The 100 kW–5 MW range is a targeting band, not something a salesperson can infer from a large roof, workforce count or electricity-intensive industry label. Capacity and commercial viability require project-specific electrical, structural, regulatory and financial assessment. The pre-RFQ advantage is earlier context: an EPC can reach a plausible account while the buyer is still clarifying objectives, internal ownership and evaluation inputs—without pretending that an approved project already exists.

This playbook gives Indian solar EPC teams a factory-signal model, source hierarchy, account-research workflow, buyer map, scorecard and a worked hypothetical example. It complements Eligoo’s C&I solar lead-generation playbook, which explains the broader commercial-only funnel.

What “ready before the RFQ” actually means

A pre-RFQ account is not necessarily ready to buy. It is a factory where credible evidence supports a timely energy conversation and where the missing facts can be verified with the right people. Keep three states separate:

• Signal-qualified account: a dated event makes solar or energy-cost evaluation plausible, but buyer intent is unconfirmed.
• Discovery-qualified project: the facility, objective, evidence access, internal sponsor and next decision are confirmed.
• Assessment-ready opportunity: authorised inputs support desktop review and, if appropriate, a defined site survey.

The RFQ may appear later, may take another procurement form or may never be issued. Early prospecting creates the chance to educate and qualify; it does not justify shaping specifications unfairly, seeking confidential information or bypassing a buyer’s procurement rules.

Start with a project profile your EPC can deliver

Before building a factory list, write an internal eligibility card. Include states and DISCOM territories served, project size range, rooftop versus ground-mounted capability, preferred commercial models, eligible customer profiles, financing support, structural and electrical partners, credential thresholds, excluded roof types or industries, and the travel radius for surveys.

This profile prevents the common failure of collecting thousands of manufacturer contacts that the EPC cannot serve. It also makes research consistent: every account is tested against the same delivery reality.

Build a five-layer factory-signal model

1. Facility-change signals

Look for a new plant, additional production line, warehouse or utility block, capacity expansion, relocation, acquisition, industrial-park move or major equipment commissioning. Use company announcements, stock-exchange filings where applicable, environmental or planning disclosures, industrial-development sources and credible trade reporting. Record the exact facility; group-level news may concern a different location.

2. Energy-management signals

Useful evidence includes a stated renewable-energy target, energy or sustainability appointment, energy audit or efficiency programme, procurement of electrical infrastructure, published decarbonisation plan or an energy-intensive operating change. The signal supports a conversation about the buyer’s plan. It does not establish the current tariff, demand profile or preferred procurement route.

3. Premises-control signals

Identify owner-occupied, leased and industrial-park arrangements; known roof additions; land parcels; landlord relationships; and remaining lease horizon. A tenant may pay the bill but lack roof rights. An owner may control the roof but have multiple meters or tenants. Public property information remains a lead; legal rights and structural suitability require authorised verification.

4. Commercial and leadership signals

A new CFO, plant head, engineering leader, procurement head or sustainability role can reopen priorities. Funding, refinancing, board-approved expansion and a formal capex cycle may create a budget window. Contact changes are contextual—not evidence that the new leader wants solar.

5. Procurement-proximity signals

Energy-consulting appointments, requests for credentials, vendor-registration activity, electrical surveys, roof repair, switchyard work, tender notices or public requests for renewable options are closer to action. Check scope, eligibility, location and closing date. Respect formal tender communication rules once they apply.

Score signal strength and false-positive risk

Give each account a transparent score, but do not hide judgement behind a number. A practical 25-point model uses five categories scored from zero to five:

1. Facility fit: verified operating site, geography and serviceability.
2. Energy relevance: credible operating pattern or buyer-authorised bill/load evidence.
3. Premises path: identifiable owner, tenure and roof/land decision route.
4. Buyer access: operational, technical and economic stakeholders mapped.
5. Timing evidence: dated event and a confirmed next decision window.

Use score bands only to route work: research further, approach for discovery, hold, or reject. Never convert the score into an estimated capacity, savings figure or probability of winning. Add a mandatory fatal-risk field for residential premises, non-serviceable geography, no lawful contact basis, no site-control path, or an explicit no-contact request.

False positives are predictable. A large roof may be shaded or structurally unsuitable. A new plant may already have a solar partner. An energy manager may own reporting rather than procurement. A tender may require credentials your EPC lacks. A high bill may largely reflect night load or demand charges. Design research to disprove fit, not merely confirm it.

Use a six-step account-research workflow

1. Define: select one state, two factory segments and the delivery rules for the 100 kW–5 MW target band.
2. Detect: capture one dated public event with its URL, publication date, facility and exact observed fact.
3. Verify: confirm that the facility exists, is in scope and has an identifiable premises-control path. Label every inference.
4. Map: find the plant or operations owner, engineering/facilities owner, finance sponsor and procurement path. In owner-led SMEs, roles may combine.
5. Ask: write an outreach hypothesis tied to the event and ask one low-friction verification question.
6. Qualify: obtain permissioned evidence on bill, load, site, ownership, policy route, commercial model, authority and timing before engineering handoff.

Maintain a research record with source, observed fact, inference, confidence, open question, account owner and review date. Remove stale signals. If the plant expansion was cancelled or the contact has left, the record must not remain “hot.”

Choose sources that match the question

CEEW’s rooftop solar deployment overview describes C&I consumers as major drivers of Indian rooftop deployment and highlights roles for developers, channel partners, financial institutions, DISCOMs and regulators. That stakeholder mix is a warning against reducing prospecting to contact scraping.

The MNRE grid-connected rooftop programme page is a starting point for official programme material, while state commission, DISCOM and project-specific documents must be checked for the opportunity at hand. Gentari’s commercial solar guide published 13 February 2026 identifies manufacturing, logistics, healthcare, hospitality and other C&I applications and explains that commercial systems are designed around larger, more consistent energy demand.

For factory discovery, prefer primary company disclosures, official tender portals, regulator and DISCOM documents, industrial-development authorities and buyer-authorised inputs. Use directories, databases, maps and social profiles for discovery—not as proof of project readiness.

Map the factory buying committee before outreach

LinkedIn job titles help locate people but rarely reveal decision rights. Multi-thread carefully: approach one operational or technical stakeholder and one economic or commercial stakeholder, explain the public reason for contact, and ask for redirection when responsibility sits elsewhere.

Write pre-RFQ outreach that tests a hypothesis

A credible message has five parts: observed public event, named facility, plausible energy question, relevant capability and one request. Avoid invented savings, urgency and claims that a competitor is already involved.

Hypothetical message: “I saw your company’s announcement about the additional production line at the Hosur facility. Expansions like this can change daytime demand and the case for on-site solar, although I do not know whether it is on your plan. Does plant engineering own that evaluation, or does finance manage it centrally? We work on C&I projects in the 100 kW–5 MW band and can share the inputs needed for an initial desktop screen.”

A “not this year” reply is useful if the owner and review month are captured with permission. A referral to the correct role is progress. No reply is not permission for unlimited follow-up; use a finite sequence and respect opt-outs.

Qualification gate before a site survey

Move to desktop assessment only when the buyer agrees to provide or verify the minimum necessary inputs:

• legal entity, facility address, meter and DISCOM;
• recent bill history through an approved secure route;
• sanctioned load or contract demand and material operating patterns;
• owner-occupied or leased status, consent path and expected tenure;
• roof or land type, known restrictions, existing solar and available drawings;
• objective, target window and preferred commercial models;
• problem owner, technical owner, economic buyer and procurement process.

Do not collect sensitive bills in an unsecured form or by unsolicited forwarding. Explain why each document is needed, obtain appropriate permission and limit access. A desktop review should identify missing facts and obvious exclusions; only competent engineering and site assessment can validate design.

Worked account-research example

Hypothetical example—not a client result: an automotive-components manufacturer announces a machining-line expansion at a Tamil Nadu plant. The sales researcher records the primary announcement, exact facility, date and expansion fact. The inference is limited: daytime electricity demand may change. No bill, capacity or roof claim is entered.

Company pages show an Engineering Head at the site and a group Finance Controller. A property source suggests the premises may be leased, so roof control is marked unknown. Outreach asks Engineering whether the energy plan for the additional line includes on-site generation and who owns commercial evaluation.

Engineering confirms that a review is planned for the next capital cycle and introduces Finance, but says landlord consent is required. The account becomes discovery-qualified only after the buyer identifies the applicable meter, agrees to a secure bill review and names the landlord approval owner. It remains outside survey stage until site control, drawings, access purpose and applicable requirements are clear.

Measure whether pre-RFQ research improves the pipeline

Track target accounts with source-backed signals, signals invalidated, correct-role referrals, buyer-confirmed review windows, authorised bill/load packages, desktop assessments accepted and rejected, surveys booked and completed, and time spent per assessment-ready opportunity. Segment results by state, factory type, signal and research source.

A good system learns from rejection. If leased factories fail at consent, map asset owners earlier. If expansion signals generate conversations but no evidence access, change the question or target stage. If many “100 kW–5 MW” accounts fall outside the band after assessment, refine the profile—never backfill capacity guesses.

Exceptions and limitations

• Public signals can be stale, incomplete or unrelated to the target facility; verify them before outreach.
• Satellite imagery cannot confirm legal rights, structural capacity, shadow-free area or interconnection feasibility.
• State, DISCOM, metering and open-access requirements vary and can change; check current primary documents for each project.
• Solar may be unsuitable even when the factory has high demand. Site, load, commercial model, policy, finance and risk must align.
• Do not guarantee capacity, generation, savings or payback before competent project-specific assessment.

Get a sample pre-RFQ factory list

Eligoo is an AI Employee Resourcing Company: “Hire AI Employees who work from the cloud” through WFC. Within a client-approved workflow, Radar can organise public factory signals and evidence, Hook can prepare role-specific outreach for human approval, and Ledger can track missing qualification fields, stage age and rejection reasons. The EPC retains sourcing policy, outreach approval, engineering, safety, regulatory and commercial decisions.

Request a sample pre-RFQ factory list for one state, two factory segments and a defined 100 kW–5 MW delivery profile.