Indi Andaz

2. The Seller Problem

Hundreds of thousands of saree & ethnic wear sellers on Facebook Live and Instagram Reels sell manually. Every order costs them time and money:

1. 1.
   Buyer sees product in live video — No catalog, no search
2. 2.
   Buyer takes screenshot — No direct link
3. 3.
   Buyer finds number in caption — Friction; many drop
4. 4.
   Buyer sends screenshot on WhatsApp — Manual matching
5. 5.
   Seller shares UPI — No secure payment, fraud risk
6. 6.
   Buyer pays via UPI — No confirmation, no receipt
7. 7.
   Buyer sends payment screenshot — Seller verifies manually
8. 8.
   Seller verifies payment — Time-consuming, error-prone
9. 9.
   Seller asks for address — Unstructured data
10. 10.
    Buyer types address in chat — Typos, incomplete
11. 11.
    Seller manually books courier — No tracking, no automation

Result: 60–70% drop-off. 30–60 min manual work per order. ₹6K–23K/month overhead. No product analytics. Returns chaos.

3. The Buyer Problem

4. Why Existing Social Commerce Is Broken

Industry benchmark: Social commerce conversion (view → purchase) = 2–4%

With proper e-commerce: Conversion = 8–15%

Opportunity: 2.5–3× conversion improvement by digitizing the flow.

5. Insight

Sellers don't need traffic. They need infrastructure.

Investor Narrative (5 points)

• Indi Andaz is the Social Commerce Operating System — infrastructure, not marketplace
• Large base of sellers on Facebook/Instagram live — manual flow, 60–70% drop-off, 30–60 min/order
• Full-stack: catalog, checkout, Razorpay, COD, Delhivery, tracking, returns
• 7–10% take rate; break-even ~250 sellers (modeled); ₹3 Cr net profit/year at 500 sellers
• Moat: workflow lock-in, data, supply, services, India-first ops

Seller-Facing Narrative (5 points)

• Your store, our engine. You keep your traffic on Live/Reels.
• We handle: catalog, checkout, payments, shipping, tracking, returns — zero DIY
• 3 steps instead of 11. <5 min per order instead of 30–60 min.
• 8% launch for 6 months, then 10%; ₹50 minimum on orders under ₹500. No fixed fee. No hosting.
• ₹25 self-upload, ₹99 AI-enhance, or ₹349 for professional photoshoot.

6. Solution Overview

Indi Andaz is a full-stack marketplace + seller OS that:

• Replaces 11 steps with 3: Browse → Cart → Checkout (Razorpay/COD)
• Live tracking — Delhivery integration, real-time updates
• Structured returns — Platform-managed, buyer-initiated, tracked
• Seller dashboard — Orders, inventory, shipments, analytics, payouts

Sellers keep Facebook/Instagram for discovery. We handle transactions, logistics, operations.

7. Buyer Journey — Before vs After

8. Seller Journey — Before vs After

9. Product Overview

• Customer app — Browse, cart, checkout (Razorpay/COD), live tracking
• Seller portal — List products, orders, inventory, shipments, analytics, payouts
• Admin — CMS, seller onboarding, delivery partners, monetization
• Razorpay + RazorpayX + Delhivery — Integrated
• Subscription + referral — Indi Andaz Plus, ₹250 referrer + ₹250 new seller credit

Unique Offer — Product Listing

Pain: Sellers use phone photos or video screenshots. Low quality = low conversion.

Sellers spend ₹200–500 for local photographers. ₹349 with model offers strong value for quality. AI-enhance at ₹99 is scalable. Typically increases conversion 2–3× vs. amateur photos.

10. Multilingual Advantage

India's saree sellers serve buyers in Hindi, Tamil, Telugu, Bengali, and more. Indi Andaz supports multilingual product listings and buyer-facing content — a critical advantage for social commerce sellers who serve regional audiences.

11. Revenue Model

Take rate: 7–10% of GMV

Subscription vs Commission — When Each Makes Sense

Decision threshold: At ₹1,200 AOV, 10% = ₹120/order. ₹999 ÷ ₹120 ≈ 8.3 orders. Subscription wins for sellers doing <8–10 orders/mo.

Pricing Summary (Cross-verified)

12. Improved Pricing Model

13. Unit Economics

Base case: AOV ₹1,200 | 60% prepaid / 40% COD | Blended

10% return rate (saree), 6% RTO on COD. Buyer pays return shipping — common in India.

Returns & RTO — Realistic Model

Industry benchmarks: Saree/ethnic return rate 8–12% (lower than fashion). COD RTO in India 5–8%. We model 10% returns, 6% RTO on COD orders.

Blended impact per order: 10% returns × ~₹102 avg + 2.4% RTO × ₹160 = ~₹14/order. Net margin ≈ ₹93.

14. Downside & Risk Scenarios

Strong margin: >₹80/order when AOV ≥₹1,000 and returns <10%.

What's Modeled vs. Not

These figures use 10% returns, 6% RTO on COD. Real economics may vary with:

• Actual return rate (saree typically lower than fashion)
• RTO by geography and buyer segment
• Delhivery zone-based rates

15. Go-to-Market Strategy

Focused GTM: Start with Power Sellers

Ideal first segment: Power sellers (50+ orders/mo) — they feel pain most, have budget, can be case studies.

CAC: ₹2,500–4,000/seller (realistic for high-touch).

Onboarding: WhatsApp-first, 1:1 setup call, first 10 listings free.

30-Day Pilot: Proving the Model

Goal: Prove conversion improvement + seller retention.

Early Metrics (Pilot Targets)

16. Pilot Plan (90 Days)

Key pilot metrics:

• CAC <₹4,000
• Activation rate >50%
• At least 1 power seller (20+ orders/mo) as case study

17. Market Opportunity

Numbers below are industry estimates (RedSeer, Statista, seller interviews); sources vary. Directionally indicative.

TAM: ₹50,000 Cr saree + ethnic (est.)
SAM: ₹2,000–5,000 Cr (social commerce saree; est.)
SOM (Year 1–3): 1–2% = ₹50–200 Cr GMV

18. Why Now

• Infrastructure gap — Social commerce is growing rapidly, but infrastructure hasn't caught up — creating a window to define the category
• Social commerce boom — Facebook/Instagram sellers growing; industry reports suggest ~2x in 2 years (est.)
• Regulation — ONDC, e-commerce rules favor structured marketplaces
• Seller fatigue — Manual process doesn't scale; they want solutions
• Buyer expectation — Tracking, returns, trust — table stakes now
• Payment infra — UPI, Razorpay, COD — ready for digitization

19. Competitive Landscape

Indi Andaz: Vertical (saree/ethnic) + seller OS + full-stack + India-first (COD, Delhivery)

Why Custom Software — Not WordPress or Shopify

Indi Andaz is built as custom software on a modern stack (Next.js, NestJS, TypeScript, MongoDB). WordPress and Shopify are single-store, DIY tools. We are infrastructure for 500K+ live sellers.

Indi Andaz vs Meesho — What We Do Better

What we are not: We are not horizontal. We are not a reseller platform. We are not chasing low-price mass market. We serve power sellers (50+ orders/mo) in saree/ethnic who sell on Live — they need infrastructure, not another marketplace.

Exact Customer — Who We Serve

• Primary: Facebook Live & Instagram Reels saree/ethnic sellers — 50+ orders/month, ₹2–10 Lakh GMV/month
• Geography: India; tier 1–2 cities initially; regional language support
• Pain: 30–60 min/order manual flow; 60–70% drop-off; no product analytics; ₹6K–23K/month overhead
• Outcome: 3 steps instead of 11; <5 min/order; full analytics; live tracking; platform-managed returns

Growth Strategy

• Organic SEO — Main lever. Content, technical SEO, long-tail keywords. Slow but sustainable; compounds over time
• Sales force — High-touch onboarding; 1:1 setup, first 10 listings free; WhatsApp-first
• Referral — ₹250 referrer + ₹250 new seller credit; seller-led growth
• Seller-led buyer acquisition — Sellers bring traffic from Live/Reels; we defer paid buyer acquisition until scale

20. Moat & Defensibility

How moats form (what we track):

Buyer Acquisition Strategy

Current phase: Sellers bring their own audience from Live/Reels. Buyer acquisition is intentionally seller-led.

Future (marketplace/discovery upside):

• Repeat buyers — Returning customers discover more sellers via marketplace browse
• Referrals — Buyer-to-buyer referral (to be designed)
• Cross-seller shopping — One buyer, multiple sellers; platform becomes discovery layer

Buyer acquisition is deferred until seller base and GMV justify investment. Sellers' existing traffic is the primary growth lever today.

Risks & Mitigation

21. Data Advantage

Layer 2 monetization:

• Boost/Ads — "Boost this product" to sellers (₹50–200/product)
• Pricing intelligence — "Similar products sell at ₹X"
• Demand forecasting — Inventory recommendations

Data advantage grows with scale — 1,000+ sellers and 12+ months of data enable pricing intelligence and demand forecasting.

Key Metrics (What Matters)

Path to profit: Contribution margin covers CAC in ~2–3 months at 50 orders/seller. Break-even at ~250 sellers with lean ops.

22. 3-Year Scale Potential

Path to ₹44.6 Cr net profit by Year 3

Net profit = orders × ₹93 (post returns/RTO) + listing + subscription. Conservative.

Cost Structure & Margins

Gross margin (commission): ~90%
Net margin (blended): 25–35% at scale

23. How We Achieve Profitability

• Break-even ~250 sellers — ₹12–15 Lakh revenue/mo covers lean ops (tech, support, marketing)
• COD is margin-positive — No Razorpay fee; ₹119/order vs ₹99 prepaid
• Returns modeled — 10% return, buyer pays return shipping; platform loss ~₹105/return
• RTO contained — 6% on COD; platform bears forward + RTO cost
• Subscription adds predictability — Recurring revenue; 25% adoption (target)

Team

Who is building this and why we can out-execute in this market.

Frictionless Onboarding

Design principle: "Easier than WhatsApp" — first success within 24–48 hours.

Product Proof

Full-stack system live: customer app, seller portal, admin. Integrations: Razorpay, RazorpayX, Delhivery.

• Buyer flow: Browse → Cart → Checkout (Razorpay/COD) → Live tracking
• Seller flow: List products → Receive orders → One-click Delhivery → Analytics & payouts
• Admin: CMS, seller onboarding, delivery partners, monetization

Live demo: indiandaz.com

What We Need to Prove in 30 Days

Validation — not just vision

90-Day Pilot (50 sellers)

• Activation rate >50%
• CAC <₹4,000
• 90-day retention: 60–80% (target 80%)
• 1+ power seller (20+ orders/mo)
• Conversion uplift vs manual (measured)

If these hold, unit economics and GTM are validated. Next: scale to 200–500 sellers.

The Ask

Pre-seed / Angel — ₹25–50L to run 90-day pilot.

Use of funds:

• Operations & support (assisted onboarding, seller success)
• Pilot execution (outreach, CAC, tools)
• Product (AI-enhance, onboarding flow)

Success criteria: 50 sellers, 30 activated, CAC <₹4K, retention 60–80%.

If pilot holds → Seed ready. Scale to 200–500 sellers.

24. Closing Vision

Your store, our engine.

Make every social commerce seller a professional e-commerce business.

Indi Andaz = the operating system for India's Facebook & Instagram live sellers.

VC Validation

Biggest strength: Product-market insight — sellers have traffic, need infrastructure.

Biggest risk: GTM failure — can we acquire and activate 50 sellers at <₹4K CAC?

Traction & Milestones

Product built · Pilot not yet started

Shipped: Full-stack product (website, seller portal, admin), Razorpay + RazorpayX + Delhivery, analytics, subscription + referral.

Next: 50-seller pilot; launch ₹25 self-upload + ₹99 AI-enhance + ₹349 pro shoot.

Revenue Flow — ₹1,200 AOV (Blended)

60% Prepaid + 40% COD → ~₹93 net profit/order (modeled, after returns/RTO)

Returns/RTO modeled separately. See SELLER_COST_BREAKDOWN.md.

Commission by Order Value

Seller Count → Outcomes

Base Assumptions

Growth Priorities

When we have capital, we invest in:

Next Steps

We're focused on validating the model with our 90-day pilot. Key focus areas:

• Identify 10–20 power sellers in target geography (Facebook groups, Instagram)
• Run discovery calls — validate pain, willingness to pay 8–10%
• Onboard first 5 sellers with 1:1 onboarding
• Track: time to first order, first 10 orders, activation rate