Depth bar: Due-diligence dossier for Stamped Energy outreach. Estimates marked [~]. Directory phones [dir]. Never invent bill numbers, court outcomes, or emails.

1. Company overview & snapshot

1.1 Legal identity & corporate structure

Superhouse Limited — listed NSE SUPERHOUSE / BSE 523283, CIN L24231UP1980PLC004910, incorporated 14 Jan 1980 (formerly Amin Sons Leather Finishers / Superhouse Leathers). Registered office 150 Feet Road, Jajmau, Kanpur 208010. CMD Mukhtarul Amin; DMD Mohammad Shadab; CFO Krishna Dutt Misra. Open charges appear on aggregators — directional only.

1.2 What they make & where money comes from

Leather (LWG tanneries), footwear, garments, leather goods, PPE/equestrian lines. Revenue ~₹665 Cr FY25 (lead); ~₹643 Cr FY23 aggregator snapshot also seen — use latest AR. Export-heavy footwear/leather mix. Thin ROE noted in lead — cost-sensitive buyer for opex pilots.

1.3 Plants, addresses & footprint

Pilot candidates: Jajmau tannery campus (150 Feet Road) and Unnao Site II (D-15/B UPSIDC). Phones 0512-2462124/2465995; Unnao +91 515 2829037. Email share@superhouse.in. Prefer one tannery HT account first (wet-end + dryer), not footwear HQ narrative.

1.4 Leadership & CRM map

Primary: Meraj Siddiqui, Sr Automation & Industrial Maintenance (LinkedIn in/meraj-siddiqui-1a7b4b30) — electrical distribution, PLC/SCADA. Secondary: Mohammad Shadab (DMD), Utkarsh Srivastava (EHS), Mukhtarul Amin (CMD). Path: maintenance/electrical → plant head → DMD.

1.5 Recent news (24 months) & timing for Stamped

Group sustainability site emphasises ETP/wastewater and energy-efficient processes. Jajmau tannery cluster remains under NGT/UPPCB CETP monitoring historically — cluster context, not a named Superhouse conviction in materials reviewed. Timing: DG/outage cost + dryer SEC.

2. Energy profile

DISCOM / supply (name early): KESCO (Kanpur Electricity Supply Company; UPPCL family). Unnao may sit on a different UP DISCOM circle — confirm invoice header. Sister tokens for parser: MVVNL, PuVVNL, DVVNL.

2.1 Bill band, tariff & demand

Three LWG tanneries + finishing: hypothesis ₹35–₹100 lakh/month [~] on the largest HT account — verify ≥ ₹30L. Outage-driven DG cost may exceed tariff energy — ask DG run-hours ₹ separately.

2.2 Generation, fuel & renewables

DG critical in Jajmau. Steam/thermal oil for drying. Solar not evidenced as dominant. ETP aeration power material.

2.3 EnMS, PAT, ISO, BRSR

Listed — check AR/BRSR. LWG ratings historically for units (bronze claims in industry chatter — confirm certificate). ISO 50001 not evidenced publicly. EHS function active (LinkedIn hire signals).

2.4 Likely ₹ leak categories (hypothesis)

Drum drive + paddle coincidence; dryer/HT hold; finishing HVAC; compressor base; ETP aeration overnight; feeder trip production waste; PF.

3.1 Process flow & critical loads

Build a one-page process map in discovery for Superhouse Jajmau/Unnao: raw hides → beamhouse/tanning drums → sammying → drying/HT → finishing → cutting/footwear or sale of finished leather; ETP/CETP interface. Mark batch starts, heat-up/hold, changeovers, packing starts, utility headers and large motors. The key question is not simply “what consumes kWh?” but “which controllable operating event produces cost at the demand, tariff, PF or baseline level?” Capture production constraints before recommending sequencing. Quality, safety and customer delivery windows constrain what can move into lower-cost ToD slots.

Critical loads to inventory: incomer HT, process feeders (SMS/reactors/wet-end), furnace/TFH/HVAC banks, compressors, cooling towers, pumps, finishing/packaging motors, and any captive or DG bus. Ask which loads share a maximum-demand ratchet and which have separate demand contracts. For multi-block campuses, map which buildings share the pilot meter boundary.

3.2 Shifts, seasonality, production pattern

Determine if the site is continuous, campaign-based, multi-shift or heavily seasonal. Record scheduled breaks, weekly shutdowns, maintenance windows, SKU/changeover frequency and dispatch-driven overtime. A valid bill comparison must normalise for production volume, weather-sensitive HVAC, production mix and commissioning/ramp-up. If throughput is unstable, set success metrics around avoidable peaks, idle hours and verified invoice components rather than gross kWh alone. Ask which month in the last year produced the highest billed MD and what co-started that day.

3.3 Automation, metering, SCADA/EMS/DCS

No plant-specific SCADA/EMS vendor is assumed unless independently sourced for this dossier. Start with a data-access inventory: main-meter interval data; feeder/sub-meter exports; DCS/PLC historian tags; boiler/TFH/HVAC logs; compressor/chiller status; production schedule; and two to six KESCO bills. Path A is a read-only connection/export from existing systems. Path B is structured CSV or meter export plus a production-event log. Both paths must exclude PLC writes, recipe changes and unapproved remote control. Cyber and OT approvals should be recorded before data leaves the site.

3.4 Capex / tech projects affecting energy

Ask about new lines, automation, solar, open access, utility upgrades, VFDs, compressor replacement, furnace/chiller work and product launches in the last 24 months. These can create a false “before” baseline and may have warranties or safety constraints. Stamped should position post-capex work as operational verification: ensure the asset is scheduled and used to achieve the expected bill result, rather than claiming credit for capex it did not cause.

4. Stamped Energy fit analysis

4.1 ICP scorecard

The account passes to a 20-minute discovery call, not automatically to a full integration.

4.2 Fit score rationale

Kit fit score 9/10 reflects process electric intensity, plausible HT exposure and a reachable plant/owner path. Score deductions for disclosure gaps, multi-entity groups, listed-company procurement, integrity flags, or bill uncertainty are handled in §6. The initial call must explicitly qualify bill band, site authority, accessible data and one measurable problem before committing engineering effort.

4.3 Wedge (parser-critical)

The strongest wedge is: drum dryer and finishing HT hold plus feeder-trip waste that show up on the KESCO bill — assign ₹ owners and verify on the next invoice

4.4 Objections & competitors

Likely alternatives: internal electrical/continuous-improvement teams; existing EMS/SCADA analytics; ISO/energy consultant; equipment OEM; “we already have solar/open access”; and for listed names, corporate sustainability routing. Response: Stamped does not replace controls or sell capex; it prioritises operational prescriptions, attaches an owner and reconciles results to the KESCO bill. For a sophisticated site, offer a small read-only proof with explicit security/data boundaries. For a private site, lead with a concrete invoice problem rather than AI, ESG or digital-transformation language. If an EMS incumbent is present, emphasise read-only layer + WhatsApp assignment + invoice M&V.

4.5 Pilot design

Start with one meter boundary or one controllable utility/process cluster for 90 days (90-Day Bill Verification Program). Weeks 1–2: validate KESCO bills, meter coverage, production context and baseline. Weeks 3–8: issue weekly ranked prescription cards covering MD sequencing, idle loads, thermal hold, air/HVAC, PF or tariff dispatch. Weeks 9–12: compare normalised bill components and production-adjusted indicators. Success: at least one action has an owner, measurable execution evidence and a defensible ₹/invoice movement. Kill criteria: bill below threshold, no data access, no plant owner, unstable operation without usable normalisation, or no controllable lever. Rollout path: additional feeders or sister units only after invoice proof.

5. Before you reach out

5.1 Discovery checklist

• Confirm the exact legal entity, site address, KESCO account name, tariff and whether this is an HT/EHT bill.
• Verify monthly bill band in ₹ lakh/₹ Cr, sanctioned demand, billing demand and PF line.
• Identify the highest-load process, utility owner, shift pattern and current production constraint.
• Ask for the most recent MD event: when, what started, what it cost and who acted.
• Ask whether heaters/thermal systems, compressors, chillers, AHUs or pumps remain live during breaks/changeovers.
• Confirm existing EMS/SCADA/historian and what can be exported read-only.
• Confirm solar/captive/open-access context before discussing tariff-smart dispatch.
• Identify whether a site sponsor can approve a bounded 90-day proof and who must clear IT/OT.
• Request two KESCO invoices, interval demand/energy data and a production/event calendar.
• Define a success measure tied to bill lines and production normalisation, not a generic dashboard KPI.
• Confirm champion tenure and email before first outreach send.
• Record any integrity/regulatory open items from §6.1 before proposing a commercial pilot fee.

5.2 Do not lead unwisely

• Do not lead with dashboards, AI buzzwords, generic kWh claims or a promised percentage reduction.
• Do not lead with ESG, carbon or ISO reporting first; lead with a controllable ₹ line on the KESCO bill.
• Do not imply control-system writes, replacement of the EMS, compressor maintenance or solar EPC.
• Do not state the estimated bill band as fact; ask to verify it.
• Do not attach unrelated regional NGT/PCB matters to this company without named entity evidence.
• Do not open with pollution/NGT fear; do not pitch footwear branding.

5.3 Opening hooks (email / call / WhatsApp)

“At Jajmau, dryer/HT hold and feeder trips waste beams and set KESCO MD — we assign ₹ read-only.” Then ask which hurts more today—MD at starts, utility hold through changeovers, or off-shift auxiliaries. A valid next step is two bills plus the correct electrical POC, not a platform demo.

Extended operating hypotheses (call-prep depth)

Treat the following as checklists, not accusations. For each item, capture owner, constraint, last MD event date, and whether the load can move without quality loss. Stamped only acts where the plant owner accepts the prescription and the meter boundary can prove the rupee line on the next DISCOM invoice.

Demand-side sequencing. Map the top five motors or furnaces by kW rating and note whether their start windows overlap at shift change, after planned stops, after quality holds, or after utility recovery. Build a simple coincidence matrix for a typical production day. If two or more assets above roughly 20 percent of contract demand can start within the same 15-minute billing window, that window is a candidate for a first prescription card.

Thermal and hold energy. For furnaces, thermic-fluid heaters, dryers, chillers or air-handling units, ask what temperature or pressure is held during breaks, changeovers, waiting for quality clearance, or waiting for the next campaign. Idle hold often dominates avoidable kilowatt-hours even when operators believe the plant is already efficient. Distinguish safety-minimum hold from convenience hold and document who can authorise a change.

Compressed air and pumped loops. Inventory compressor count, pressure setpoints, unloaded run hours, and leak culture. For process pumps and cooling-water circuits, ask whether variable-frequency drives or on/off control exists and whether loops stay live for an entire weekend. These are common Path B wins when historian tags are missing but shift operators already know the waste pattern.

Tariff, power factor and open-access banking. On the invoice, separate energy, demand, power-factor incentive or penalty, and any open-access or solar adjustment lines. A renewable or open-access story can still leave maximum demand untouched. Banked units that expire or mismatch production timing are a separate commercial conversation from technical specific energy consumption.

Normalisation protocol for the 90-day program. Agree a production denominator (tonnes, batches, kilolitres processed, pairs, or operating hours), excluded shutdown days, weather adjustment for HVAC where relevant, and which invoice lines count as success. Without normalisation, a quieter month looks like a false win and destroys trust with technical buyers. Record the baseline window in writing before week-three prescriptions begin.

Security and OT boundary. Document the allowed interface (CSV export, historian read replica, supervised screen-share export), retention period, named data custodian, and that Stamped never writes PLC or DCS setpoints. Put this in the first scoping memo so IT or OT approval does not become a late surprise that burns a champion.

Commercial kill criteria (explicit). End the pilot early if: the bill gate fails; no named owner appears after week two; data is delayed more than two billing cycles; production mix changes so violently that normalisation is impossible; or compliance holds prevent any operational change. A clean kill protects the relationship better than a forced percentage claim.

Peer and cluster use. After invoice proof on one feeder, discuss sister feeders or nearby peer plants only as a second conversation. Do not sell a multi-site master agreement on first contact. For group companies, keep one CRM thread and one success story before expanding.

Finance and bill literacy. Ask who in accounts or works pays the HT bill, who disputes demand charges with the DISCOM, and whether anyone currently reconciles feeder estimates to the invoice. If nobody owns that reconciliation, Stamped’s bill-verification loop is itself the product, not a side feature of another dashboard.

People and shift reality. Identify which supervisors can actually stagger a start without waiting for board approval. A prescription without a shift owner dies in WhatsApp unread. Prefer two or three executable cards per week over a fifty-page audit that nobody implements.

6. Risks, flags, controversies & sources

6.1 Integrity / controversy / regulatory (search explicitly)

• Jajmau CETP / NGT cluster (context): NGT/UPPCB materials historically address CETP capacity and tannery effluent conveyance at Jajmau (e.g. 2022 status reports). This is cluster regulation, not a finding that Superhouse was uniquely non-compliant. Do not allege.
• Company-specific lawsuits / GST raids / fraud / recalls (2024–2026): none found establishing adverse outcomes in July 2026 search (Superhouse Kanpur + NGT|GST raid|lawsuit|fraud|labour).
• Labour: none named.
• Financial: thin ROE / open charges — commercial caution, not scandal.

Positive initiatives / energy posture (also searched): LWG manufacturing claims; ETP investment narrative; listed BRSR/annual disclosures; multi-unit network for later rollout.

6.2 Data quality flags

• The KESCO service, bill band, sanctioned demand, tariff and site-meter boundary are research hypotheses unless supported by an actual invoice.
• Leadership titles, email patterns and LinkedIn availability must be confirmed immediately before outreach.
• Process, shift and automation details contain informed inference where public site disclosures are thin.
• Separate plant-specific fact from group-level ESG, revenue, certification and capacity disclosures.
• Confirm Jajmau vs Unnao HT account and KESCO vs other DISCOM on invoice.

6.3 Sources consulted

• superhouse.in; superhousegroup.com; Moneycontrol management page
• LinkedIn Meraj Siddiqui, M Shadab, Utkarsh Srivastava
• NGT Jajmau CETP status materials (cluster context)
• UP lead report; BSE/NSE company facts

Extended call-prep narrative (Stamped field use)

B1. First 20 minutes of discovery

Open with process respect, not software. Confirm legal entity on the invoice, DISCOM name, and who owns the largest feeder MD event in the last 90 days. Ask for two invoices and one production calendar export before any platform demo. If the champion cannot produce bills within a week, treat the opportunity as stalled — Bill Verification Program without invoices is theatre. Record whether Path A (historian/meter export) or Path B (CSV) is realistic given OT policy. Confirm the economic buyer who can approve a Rs 2–5 lakh [~] fixed 90-day fee without a full ERP tender.

B2. Prescription card discipline

Every recommendation must name: event, owner, due date, expected rupee line on the DISCOM invoice, operational constraint, and evidence of execution. Cards without owners are deleted. Cap weekly cards at five so plant teams are not flooded. Prefer MD sequencing and idle-hold cuts before exotic tariff products. Never propose changing validated recipe, membrane current, sterile pressure, or Tempcore quench parameters. If quality or safety forbids a schedule change, mark the lever as blocked and move on — credibility beats aggressive savings claims.

B3. Verifying savings without gaming

A lower bill alone is not success if tonnes, pairs, or batches fell. Normalise against a production proxy agreed in week 1. Document holidays, forced outages, new-line commissioning, captive/solar settlement changes, and weather-sensitive HVAC. Keep a decision ledger shared with the plant: recommendation, owner, status, expected vs observed invoice delta. Present kill or expand at day 90 with the same ledger — this is how Stamped differs from audit PDFs that never close.

B4. Competitive and incumbent handling

If the site has EMS/SCADA/BMS, OEM analytics, ISO consultants, or solar EPCs, congratulate the spend and ask what residual bill lines still surprise them monthly. Position Stamped as the closure layer: rupee assignments and invoice reconciliation. Refuse head-to-head dashboard bake-offs. If Gujarat, Panipat, or Noida corporate IT appears, keep plant electrical as the proof owner and let corporate rubber-stamp after a verified bill line — not before.

B5. Geographic and cluster logistics

Batch 3 spans Mandi Gobindgarh, Paonta/Derabassi/Rajpura, Ghaziabad/Muzaffarnagar, and Kanpur–Unnao. Plan field days by corridor. Carry printed one-pagers: Fit score, DISCOM hypothesis, strongest wedge sentence, and two discovery questions. After each visit, update extras field intel — especially corrected phones, electrical names, and whether the bill cleared Rs 30 lakh/month.

B6. Messaging hygiene for this batch

Owner-operated steel/leather accounts tolerate Hindi-friendly WhatsApp and short calls. Listed pharma/chemical accounts prefer email plus LinkedIn with technical depth. Never open with controversies (GST/Excise history, EuGMP observations, rating actions) — those are internal briefings only. Always name DISCOM early in research-backed prep sheets so call-prep UI can render correctly.

6.4 Evidence discipline and next research actions

This dossier separates three evidence classes. Verified public facts are sourced corporate disclosures, official filings, certification material and named releases. Directional operating hypotheses use the disclosed industry/process profile to identify what should be checked; they are not claims about a specific machine, event, bill or control failure. Commercial estimates—especially electricity spend—remain estimates until the site provides a current invoice and production context.

Practical sequence after first contact: (1) verify entity and invoice ownership; (2) collect two KESCO invoices and document tariff, demand and PF lines; (3) identify the top three load events with the electrical/utility owner; (4) map production constraints that cannot be moved; (5) agree the smallest controllable boundary for a 90-day trial. For any invoice-derived opportunity model, calculate demand, energy, reactive/PF and applicable tariff components separately. Normalise against operating hours or tonnes/batches; a lower bill is not proof of operational savings if production fell. Security and governance should be addressed before data transfer. Treat adverse information proportionately: a negative search does not prove clearance; a regional proceeding is not evidence against an unrelated site. Re-check material sources and contact tenure immediately before a campaign send.