1. Company overview & snapshot

1.1 Legal identity & corporate structure

This record must be treated as an entity-resolution dossier, not a confirmed company profile. Searches did not establish a legal entity called “Rama Oil Refinery” at Rampura Phul/Raman. The geographically strongest match is directory-listed Rama Cotton Ginning and Pressing Unit, Refinery Bypass, Talwandi Road, Raman, Bathinda, Punjab. The listing names Ashok Gupta and Rajat Gupta, phone 9216425002 and rajatgupta21@yahoo.com. IndiaBiz independently identifies Rajat Gupta as Rama Cotton’s primary contact, but warns its data may be archival.

No CIN, GSTIN, incorporation date, audited financials, employee count, company website, LinkedIn company page or formal corporate structure could be verified for this local unit. The reasonable working assumption is proprietor/family ownership, but that is an inference from directory-format data—not a legal conclusion. The contact data should be verified by phone before any email sequence.

The alternative entity is HPCL-Mittal Energy Limited (HMEL), Guru Gobind Singh Refinery, near Phullo Khari/Raman Mandi. It is the region’s actual large refinery, a far larger HPCL–Mittal joint-venture complex, but it is not “Rama.” It must not be treated as a subsidiary, plant or trading name of Rama Cotton. Other “Rama” cotton/oil businesses found online are in different cities and should not be merged into this account.

1.2 What they make & where money comes from

The confirmed directory category is cotton ginning and pressing: receiving seed cotton, separating lint and seed, cleaning/handling lint, and baling it for trade or textile customers. There is no reliable evidence that the Raman unit crushes cottonseed or operates an edible/non-edible oil refinery. The word “oil” in the lead name may be a user shorthand, a group connection, or a mistaken reference to the nearby HMEL refinery.

If it is only a seasonal gin and press, revenue and electricity use can be materially below Stamped’s target. If there is a linked cottonseed expeller, cake/meal, refining, dryer or multiple-press campus, the load profile and potential bill are higher. This distinction is the first commercial question.

1.3 Plants, addresses & footprint

The only supported address is Refinery Bypass, Talwandi Road, Raman, Bathinda, Punjab. “Raman” is sometimes rendered Raman Mandi/Raman in directory sources. There is no validated satellite footprint, plot number, transformer size or second facility. Do not write “Rampura Phul factory” in outreach; Raman and Rampura Phul are related Bathinda-belt locations, not the same town.

1.4 Leadership & CRM map

Rajat Gupta is the first contact because two directories name him; Ashok Gupta is the only named secondary contact. Neither a role title nor a LinkedIn URL is verified. Phone/WhatsApp qualification is more defensible than emailing an old personal Yahoo account. If the business clears the bill gate, ask who operates the transformer, press floor, dryer/boiler and monthly PSPCL payment; that person—not an unverified “energy head”—is the operational champion.

1.5 Recent news (24 months) & timing for Stamped

No credible news, expansion, certification, enforcement, tender or capex item for this exact unit was found. Cotton-ginning economics are seasonal and weather/crop dependent, so the best moment is when operations are active and the current PSPCL bill reflects normal peak load. A refinery-oriented pitch is actively harmful unless HMEL is confirmed.

2. Energy profile

DISCOM / supply: PSPCL. Raman/Bathinda industrial supply is within PSPCL territory. Connection category and voltage are unknown.

2.1 Bill band, tariff & demand

The monthly bill is unknown. For a standalone seasonal gin/press, a realistic planning range could be below ₹5 lakh to ₹25 lakh/month in many periods [~]; a multi-line campus with drying, seed crushing/oil processing or substantial seasonal throughput might reach ₹30 lakh or more [~]. Neither is a fact about Rama Cotton. The account is a qualify-or-exit prospect until a recent peak-season PSPCL bill, demand kVA and operating months are provided.

2.2 Generation, fuel & renewables

No public solar, captive generation, DG, boiler, dryer fuel or open-access procurement was found. Cotton processing often has both electric motor loads and heat needs, but that general industry pattern must not be attributed to this plant. Ask directly whether it has dryers, seed oil extraction, a boiler and diesel generators.

2.3 EnMS, PAT, ISO, BRSR

No ISO 50001, PAT, BRSR, energy award or public audit signal was found. The absence is a public-information gap, not evidence that no energy controls exist. An owner-operated unit may track bills and generator fuel without a formal EnMS.

2.4 Likely ₹ leak categories (hypothesis)

Conditional on a ginning/pressing process, test press and gin motor demand overlap, pneumatic/dust-extraction base load, conveyor/fan idle running, lighting, compressor leaks and poor PF. If a dryer or expeller exists, establish its fuel/electric split. No saving number should be offered before identifying actual loads.

3. Operations, equipment & digital stack

3.1 Process flow & critical loads

The assumed flow is seed-cotton receipt → cleaning/pre-cleaning → ginning → lint handling/pressing → bale dispatch, with seed separation for sale or onward processing. Critical electrical loads typically include gin stands, bale press hydraulics, conveyors, fans/dust extraction, compressors and lighting. This is an industry-model hypothesis only; confirm plant configuration.

3.2 Shifts, seasonality, production pattern

Cotton ginning normally clusters around the crop/market season; this creates high-load and low-load months that can invalidate a simple before/after bill comparison. Establish start/end dates, shift count, daily bales and whether the plant is currently operating. A 90-day programme that spans idle season has poor value.

3.3 Automation, metering, SCADA/EMS/DCS

No SCADA, EMS, PLC vendor, historian or sub-metering evidence was found. Start with Path B: bill, incoming meter interval data if retained, manual shift/production record and a walk-through. If HMEL is actually intended, this entire assumption set is invalid: its continuous refinery/petrochemical utilities, DCS and OT-security environment require a separate enterprise dossier.

3.4 Capex / tech projects affecting energy

None located. Ask whether a newer press, ginning line, solar plant, capacitor bank, dryer or transformer changed the baseline in the last two seasons.

3.5 Site-verification plan before any technical claim

The site needs a physical and commercial identity check before Stamped creates a load model. Ask the contact to confirm the trade name appearing on the PSPCL bill, consumer number, sanctioned load, transformer location and whether the listed Refinery Bypass address is the operating gate. A photograph of the bill header and a phone-led walkthrough are sufficient for this first gate; neither requires a sensitive production-data request. If the bill is in a different proprietor or group-company name, record that entity rather than silently continuing with “Rama Oil.”

On the walkthrough, identify whether the campus contains only ginning/pressing machinery or also seed storage, an expeller, oil filtration/refining, boiler/dryer, cottonseed-cake handling or an unrelated tenant. The distinction changes both the electricity surface and who controls it. A press floor may have a small number of high-demand hydraulic and motor loads; an oil-processing extension can introduce pumps, heaters, cooling, material handling and longer operating hours. Equally, a separate HMEL-related contractor or facility must not be collapsed into this prospect because being in the same geographic corridor does not create a common bill or buying path.

For a genuine gin, make the first energy map deliberately simple: incoming transformer/incomer; gin-stand bank; press hydraulics; seed/lint conveyors; dust-extraction fans; compressor; lighting; and any dryer. Mark which assets can be switched, sequenced or held by the plant team without affecting cotton quality or worker safety. Record the normal start sequence, shift handover, daily bale count, breakdowns and compressor pressure. These facts make it possible to reject generic “energy-saving” stories and assess whether a peak is operationally movable.

3.6 Seasonal M&V method

Seasonality is the largest analytical risk. Cotton arrivals, moisture, crop quality, market prices, rain interruptions and dispatch constraints can change both throughput and electrical draw. A lower PSPCL invoice after the season slows is not a software result. If the site qualifies, agree a baseline made of comparable active production weeks, not simply the previous month. Pair each bill and interval-demand period with operating days, approximate seed-cotton intake, bales produced, hours of ginning, active gin stands and major shutdowns.

The first two weeks should only establish this baseline and identify coincidences: all gin stands starting at once, press running simultaneously with high extraction load, fans continuing after a line stops, or compressor loading outside production. Any change should be reversible, owned by the plant supervisor and logged with date/time. The resulting proof should distinguish a demand-charge effect, an energy-kWh effect, a PF effect and a change due to production. If that evidence cannot be collected during a live season, the honest decision is to defer rather than manufacture a 90-day result.

4. Stamped Energy fit analysis

4.1 ICP scorecard

Geography: pass. Process: conditional pass for motor/demand management. Revenue, bill, data maturity and professional buyer: unknown. Monthly bill: likely the main fail risk. Fit score: 5/10 as a qualification opportunity, not a Band A account.

4.2 Fit score rationale

The owner contact and one-site footprint could enable a quick decision, but public evidence is too thin to justify significant research or sales effort. The hard gate is a peak-season bill of ≥₹30 lakh and enough operating continuity to measure a 90-day result.

4.3 Wedge (parser-critical)

The strongest wedge is: an honest PSPCL bill gate first—if peak-season electricity spend is at least ₹30 lakh, test press/ginning load sequencing and idle-load shutdown with bill proof; if not, exit rather than sell unsuitable software.

4.4 Objections & competitors

Likely objections are “we are seasonal,” “our bill is too small,” and “we already switch equipment off.” Do not compete with solar EPCs, machinery suppliers or a notional refinery EMS. If HMEL is confirmed, stop this motion and use a formal JV/enterprise procurement path.

4.5 Pilot design

Only after entity and bill verification: one active-season meter, one press/gin block, production-normalised baseline, two-week diagnostic, owner-approved operational actions, and a 90-day PSPCL bill comparison. Kill the pilot immediately for bill below threshold, inadequate operating days or wrong entity.

4.6 Commercial routing and qualification outcome

This is not a candidate for a broad software demonstration. The first call has only three legitimate outcomes. First, the contact confirms a seasonal ginning unit with a bill below ₹30 lakh/month; log the entity and disqualify with no pressure. Second, the contact confirms a larger cottonseed/oil-processing campus or multiple controllable meters with a qualifying PSPCL spend; schedule an operations-and-bill workshop and find the electrical/plant owner. Third, the caller identifies HMEL/Guru Gobind Singh Refinery; stop, correct the CRM record and open a separate strategic enterprise account, without reusing this contact information.

If the second outcome occurs, price and scope should follow the one named consumer account, not an assumed group bill. Stamped should offer read-only analysis of existing bills, interval data and operating logs; no PLC writes, machinery alterations or claims about a refinery. The commercial memo should name the season window, bill/production denominator, approved action classes and the person who validates the PSPCL result. That protects both parties from the common SME failure mode: a useful conversation turning into an undefined audit with no verifiable financial outcome.

5. Before you reach out

5.1 Discovery checklist

• Confirm the legal/trade name, address and whether “oil refinery” refers to cottonseed processing or HMEL.
• Ask Rajat Gupta for peak and off-season PSPCL bill band, sanctioned demand and operating months.
• Confirm number of gin stands, presses, dryers, seed-processing machines and generators.
• Ask whether the listed Yahoo email and phone remain active.
• Identify the person who pays/receives the bill and the person who controls the press-floor schedule.
• Ask whether a recent solar, capacitor-bank or machinery upgrade changed power use.

5.2 Do not lead with

• Do not lead with refinery software, HMEL facts, AI, ESG or solar EPC.
• Do not lead with a savings promise or a long integration discussion before the ₹30 lakh gate.

5.3 Opening hooks (email / call / WhatsApp)

“Rajat ji, before discussing software, can I confirm whether the Raman unit’s peak PSPCL bill is above ₹30 lakh and whether you run ginning only or seed-oil processing too? If it is smaller, we will not waste your time.” This directness handles the entity ambiguity transparently.

5.4 Dual-path qualification script

Path A — Rama Cotton. Confirm the address verbally, then ask whether the site buys seed cotton and sells lint bales only, or also crushes cottonseed, produces oil/cake or runs a dryer/boiler. Request last month’s bill, the highest bill in the previous operating season, sanctioned kVA and number of active shifts. If the answer is below the ₹30 lakh threshold, record it as a valid disqualification rather than pressing for a demo. If it clears the threshold, seek permission for a walk-through and identify the press-floor/electrical owner.

Path B — HMEL GGSR. If the caller says “Guru Gobind Singh Refinery,” “HPCL-Mittal,” “Phullo Khari,” or refers to refinery units rather than cotton, stop using this dossier. HMEL is an 11.3-MMTPA refinery/petrochemical complex and needs a formal enterprise account plan: legal entity confirmation, corporate/vendor registration, energy/utility leadership, process-safety review, OT cybersecurity, DCS/historian interfaces, and a suitably bounded utility-area study. A Yahoo-directory contact cannot be used to infer an HMEL buyer, email pattern or procurement channel.

For a genuine gin, ask how demand is managed at simultaneous starts: seed cleaning, ginning stands, lint handling, pressing and dust extraction can create a brief but expensive coincident peak. Examine whether shifts begin together, whether press hydraulics run unloaded between bales, whether extraction fans are interlocked to equipment status, whether compressor pressure is set excessively high, and whether capacitor banks are maintained before season. These are potential tests only. Revenue, cotton arrivals, market price and monsoon interruptions can dwarf the electrical intervention, so production-normalised reporting is essential.

5.5 First-call decision tree

Open with the location and entity rather than a product pitch: “Is this Rama Cotton Ginning and Pressing Unit on Refinery Bypass, and does the same business also process cottonseed/oil?” Then ask whether the current operating season is live and whether the contact can state a rough peak PSPCL bill band. Do not request a bill photo until the contact accepts that the conversation is a qualification call, not a commitment.

If the response is “we only gin cotton and the bill is small,” thank the contact and close the loop. If the response is “we run an expeller/dryer as well” or “the bill is high in season,” request a short second conversation with whoever controls the transformer and the press schedule. Ask whether the account is HT, whether any demand or PF charge appears on the bill, and whether one meter also supplies related businesses. If the response invokes HMEL or a refinery with continuous process units, acknowledge that the record is misrouted and do not try to qualify the cotton directory contact for a refinery programme.

5.6 Questions for the first technical workshop

• Which legal/trade name and consumer number appear on the peak-season PSPCL invoice?
• How many days in the last season were actually ginning days, and how many gin stands and presses ran?
• Do dryers, expellers, oil filters, boilers or seed-processing equipment operate at this address?
• Which machines start together at shift start, and which may be safely staggered?
• Is any equipment operated after ginning ends because it is hard to restart, or only because no owner is assigned to stop it?
• What is the current capacitor-bank/PF arrangement, and has the bill shown a PF incentive or penalty?
• Does production have a reliable bale, intake or operating-hour record for normalising a trial?
• Is there a separate electrical supervisor, accountant or plant manager who must approve a bill comparison?

6. Risks, flags & sources

• Top risk: “Rama Oil Refinery” is not a verified legal entity; confusing this directory-listed cotton unit with HMEL’s Guru Gobind Singh Refinery would create a materially false account profile and inappropriate outreach.

6.1 Integrity / controversy / regulatory

Searches combining the Raman address, Rama Cotton, Ashok Gupta/Rajat Gupta with court, NGT, PCB, fraud and raid terms produced no credible material controversy attributable to this exact unit. Directory-level visibility is insufficient to infer compliance status. No allegation is made.

6.2 Data quality flags

• Contacts and location are directory-sourced; they may be stale.
• No formal legal identifier, financials, capacity or email-domain verification was found.
• The actual oil-refinery possibility is HMEL, a separate company and sales motion.
• Electricity range and operations are industry hypotheses, not site measurements.

6.3 Sources consulted

• https://commoditiesindia.net/listing/rama-cotton-ginning-and-pressing-unit/
• https://www.indiabiz.info/en/rama-cotton_2d
• https://allpeople.biz/rajat+gupta_rama-cotton_2d-in
• https://www.hmel.in/gurugobindsinghrefinery/
• PSPCL supply-area context and public searches conducted 12 July 2026
• Public directory and web searches for entity, court, NGT, PCB, fraud and raid terms conducted 12 July 2026.