The gap between your dashboard and your bill
Monday, 07:15. Incomer demand crosses contract demand. Your EMS records the kVA peak. HT SCADA shows Furnace 3 in preheat. Forging Line 2 is ramping. The compressor house is online.
Friday, finance receives the DISCOM bill. MD charges moved. Energy units moved. Power factor may have moved.
Between those two moments, nobody received a work order with a name on it, a monthly rupee figure, and a due date.
That is the gap Stamped Energy closes. We do not replace your EMS or furnace SCADA. We connect to meters, SCADA, EMS exports, and bills you already run, then output prescriptions: what to change, why the data shows it, who owns it, effort required, monthly ₹ impact, tracked to completion and verified on the next electricity bill.
See the full flow on How It Works, including the five-step loop and a sample prescription card.
Where forging and heat treatment plants lose rupees
Standard dashboards show trends. They rarely assign the operational fix in rupees.
Shift-start maximum demand. Hot and warm forging lines, sealed-quench furnaces, and compressor houses often start together at shift change. On many HT industrial tariffs, MD charges can run 30–50% of the bill. One overlapping startup window often costs ₹2.5–4L per month in demand charges alone (industry benchmark for large forging and HT loads).
Furnace holding with no batch. In-house HT shops run sealed-quench lines, continuous annealing, and induction systems. Holding soak temperature over a quiet weekend with zero parts scheduled is pure cost. Benchmarks suggest 15–25% of furnace energy can be non-production-linked where setback discipline is inconsistent.
Compressed air drift. Leaks and unload running show up as rising specific power over weeks, not as a single alarm your EMS flags as urgent.
Multi-plant spread. Groups that compare sites in quarterly reviews often know one plant runs HT startup better than another. The better sequence rarely becomes a weekly rule with ₹ attached.
Opportunity | Typical benchmark range | What usually triggers it |
|---|---|---|
Total electricity bill | 12–20% reduction | Prescriptive action + bill verification |
MD charges | 15–25% reduction | Shift-start sequencing, often from meter + bill first |
Non-production energy | 10–20% flagged in 90 days | Furnace hold, idle loads, air system drift |
These are industry benchmarks, not guarantees. Your pilot replaces them with your numbers.
What Stamped adds that EMS and SCADA do not
Layer | What you likely have today | What Stamped adds |
|---|---|---|
Data | EMS kWh/kVA, HT SCADA tags, incomer meter, bill PDF | One time-aligned view: production, kW, tariff cost |
Insight | Charts, alarms, review slides | Anomalies tied to assets and shifts, quantified in ₹/month |
Action | Tribal knowledge, meeting notes | Prescriptions with owner, effort, ₹; WhatsApp to supervisors |
Proof | Estimated project savings | Potential vs realized ₹ reconciled to bill line items |
A running savings ledger you can defend in board review, not a screenshot from a trend chart.
With read-only integration first (Modbus, OPC-UA, MQTT, EMS export). No furnace control writes in phase one.
How the loop works on your plant
Every billing cycle runs the same sequence:
Connect - Incomer meter and utility bills first. Then SCADA, PLCs, CNCs, EMS feeds where available. No hardware retrofit program.
Observe - Baselines normalized to shift, batch, and process. A Monday 07:15 spike is compared to your production band, not a generic average.
Decide - Ranked prescriptions with root cause, monthly ₹ if executed, priority, assigned role.
Execute - Work items on WhatsApp to supervisors. Open, in progress, done.
Verify - Post-action consumption vs adjusted baseline. MD and energy lines reconciled on the next DISCOM bill.
The interactive walkthrough lives on stamped.work/how-it-works.
Worked example: shift-start MD at a forging and HT plant
Situation: Incomer hits 1,240 kVA at 07:15 Monday. Forging Line 2 and HT Furnace 3 preheat ramp together. Compressor house overlaps. Production is still climbing.
EMS view: kVA peak logged.
Stamped prescription:
Field | Example |
|---|---|
What | Stagger HT Furnace 3 preheat by 12 minutes vs Forging Line 2 startup on Mon/Wed/Fri |
Why | Seven of eight recent Mondays show kVA above CMD between 07:05–07:20; SCADA shows furnace preheat overlap |
Who | Shift electrical supervisor + HT operator |
Effort | Schedule change only. Zero capex. |
Impact | ₹38,000–80,000/month at current tariff (benchmark range; pilot calibrates) |
Verify | MD kVA and MD ₹ line on next billing cycle vs agreed baseline week |
The pattern repeats across large forging groups: not missing data, missing sequencing discipline with ₹ on the ticket.
Deployment for plants that already invested in EMS
If you already spent on EMS, SCADA, solar, and inter-plant reviews, the fair question is: why add software?
Because the remaining 10–20% (industry benchmark on total bill) usually sits in decisions no dashboard assigns:
Which furnace holds over an empty weekend
Which site's HT startup sequence is best, and whether others match it
Whether last month's air leak fix moved compressor specific power
Whether MD spiked from tariff structure or from three assets ramping together
Phase | Timing | Scope |
|---|---|---|
Pilot plant | Week 1–2 | Incomer + bill + HT SCADA or EMS export; first MD and tariff prescriptions |
Execution | Week 3–4 | WhatsApp-assigned actions; completion tracked |
Deepen | Month 2 | Compressor house / forging feeders, PLC tags if approved |
Verify | Month 3+ | Verified ₹ ledger; optional second site |
Pilot first. One verified saving on the bill before annual commitment.
Bottom line
Large forging and heat treatment plants do not need another monitoring layer. They need prescriptions their teams execute, and proof on the DISCOM bill.
Stamped Energy connects to what you already run, targets MD sequencing, furnace hold, and multi-plant variance, and closes the loop with verified ₹ savings. Industry benchmarks cite 12–20% total bill reduction and 15–25% MD reduction in comparable plants. Your pilot replaces benchmarks with your numbers.
Book a discovery call - we review your last three bills, integration path, and whether a single-plant pilot is justified. If the numbers do not support it, we say so.
