Revitalizing India's Food Ecosystem
The Janata Bazar Model for Transparency, Equity, and Sustainability
Executive Summary
India's food economy is both immense and leaky. Nationally, nearly 78.2 million tonnes of food are wasted every year — roughly 55 kg per person — while mandis and intermediaries inflate retail prices by an estimated 30–50%, leaving farmers with under 30% of the final consumer price. Households in India spend significant portions of monthly income on food - rural households average 46.5% while urban households spend 39.2%, with low-income families often spending up to 50-67%, making affordability a chronic social issue. Janata Bazar was founded in September 2023 to address these twin problems: reduce waste and lower consumer prices while increasing farmer returns.
Operational Model
Remodels traditional kirana shops into compact, community-focused fresh produce hubs that combine the trust and convenience of neighbourhood retail with enterprise-grade technology — ERP for operations, blockchain for provenance, and AI for forecasting.
Pilot Success
Our pilot phase in Kolkata has established eight stores and partnerships with 50+ farms. Stores currently average ₹20,000–25,000 daily revenue, running at 12–15% gross margins.
Scale Potential
At cluster scale (20–25 stores operating within a 4–5 km radius), procurement efficiencies, lower logistics costs and shared marketing are expected to lift gross margins to 22–25%.
The mistakes of early expansion — specifically weak financial discipline that caused a small number of closures — are now addressed through ERP-tracked funds, escrowed inventory, strict procurement SOPs, and periodic third-party auditing. With disciplined execution, Janata Bazar can scale to materially reduce waste, raise farmer incomes and deliver affordable food to urban households while producing attractive returns for investors.
Founding Story, Geography and Early Learning
Janata Bazar was initiated by three founders whose experiences span rural resource management, statistical modelling, economics and content creation. The company began in South Kolkata, opening pilots in neighbourhoods such as Garia, Jadavpur, Tollygunj, Sonarpur and Kalikapur. Supply was sourced largely from North 24 Parganas, South 24 Parganas, Nadia, Paschim Medinipur and nearby farmer networks, minimizing lead time and spoilage.
Success Story: Kudghat
The Kudghat pilot (Nov 2023) reached steady-state revenue of ₹22,000/day in two months and became a high-trust community node: over 250 households shopped there weekly.
Learning from Failure: Shahidnagar
Conversely, Shahidnagar (opened Dec 2023) suffered from overstocking and weak cash-control and was closed in January 2025 after a ₹2 lakh loss.
Those early failures catalysed reforms: mandatory ERP purchase authorizations, daily cash reconciliation, and a centralized procurement desk.
All subsequent policy changes and product improvements are grounded in these first-hand field lessons: the model can work at unit level; the organisational weakness was governance and cash discipline — fixable by process, transparency and investor-aligned controls.
The Problem: Numbers That Demand a Solution
A data-first diagnosis clarifies the opportunity. An estimated 78.2M tonnes of food loss each year represents more than a moral failure — it is an economic drag equating to roughly ₹50,000-92,000 crore in lost value (approximately $6-11 billion annually). Long mandi chains and fragmented logistics create 5–7 intermediary steps between farmer and consumer; a farmer selling capsicum at ₹30/kg will often see the same item retail for ₹120–150/kg, although transport costs are only ₹6–10/kg. In urban households, when staples spike (for example, onions at ₹50/kg), families cut consumption or switch to lower-nutrition substitutes.
78.2M
Tonnes of Food Wasted
Annually in India - roughly 55 kg per person
30-50%
Price Inflation
By mandis and intermediaries from farm to retail
200K
Kirana Closures
Traditional stores closing annually due to market pressures
Traditional kiranas, once the backbone of Indian retail, face closures at scale — roughly 200,000 in the past year (2024), primarily due to quick-commerce platforms, price volatility and supply chain failures force customers away. Pre-harvest inefficiencies (lack of credit, insurance, and forecasting) create 15–20% yield variance, costing exporters and farmers billions annually.
This combination of waste, price inefficiency, and fragile retail creates the opening for a model that reduces intermediaries, restores transparency, and aligns incentives for farmers, retailers and consumers.
The Janata Bazar Solution: A Single-Store & Cluster Model
Janata Bazar's value proposition is simple: convert traditional kiranas or brand new real estate into compact, trusted hubs that buy directly from farmers, use data to reduce spoilage and mismatch, and pass efficiency gains to consumers and farmers.
01
Store Optimization
Each store is a 150–200 sq ft outlet optimized for fresh produce. Stock turns on a 7–10 day cadence (compared with industry 15–20), supported by daily ERP updates and frequent small mandi / farm purchases.
02
Competitive Pricing
Typical shelf pricing targets vegetables at ₹41/kg, fruits at ₹60/kg, and eggs at ₹6 each, roughly 15–20% below the market.
03
Cluster Strategy
The cluster strategy groups 20–25 stores within a 4–5 km radius. Clusters share procurement, logistics and micro-marketing budgets; they enable 90% reductions in delivery times and cost per SKU through consolidated loads and shared last-mile routing.
04
Technology Integration
Traceability is enforced by blockchain: every farm dispatch, quality check and store receipt is recorded immutably so that consumers and buyers can verify provenance. AI forecasts (trained on sales, weather, and soil inputs) increase quote acceptance to wholesale and export channels and reduce forecast error to near 90% accuracy in pilots.
A concentrated presence also amplifies word-of-mouth: clusters in our pilot saw 20–25% higher footfall and up to 30–40% improved referral rates.
Farmer Value as the Core of Sustainability
The Janata Bazar model is built to maximize the value captured by farmers, ensuring sustainability for the entire supply chain.
  • Direct Procurement: Farmers sell directly to Janata Bazar stores, cutting out intermediaries and increasing their share of the profit margin by 15-20%. This direct relationship also provides immediate feedback on produce quality and demand.
  • Pre-Harvest Integration: We integrate with farmers before harvest, providing demand forecasts and quality specifications. This reduces post-harvest losses and ensures farmers grow what is needed, leading to higher price realization.
  • Blockchain-Traceable Payments: Payments to farmers are processed and recorded via blockchain, ensuring transparency, immutability, and timely compensation within 24 hours of delivery. This builds trust and financial stability for our farming partners.
  • Cluster Income Growth: Farmers within a Janata Bazar cluster (a group of 20-25 stores) experience an average income growth of 25-30% due to consistent demand, better prices, and reduced spoilage. This economic uplift encourages sustainable farming practices and strengthens local agricultural communities.
Unit Economics per store(detailed, with scenarios and sensitivity)
To make the model investment-grade we must be scrupulous about unit economics. Below are worked examples and company-level projections under explicit assumptions. These are conservative and transparent so investors can adjust inputs.
Assumptions under ideal inventory flow (per store):
  • Average daily revenue (range): ₹30,000 — ₹40,000
  • Average month = 30 days
  • Monthly revenue (low/mid/high): ₹9,00,000 / ₹10,50,000 / ₹12,00,000
  • Current gross margin: 12% — 15%
  • Scaled gross margin (clustered): 22% — 25%
  • Store operating expenses (monthly estimate): ₹75,000 (breakdown: staff ₹30,000; rent ₹25,000; utilities/packing/logistics ₹10,000; local marketing & misc ₹10,000)
Per-store monthly P&L (mid case):
Monthly revenue: ₹10,50,000
  • Gross profit at 12%: ₹1,26,000 ; at 15%: ₹1,57,500
  • Gross profit at 22% (scaled): ₹2,31,000; at 25% (scaled): ₹2,62,500
For Franchisee

Franchisee holders need to setup a store, operate in under Janata Bazar rules and guidelines and they receive 50% of the gross profits. As the GP grows beyond certain levels, Franchisees receive more than 50% of GP
Monthly gross
  • Current 12% → ₹63,000. (50% GP) Operational costs are barely being covered.
  • Current 15% → ₹86,625. (55% GP)Franchisee holder makes about 15,000-20,000
  • Scaled 22% → ₹1,38,600. (60% GP). Franchisee owner makes a lumpsum of 55,000-60,000
  • Scaled 25% → ₹157,200. (60% GP). Franchisee owner makes above 75000.
This illustration shows that at current margins the per-store net is modest but positive at the higher end of current margins; at cluster-scale margins the profitability becomes materially strong.

Setup cost per shop and economic viability

Initial Approximate Setup Cost is Rs 3,00,000. In addition, it is advisable that extra funds for recurring expenses (rent, salaries, electricity, etc.) are put aside for the first 3 months, as this is the time needed for the outlet to stabilize and reach consistent profitability.
Break even revenue: Rs. 6,11,000 per month (assuming 18% gross profit), Rs 20366 per day. We need a minimum of 2 people per store (salary Rs 10000; 2 people in the morning shift, 2 in the evening shift). To better understand this, you can refer to the pdf attached below.

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This pdf reflects the calculations of our store located at Lords More on the 2nd of March, 2025. The pdf shows that on this particular day, sales amounted to Rs. 24686.91, which exceeds our break even revenue. Margin before wastage was Rs. 4067.96 (16.48% of generated revenue), and wastage from this store was Rs. 517.82 (2.09% of generated revenue). Hence, gross profit was Rs. (4067.96 - 517.82) = Rs. 3550.14, which is 14.38% of generated revenue. At this rate, gross profit would be Rs 106504.20, which would far supersede the break-even point for the store.
  • central overhead ₹8,02,000 → Monthly EBIT ≈ ₹8,48,000
  • At 22% gross margin: gross profit ₹46,20,000, total store opex ₹15,00,000, central overhead ₹8,02,000 → Monthly EBIT ≈ ₹23,18,000
This shows the business becomes profitable at current scale with a 15% gross margin and significantly profitable with a 22% margin, demonstrating the importance of scaling for profitability.
Annual Growth Scenario: New Cluster Every Month
This scenario models a more realistic expansion, showcasing key milestones as the business scales and achieves sustainable profitability.
Key Metrics (Projections for New Growth Trajectory):
  • Year 1 (Month 12) Annualized Revenue: ₹1260.00 Lakh (₹12.60 Crore)
  • Year 1 (Month 12) Monthly EBIT Run Rate:
  • @ 15% Gross Margin: ₹56.68 Lakh
  • @ 22% Gross Margin: ₹140.48 Lakh
  • Year 3 (Month 36) Monthly EBIT Run Rate:
  • @ 15% Gross Margin: ₹128.93 Lakh
  • @ 22% Gross Margin: ₹387.68 Lakh
  • Break-even Point: Profitability is achieved from Month 1 for both 15% and 22% gross margins, indicating strong early-stage viability under this growth model.
This revised breakdown highlights the significant profitability potential and robust scaling characteristics of the business with a more measured, yet consistent, store expansion over three years.
Technology Architecture & Operations
Janata Bazar's technology stack is modular and pragmatic:
ERP Core
A cloud-hosted ERP handles procurement orders, GRN (goods received notes), SKU-level inventory, store sales, returns and basic accounting. Access control enforces approval flows: inventory fund disbursals require two-factor investor and ops approvals for purchases above thresholds.
Blockchain Layer
A permissioned ledger records each farm dispatch, transport handoff, quality check and store receipt. The ledger is accessible to consumers through QR codes on packaging and to buyers via a read-only dashboard.
AI & Data Warehouse
A centralized data lake aggregates sales, weather, mandi price feeds, soil and IoT sensor data. Forecasting models include time-series demand forecasting at SKU-store level, ensemble yield prediction models, and dynamic pricing signals for B2B quotes.
CCTV & Analytics
Retail analytics are derived from in-store CCTV combined with point-of-sale (POS) receipts and delivery order histories; face- or device-matching is used only with explicit privacy-compliant opt-ins to derive repeat-customer statistics.
Operations, Procurement & Quality SOPs
Every store adheres to standard operating procedures covering daily procurement cut-offs, QC sampling, FIFO stocking, markdown policy and waste reconciliation.
Procurement follows a minimum viable order (MVO) logic: daily orders are placed from nearby partner farms for perishable SKUs and from mandi/wholesale for non-seasonal items. Each inbound batch receives a quality check (weight, visual grade, temperature). Blockchain entries include timestamped photos and a field QC checklist.
Waste is logged daily and reconciled weekly. Excess good-quality produce is captured into micro-B2B orders or micro-processing channels to avoid disposal. Returns to suppliers are processed only with documented defects tied to blockchain provenance.
Staff training emphasizes freshness handling, cross-sell/up-sell, POS reconciliation at shift end, and local marketing (flyers, community events).
Growth Roadmap
Growth Roadmap, KPIs & Milestones
Janata Bazar's roadmap is explicit:
1
0–6 months
Build 10–15 clustered stores in South Kolkata, complete ERP rollout, and demonstrate controlled unit economics across stores (target: average cluster gross margin ≥ 18%).
2
6–18 months
Expand to 50+ stores across multiple clusters, reach 500,000+ data points for AI modelling, and launch B2B & limited export channels.
3
18–36 months
Regional replication (other West Bengal districts), national expansion into Tier-2 cities, and IoT-first farm management integration.
Core KPIs: daily sales/store, average basket, repeat customer rate (post-CCTV/ERP integration), SKU turnover days, waste %, farmer price uplift and gross margin.
Reporting will be monthly with dashboards showing daily sales per store, SKU-level turnover, waste %, farmer price paid, and cash balances. Quarterly external audits and investor-accessible blockchain explorers ensure continuous oversight.
Marketing, Risk Management & Data Transparency
Marketing, Customer Growth and Loyalty
Janata Bazar's customer acquisition is hyper-local and community-driven. Initiatives include sampling drives, "meet the farmer" stalls, targeted WhatsApp groups and promotions timed to neighbourhood rhythms. A planned loyalty card and mobile app will capture customer IDs and order history, enabling personalized offers and better retention.
When CCTV + ERP + delivery integration are active, data will allow targeted retention campaigns: for example, identifying households who bought leafy greens three times this month and offering a bundled discount on spices.
Risks and Mitigations
Key risks are operational cash stress, farmer supply volatility, regulatory shocks, and competition from deep-pocketed quick-commerce players.
To mitigate: financial governance is tightened (ERP + investor escrow), procurement diversification reduces single-farm concentration, and cluster density creates durable local moats. Blockchain traceability and community trust are defensive features that are costly to replicate quickly at local scale.
Sample Weekly Sales Snapshot (illustrative, anonymized)
Below is a short snapshot of a single store's daily sales for one representative 7-day period in March 2025 (to show structure — actual logs are available and can be audited): These sales figures include bare minimal inventories of vegetables, some grocery items, and general chicken eggs.
These logs are the format we can capture in ERP and can be aggregated across stores to produce cluster-level forecasts, SKU-level turnovers, and customer repeat rates after CCTV/online integration.
Appendix: Sales Data & Closure Records (summary)
We maintain continuous sales logs from March–April 2024 onward. Investors requesting due diligence will be provided anonymized CSV extracts that show day-by-day revenues per store, SKU-level volumes, and reconciliation with bank deposits. Closure logs (2 stores) detail dates, causes and corrective actions taken; these are available for audit.
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