runs on data instead of trust.
- AI Transformation
- Industrial IoT
- SCADA Integration
- ERP
- Process Control
9.5%
Sugar recovery, up from 8.3%
The challenge
Sanjeevani is not a single product line. One raw input, sugarcane, fans out into seven revenue streams: sugar, exported power, ethanol and ENA, country liquor, compressed biogas, industrial chemicals and bio-manure. Almost every stream is fed by the waste of the stream before it. Bagasse from crushing fuels the boiler. Press mud and spent wash feed the biogas plant. Molasses feeds the distillery. Nothing is meant to leave the site unused.
That circularity is the source of the economics and the source of the risk. When one loop stalls, it starves the next. The plant runs as several coupled chains at once, and a stall anywhere degrades several revenue streams together. Yet the operation ran on email, paper and spreadsheets, and the systems that were supposed to represent it did not match what was happening on the floor.
We walked the plant before we proposed anything. The problems clustered into five areas:
- Procurement ran on discretion. A purchase officer collected quotations and presented a lowest-one, lowest-two, lowest-three shortlist to the MD. That officer controlled which quotes were shown and how they were ranked, so a favoured vendor could be positioned as the cheapest option. There was no vendor history feeding the next purchase, and off-season records were not maintained, so repeat orders were untraceable.
- Process data was written by hand. The parameters that govern sugar recovery, concentration and temperature at the pan station, were recorded manually or not at all. SOPs existed on paper but nothing enforced them on the floor. Recovery sat at 8.0 to 8.3 percent against a recognised target band of 10 to 12.
- Downtime was predictable but untracked. The season lost 266.8 hours to stoppages. Mill and boiler together accounted for 69 percent of it. A single cane-carrier drive shaft failure cost 24.8 hours. The failures recurred, but nothing tracked them as patterns.
- The ERP could not be trusted. Because vendor, store and accounts streams did not reconcile, a financial audit against the ERP surfaced a gap of roughly 300 crore between recorded and actual payments — a governance liability, not just a data problem, for a plant with a public shareholder base.
- Recovery was being lost at the pan station. The loss was not a hardware limit. It was the absence of enforced concentration and temperature control at the exact point where sugar concentration is decided.
What we built
Our design principle was consistent across every build: replace discretion with instrumented, logged, event-driven systems. Simple systems that work, not complex systems that look impressive. Every input becomes a record, every record is traceable, and deviations notify in real time.
Vendor and procurement system. A single flow from requisition to payment, with every step captured and every actor accountable. After receipt, engineering rates the vendor against what was actually specified, stores records fulfilment accuracy, and the officer adds a review. Each vendor carries a composite score built from quality, pricing, complaint history and delivery, and any vendor below threshold moves automatically to Under Review or Blacklisted.
PLC to SCADA integration. The layer that turned manual sheets into live plant data. Point sensors capture the exact temperature and concentration at the pan station and evaporation. Where a human reading is needed, the operator enters the value or submits a photo through a mobile app, so the reading is timestamped and attributable. Any out-of-band value alerts immediately.
ERP consolidation. A connected ERP is being built to close the reconciliation gap. Vendor, store, process and accounts streams share one source of truth, so the numbers match the physical reality of the plant and an audit reconciles instead of diverging.
Pan-station parameter control. With real parameters flowing and SOPs enforced through logged entry, concentration and temperature can be held at the values that maximise recovery. This is the direct lever behind the recovery gain.
The results
Every improvement is operational at the point of action and financial on the balance sheet.
- Sugar recovery moved from 8.0–8.3 percent toward 9.0–9.5 percent. Every additional gram of sugar per unit of cane is direct margin on the same input cost.
- Effective throughput rose from about 4,500 toward 7,500 TCD, achieved by removing downtime rather than adding hardware. Idle plant time became product.
- A 300 crore audit gap was identified and put on a path to closure through the connected ERP, protecting the balance sheet and the board.
- Procurement became traceable and auditable, closing procurement leakage on every future cycle.
- Process control went live. Paper and Excel were replaced by real-time, sensor-fed, timestamped data with deviation alerts.
Risk points closed: quotation framing, vendor whitewashing, untraceable repeat orders, hand-written process fabrication, financial divergence and silent deviation. Each control works by removing an unlogged human decision and replacing it with a traceable one.
At a glance
- /Recovery lifted from 8.3% toward 9.5% on the same cane
- /Effective throughput from ~4,500 to ~7,500 TCD, no new capital
- /266.8 hours of seasonal downtime made visible, 69% traced to two assets
- /300 crore audit gap identified and being reconciled
- /Procurement scored, logged and auditable
Built with
- PLC & SCADA integration
- Industrial IoT sensing
- Mobile data capture
- Composite vendor scoring
- Connected ERP
- Real-time deviation alerting
- Process control
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