MapMyFranchise / SiteFinder decision brief
Naturals Ice Cream in Pune
Generated
This page summarises the supplied SiteFinder PDF. Rankings, financial figures and evidence statements come from that report; they are not a new analysis or observed outlet results. Download the unchanged original for the full tables, maps and methodology.
Report scope, budget and model version
Executive brief · PDF pages 2–5
Deccan leads.
The shop still decides.
The report places Deccan first, supported by estimated footfall, family households and catchment affluence. High estimated rent is its clearest constraint. Kothrud and Aundh follow closely: the unrounded gap between Deccan and the next area is only 0.7 points.
The next decision: compare available units, real rent quotes and territory permissions. A narrow score lead does not settle which property to take.
Modelled monthly revenue
₹10.02L
Single-point estimate, no sensitivity range
Deccan · steady-state base case
Modelled monthly EBITDA
₹2.06L
Single-point estimate; scenarios below
20.5% of revenue · as reported
Modelled capital required
₹33.41L
Single-point estimate, no sensitivity range
Includes a refundable security deposit
L = lakh (₹1,00,000). EBITDA is earnings before interest, tax, depreciation and amortisation; the report's calculation also deducts owner draw. These are planning outputs, not achieved returns.
Rent needs a closer check. The source uses different rent bases in its deposit calculation and monthly profit-and-loss table. These modelled returns depend on reconciling the rent and area inputs. Inspect the rent assumption ↗
Inspect all 12 ranked locations
The report scores 1,849 mapped Pune cells. After confidence and saturation filters, 1,373 qualify; locality de-duplication produces this 12-location shortlist. All twelve fit the report's ₹5 crore budget ceiling.
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| Rank | Locality | Fit / 100 | Market rent ₹ / sq ft / month | Investment | Monthly EBITDA |
|---|---|---|---|---|---|
| 01 | Deccan | 91 | ₹191 | ₹33.41L | ₹2.06L |
| 02 | Kothrud | 90 | ₹190 | ₹33.39L | ₹2.04L |
| 03 | Aundh | 90 | ₹190 | ₹33.36L | ₹2.04L |
| 04 | Shivajinagar | 90 | ₹190 | ₹33.41L | ₹2.05L |
| 05 | Wakad | 90 | ₹168 | ₹32.35L | ₹2.14L |
| 06 | Pune Camp | 89 | ₹190 | ₹33.41L | ₹2.03L |
| 07 | Baner | 88 | ₹220 | ₹34.78L | ₹1.85L |
| 08 | Pashan | 88 | ₹188 | ₹33.27L | ₹2.02L |
| 09 | Hinjewadi | 88 | ₹184 | ₹33.10L | ₹2.03L |
| 10 | Kalyani Nagar | 87 | ₹186 | ₹33.20L | ₹2.01L |
| 11 | Koregaon Park | 87 | ₹187 | ₹33.24L | ₹2.01L |
| 12 | Balewadi | 87 | ₹220 | ₹34.78L | ₹1.84L |
Market rent here is the ranked cell's headline ground-floor rate. It differs from a locality-wide average and from the effective rent used in parts of the financial model. Investment and EBITDA are modelled; a score is not a probability of success.
Inspect the financial inputs and outputs
The report models a premium ice cream parlour with a 300–700 sq ft format range, 58% gross margin and 5% royalty. Its indicative ₹15–30 lakh brand investment range excludes the address-specific security deposit. These are report inputs to confirm with Naturals, not current franchise quotations.
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| Line item | Monthly amount | Share of revenue |
|---|---|---|
| Revenue | ₹10,02,042 | 100.0% |
| Cost of goods sold | (₹4,20,857) | 42.0% |
| Rent | (₹1,05,144) | 10.5% |
| Staff | (₹84,120) | 8.4% |
| Royalty | (₹50,102) | 5.0% |
| Marketing | (₹20,041) | 2.0% |
| Variable operating costs | (₹50,102) | 5.0% |
| Utilities | (₹28,000) | 2.8% |
| Other | (₹22,000) | 2.2% |
| Owner draw | (₹16,000) | 1.6% |
| EBITDA, as reported | ₹2,05,675 | 20.5% |
What goes into the ₹33.41 lakh capital estimate
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| Capital component | Amount |
|---|---|
| Fit-out and equipment | ₹18.00L |
| Brand / franchise fee | ₹4.00L |
| Working capital | ₹2.50L |
| Refundable security deposit | ₹8.91L |
| Total capital required | ₹33.41L |
A rent assumption to reconcile
The source PDF states a 500 sq ft unit at approximately ₹178/sq ft/month for its ten-month deposit calculation (page 12), while its monthly profit-and-loss table uses ₹1,05,144 in rent (page 11). Those rent bases differ. The figures above preserve the source; confirm the rent and area inputs and rerun the model before relying on the return estimates.
Amounts retain the PDF's rounding. Its annual, year-one and steady-state figures have different labels; this summary does not infer annual cash returns by multiplying a monthly figure by twelve.
Scenarios and sensitivity · PDF page 12
Plan for the downside.
The report compares three demand environments for the same location and format. It reports a 25-month base-case payback and month-two EBITDA break-even. Operating break-even and recovery of the initial investment are different milestones.
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| Scenario | Monthly revenue | Monthly EBITDA | Year-one ROI | Payback |
|---|---|---|---|---|
| Pessimistic | ₹6.91L | ₹65,605 | 8.0% | Not reported |
| Base | ₹10.02L | ₹2.06L | 40.2% | 25 months |
| Optimistic | ₹13.53L | ₹3.60L | 76.3% | 15 months |
The most sensitive input is gross margin. In the PDF's sensitivity analysis, changing it by ±20% produces a reported ±₹12.27 lakh variation in annual EBITDA. Average ticket size and daily transactions follow. Validate those assumptions before treating the base case as a plan.
Evidence and coverage · PDF pages 13–15
Fit is one signal.
Confidence is another.
The report assigns moderate confidence, 0.75 out of 1. It records four validated real-world observations covering 54 scored locations. Where a location has been surveyed, an average of 26% of its rent and footfall inputs comes from collected data; that share does not describe every cell in Pune.
Customer-reported evidence
The strongest source tier in this report is customer-reported and not yet corroborated. Validated does not mean independently field-verified.
Coverage has limits
1,491 of 1,849 cells have enough survey detail for confidence eligibility. About 19% are excluded for thin mapping. The later confidence-and-saturation filters leave 1,373 qualifying cells.
The report's generation timestamp identifies the frozen analysis, not the last verification date of every shop, rent or franchise term. Missing coverage is a reason to investigate, not proof of a poor location.
Risks worth checking · PDF pages 5–9, 13
A high score leaves
real questions to answer.
Same-brand territory
The report flags an existing Naturals outlet in the catchment. Confirm territory rights directly with the franchisor before pursuing a property.
Competition is established
The recommended location has 147 direct rivals in the report's primary catchment. Existing competitors are well rated; validate the current outlets and how a new parlour would win customers.
Mapped access needs a walk
The retail network uses straight-line links, which do not establish walkable routes across roads, rivers or railways. Check the actual journey at the hours the format trades.
A plot is not an available unit
The built-fabric analysis shows 695 plots and 96 retail plots. Geometry does not establish ownership, vacancy, usable area or permission to operate.
Field-verification plan · PDF page 13
Turn the shortlist
into five concrete checks.
- Observe peak trading hours. Count real footfall in Deccan against the report's modelled demand index of 99.
- Obtain three rent quotes. Compare the reported ₹191/sq ft headline market rent with the roughly ₹178/sq ft effective-rent assumption. Confirm the unit area and reconcile the financial model.
- Verify the competition. Check the 147 mapped rivals and any openings since the data refresh.
- Confirm franchise terms and territory. Check fees, royalty, fit-out specifications and the existing same-brand outlet directly with Naturals.
- Plan reserves against the pessimistic case. Rework the cash plan using verified inputs before committing to a lease.
How the report reaches its shortlist
SiteFinder holds the franchise and city fixed, then compares the mapped locations within that city. The Naturals profile determines which local conditions matter most.
Describe the local context
The report evaluates 1,849 H3 cells: small hexagonal analysis areas at resolution 8, approximately 0.74 km² each. Mapped businesses, housing, employment, access and rent estimates describe the context around each cell.
Compare like with like
Features become percentiles within Pune and receive format-specific weights. For an ice cream parlour, footfall and affluence matter; another format can weight the same city differently. A cell's fit and its evidence confidence remain separate.
Filter, then diversify the shortlist
1,373 cells pass the report's confidence and saturation filters. They all fit its selected ₹5 crore budget. Locality de-duplication keeps one neighbourhood from filling the list, leaving twelve leading candidates to investigate.
Test the economics and record the limits
Location inputs feed the format's transaction and cost model. The report compares demand scenarios, records evidence gaps and freezes the results with their model version. Fieldwork then tests whether those assumptions hold at a real unit.
Use the scale the number belongs to.
A cell score describes a small analysis area; a locality average describes a broader neighbourhood. Neither establishes the frontage, floor area or lease terms of a particular shop. Compare the same scope, units and report date before drawing a conclusion.
A few useful distinctions
Read the result
with the right context.
Does a score of 91 mean a 91% chance of success?
No. Fit compares the location with alternatives in the same city for this format. The separate confidence score describes the evidence supporting the analysis. Neither measures the probability that your business will succeed.
Why is the budget ₹5 crore but the investment ₹33.41 lakh?
₹5 crore is the ceiling selected for this report. ₹33.41 lakh is the modelled cost of opening at Deccan, including the security deposit. The budget is a filter; it is not the recommended amount to spend.
Are month-two break-even and 25-month payback the same thing?
They describe different milestones. The report's month-two figure is EBITDA break-even. Its base-case 25-month payback describes recovering the initial capital outlay in the model. Both depend on the inputs and scenarios in the PDF.
Can I use these figures to make a decision today?
Use the report to plan your checks. It is a frozen analysis from 16 September 2026. Confirm current rents, competing outlets, unit specifications and franchise terms, and resolve the rent-basis difference before relying on its financial estimates.
Trace the summary back to its source
This is a selected summary of Naturals Ice Cream in Pune, generated on 16 September 2026 at 14:48 UTC. The download preserves all 16 pages of the supplied PDF, including its charts, source statements and appendix.
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| Material | PDF pages | How to read it |
|---|---|---|
| Decision, profile and shortlist | 1–5 | City-relative fit for this franchise and this report scope. |
| Competition, retail network and built fabric | 6–9 | Mapped context to verify on the ground. |
| Locality fundamentals and market gaps | 9–11 | Broader market context; gaps are hypotheses, not proven demand. |
| Economics, capital and scenarios | 11–12 | Modelled outputs with indicative inputs and the rent-basis difference noted above. |
| Risks, evidence and next steps | 13–14 | Customer-reported evidence and explicit coverage limits. |
| Methodology and appendix | 14–16 | rule-engine-0.4 · paid-report-1.1 · platform 0.4.0. |
The report uses H3 resolution 8 cells and format-specific weights for city-relative features. It attributes base map, point-of-interest and infrastructure data to OpenStreetMap contributors under the ODbL. Its appendix describes financial inputs as indicative planning benchmarks that require direct franchisor confirmation.
Report ID: ba775335-dfc6-4955-86fb-6cedd98b85e2. This is a frozen decision-support report, not a live market feed, franchisor approval or a guarantee of business performance.