Casual Summer
Zara
Ethnic Kurta
Myntra
Street Wear
H&M
Formal Shirts
FabIndia
Indo-Western
W for Woman
Denim Jackets
Levis
78,880+
results for “casual outfit”
From fashionoverwhelmto instantintent-led buying.
Getto takes your occasion and budget, matches you with real outfits from stores nearby, and gets it to your door in under an hour. No search. No scroll. Just the right outfit.
Roséra
Getto · Size S
Golden Aura
Getto · Size S
Wine Siren
Getto · Size S
3 perfect picks
Intent-matched · Near you · In stock
What we know exclusively.
These are not hypotheses. They are insights derived from 12,000+ real shoppers and 50+ partner stores — data points no competitor holds.
Exclusive Insight
78% of shoppers abandon fashion carts because of decision fatigue, not price.
Why this matters for us
The problem is signal, not supply. We remove the cognitive load entirely. No one else has figured this out.
Exclusive Insight
India holds ₹14,000 Cr in dead indie store inventory with zero digital visibility.
Why this matters for us
We are the only ones with live store level SKU data at this granularity in Hyderabad.
Exclusive Insight
Urban Indian women shop fashion 14× per year. Our sessions average under 3 minutes.
Why this matters for us
We've turned a high frequency shopping habit into a high margin moment. 14 times a year.
Exclusive Insight
A 47 minute delivery changes how shoppers think. Planning turns into impulse.
Why this matters for us
Speed creates a new category: fashion on demand. We own that space in Hyderabad today.
From intent to outfit.In under an hour.
No endless scrolling. No decision fatigue. Three steps — one conversation, one curated look, delivered before the evening.
You tell us the occasion.
We understand the look.
No search bar. Shoppers share context: occasion, budget, vibe and size. Getto builds a style profile in seconds.
Scanning
live0SKUs
AI scans 556 nearby
SKUs in real time.
Our model checks your intent against live local inventory, looking at fit, occasion relevance, brand mix, price band and delivery feasibility.
Roséra
Avg. delivery time
Hyderabad · Live orders
Industry avg: 3–5 days
3 picks.
Delivered in under an hour.
Three outfit picks, each scored by our AI. The item is in stock nearby and at your door in 47 minutes. No second guessing.
Average across Hyderabad pilot orders
Try it yourself. The AI look is real.
Upload any photo. Our AI transforms it into a studio model shot, then dresses it in inventory from Getto partner stores. Same tech running in the live app.
Take a selfie
or upload a photo · JPEG / PNG / WEBP
Dead stock becomeslive demand.
Every unsold SKU in a partner store is an opportunity. Getto’s AI turns static inventory into dynamic, intent-matched demand — without a single markdown.
Unsold SKUs
Sitting in store inventory
AI Matching
Intent × inventory overlap
Curated Exposure
Surfaced at the right moment
Live Demand
Real orders, fast delivery
38%
Avg. dead stock ratio in partner stores at onboarding
12%
Unsold inventory cleared within first 30 days
3.1×
Sell-through uplift vs. walk-in traffic alone
For 4,000+ stores in Hyderabad alone, Getto is the difference between a clearance sale and a sold-out moment.
Pilot data · Hyderabad · 50+ partner stores
No one occupies intent-first
hyperlocal fashion.
Every competitor is either national with poor local fit, or local with zero AI curation. We sit in an empty quadrant — and we're building the moat around it.
Positioning Map
← gettoOur Defensibility
Supply Network
Independent fashion boutiques with live inventory create a supply base that large marketplaces struggle to integrate.
Local Network Effects
Higher store density improves delivery speed and selection, reinforcing demand within each city.
Speed Advantage
Fashion delivered in under an hour shifts the category from planned shopping to impulse purchases.
Local Market Insight
Understanding neighbourhood-level fashion demand leads to better inventory matching than national catalog platforms.
Operational Playbook
Running hyperlocal fashion commerce requires coordination between stores, inventory, and delivery that improves with scale.
Head-to-Head Feature Comparison
Startup traction data is estimated from public sources as of Q1 2026. Myntra Now data from public filings and press reports.
Why Can't They Just Copy Us?
Local Supply Network
Most fashion inventory in India sits inside independent boutiques that are not connected to digital marketplaces. Getto focuses on onboarding these stores and bringing their inventory online, unlocking supply that traditional marketplaces do not capture.
Hyperlocal Commerce Model
Fashion is traditionally a slow e-commerce category. By connecting nearby stores to nearby demand, Getto turns fashion purchases into a fast, local experience rather than a multi-day delivery decision.
City-Level Density
Hyperlocal marketplaces improve as supply and demand cluster within a city. As store density grows, delivery becomes faster and customers see better selection, reinforcing the local network.
Early Execution in Hyderabad
Getto is already operating with 50+ partner stores and live customer orders in Hyderabad, validating both supply willingness and consumer demand in the first market.
A clear path from $110B market
to a $250M realistic capture.
India Fashion Market by 2030
Total apparel, accessories and footwear across all channels in India.
Urban Hyperlocal Fashion Delivery
Intent driven, same day fashion across 30+ tier 1 and tier 2 Indian cities.
Realistic 3-Year Capture
~4% of SAM. 5 cities at Hyderabad pace traction by FY28. Fully de risked by current numbers.
Hyderabad.Where we are today.
We start deep, not wide. Hyderabad is a proof-of-concept at city scale — one market, relentlessly executed, before we expand.
Urban fashion shoppers
Active in Hyderabad
Independent stores
Our supply network
Market size
Hyderabad fashion
India’s fashion market is$110B by 2030.
The world’s fastest-growing fashion market. Underpenetrated hyperlocal commerce. A consumer who shops 14 times per year and expects delivery within the hour.
Online shoppers
India's digital consumer base
Fashion market by 2030
World's fastest growing
Hyperlocal commerce
Fastest channel in retail
Shopping frequency
Urban Indian woman
“Urban Indian women shop fashion 14 times per year. The average session on Getto is under 3 minutes. That’s 14 moments Getto can own.”
Shopping frequency
14× / year14 shopping moments / year
Growing fast.All organic.
All organic. Hyderabad only. Zero paid acquisition.
App Installs
Organic growth, Hyderabad
Partner Brands
Onboarded stores
Orders / Month
Growing 22% MoM
Avg. Delivery
Industry: 3–5 days · via Pidge 3PL
Avg. Order Value
3× quick-commerce AOV
App Rating
iOS & Android · 40 reviews
All growth driven by word of mouth. No paid ads. No influencer deals. Just product-market fit.
Hyderabad. Phase one.
Featured Partner Brands · Live on Getto
Hyderabad
Premium gold-plated jewellery brand. 593 products on Myntra, active new launches
Hyderabad
Ethnic occasion bags and accessories. 188 products on Myntra, ₹2,000–₹6,000 AOV
Hyderabad
925 sterling silver brand. 178 products on Myntra, consistent 4.7 avg rating
Across Hyderabad
And growing. 250+ target in 6 months post raise
Four ways we make money. All aligned with shopper success.
We make money when shoppers buy and stores sell. Every revenue stream reinforces the core loop.
Commission
20% average commission per transaction on all orders placed through Getto. Higher than category peers because we own the discovery, not just the delivery.
Sponsored Listings
Stores pay for premium placement in AI discovery feeds and occasion based carousels.
AI Looks
Curated outfit builders sold as a styling subscription to fashion forward shoppers.
Vendor SaaS
Inventory intelligence, demand forecasting, and hyperlocal campaign tools for stores.
Shopper discovers → Store fulfills → Getto earns. As the platform grows, the loop compounds. More shoppers = more store revenue = more AI data = better recommendations.
Lean Model Canvas
One page. Every dimension of the Getto business.
Problem
- Fashion discovery is broken. 200+ options, zero clarity
- Local stores hold 30–40% unsold stock with no digital demand signal
- No same day curated fashion delivery exists in India
Existing alternatives
- Myntra / Nykaa (D2C, 3–5 days)
- Instagram (inspiration only)
- Walk in stores (no curation)
Solution
- AI intent engine: describe the occasion and get a curated look in under 3 mins
- Live local inventory matching (50+ brand partners today)
- Under 60 min store to door delivery
Unique Value Proposition
From fashion overwhelm to the right outfit at your door in under an hour.
No search. No scroll. Just the right outfit — same day.
Unfair Advantage
- Hyderabad focused intent data flywheel
- 50+ local brand supply network (hard to replicate)
- 47 min delivery track record. City logistics moat.
Customer Segments
Urban women 18 to 35 in Hyderabad, fashion forward and time poor
Early adopters: Banjara Hills / Jubilee Hills · working professionals · occasion driven shoppers
Channels
Key Metrics
Cost Structure · ₹40L/month
Revenue Streams
From ₹3.6 Cr GMV today
to ₹180 Cr in 3 years.
Rooted in real Hyderabad traction. 10% blended take rate. ₹0 paid acquisition to date.
| Period | GMV (₹ Cr) | Revenue (₹ Cr) | Cities | Orders / Mo | Partner Stores |
|---|---|---|---|---|---|
| FY26Now | 3.6 | 0.72 | 1 | 1,200 | 100+ |
| FY27Year 2 | 36 | 7.20 | 3 | 10,000 | 500+ |
| FY28Year 3 | 180 | 36.00 | 5 | 50,000 | 1,500+ |
Key Assumptions
20% avg commission across all order types
22% MoM order growth continues through FY26, normalises to 15% in FY27+
AOV holds at ₹1,000+ as store mix quality improves
1 new city per quarter from Q3 FY27 onward
Based on Hyderabad traction. 20% avg commission. Delivery via Pidge 3PL. ₹0 paid acquisition to date. Orders = monthly run rate at year-end.
Clean cap table.
Founder-led.
PRE
Funding
Pre-funding state
2
Stakeholders
100%
Total equity
90%
Founder stake
ESOP pool remains at 10% post round. Fully vesting over 4 years with a 1 year cliff.
We're raising to scale fast.
$600K
seed round · $600K raise
≈ ₹5 Cr · ₹30 Cr pre-money valuation
Use of Funds
₹5 Cr raise = ₹40L/month × ~12.5 months runway
What we achieve with this
250+ partner brands
From 50 → 250 in 6 months
150 orders / day
6 months post raise: 250 brands onboarded + ₹16L/month in paid marketing kicks in
₹50 L / month revenue
Phase 2 · Hyderabad at scale
3–4 Tier 1 cities
Expansion · Month 12
Marketing Scenarios
₹16L/month budget · Based on ₹16L/month marketing spend. CAC = marketing spend ÷ new orders.
Best Case
Orders/Month
500
CAC
₹3,200
ROAS
5×
New Brands
+30
Viral campaign + mega influencer + word of mouth
1M+ view Reel breaks · strong organic loop kicks in
Average Case
Orders/Month
250
CAC
₹6,400
ROAS
2.5×
New Brands
+15
Micro influencer traction + UGC + performance ads
Consistent 20–22% MoM growth, stable CAC
Worst Case
Orders/Month
120
CAC
₹13,333
ROAS
1.2×
New Brands
+8
Performance ads only, influencers underperform
Pivot to Meta/Google ads, slower organic growth
Fashion-Specific Influencer Stack
₹8.5L of ₹16L marketing budget allocated to creators · Fashion specific influencers in Hyderabad · Tier 1 & local focus
Brand awareness & credibility
Instagram / YouTube
₹3L
/ month
2M+ reach
Fashion hauls · Outfit of the Day · AI look demos
Instagram Reels
₹2.5L
/ month
500K+ reach
Hyperlocal Hyderabad fashion · relatable content
Instagram / Moj / ShareChat
₹2L
/ month
200K+ reach
UGC · try on reactions · viral challenges
All platforms
₹1L
/ month
50K+ reach
Viral Content Playbook
Tag your AI curated look with #GettoLook. Top 3 win ₹2,000 cashback. Runs weekly.
Instagram + Reels
Creator shares occasion → AI generates 3 looks → picks one → delivered same day. Native Reel format.
Instagram Reels / YouTube Shorts
Unboxing and live try on within 47 minutes of ordering. Authenticity drives the shares.
Instagram Stories / TikTok style Reels
Arvino / Amyra / Nipura co create content with influencers for shared reach.
Multi-platform
AI look generation kiosk at local fashion events. Real time "style me" demos worth press coverage.
On ground + social amplification
Budget & AI Cost Breakdown
Product & Engineering Breakdown
React Native · feature development · QA · store releases
Node.js/Next.js · inventory sync APIs · order management
Intent engine · style matching model · AI image generation
AWS/GCP · CI/CD · monitoring · scaling infra
AI Look Image · Unit Economics
Cost per AI image
₹3.46
Gemini 2.5 Flash Image ($0.04 / image)
Daily generations
500
Across all active users
Monthly image cost
₹51,900
< ₹0.5L/month
Revenue per order
₹200
20% commission on ₹1,000 AOV
Conversion rate
5%
AI look session to purchase
Cost per conversion
₹69.20
20 images × ₹3.46 per converted order
At 500 AI look generations/day using Gemini 2.5 Flash Image, image infra costs under ₹52K/month. At 5% conversion, each converted order carries ₹69.20 in image generation cost against ₹200 commission revenue — a ~3× return on image spend.
Getto Franchise Stores
Empowering local fashion entrepreneurs with AI powered retail. No central warehouse needed.
No upfront cost
₹0
Express Partner
Existing stores list inventory on Getto. AI driven demand signals sent daily. Fulfil orders from existing stock.
- Getto app listing & AI demand signals
- Same day delivery network access
- Real time inventory dashboard
- Zero setup cost
All 50+ current partners. Default entry point
One-time setup
₹2–5L
Franchise Hub
Dedicated Getto branded display zone inside the store. Priority AI placement. Co branded marketing support.
- Exclusive Getto zone (200–400 sqft)
- Co branded signage & fixtures
- Priority AI discovery placement
- Monthly demand analytics report
- Getto marketing co investment
50 hubs across Hyderabad · Year 1 target
Full fit-out
₹10–20L
Flagship Studio
Standalone Getto branded experience store. AI browsing kiosks, curated look displays, fitting rooms. Franchise owner operates it.
- Standalone Getto outlet (600–1200 sqft)
- AI look kiosk & digital displays
- Dedicated Getto fulfilment staff
- Priority city level press & marketing
- Exclusive brand curation rights
5 flagship studios · Hyderabad Year 1 · expand to Tier 1 cities Year 2
50+ stores in active conversation
Franchise pipeline · today
100 Franchise Hubs + 5 Flagship Studios across Hyderabad
18-month target
Why this model works
Asset light: no warehouse, no central inventory. The franchisee holds the stock.
Speed: local store = local delivery in 47 mins. No dark store needed.
Trust: local brand owners know their customers better than any algorithm
Scalable: franchise fee + commission = double revenue per partner
Eshwar Harsha Vardhan Jalleda
Eshwar conceived the idea behind Getto's hyperlocal fashion commerce model. He leads system design and scalable architecture and built the platform end to end with a focus on speed, reliability, and scale.
- Scalable systems & app architecture
- Aerospace & consumer tech background
- End to end platform builder
Goli Lokesh
Successfully built and scaled Clad Infra, a mining company, from the ground up. Brings deep operational expertise, sharp business instincts and a bias for execution in fast moving environments.
- Built & scaled Clad Infra 0→1
- Deep ops & supply chain expertise
- Proven execution in new markets
Vamsi Vutukuri
Leads AI strategy and growth at Getto. Connects user insight with applied AI, turning occasion based fashion intent into high confidence product discovery and measurable demand.
- AI strategy & applied ML
- Growth & demand generation
- Intent to conversion product thinking
The consumer, the infrastructure,
and the supply are all ready.
600M+
Indians online by 2026
Consumer is ready
UPI
Zero friction checkout
Payment rail is ready
4G / 5G
Delivery grade coverage
Infrastructure is ready
Post-D2C
Stores want digital
Supply side is ready
Fashion is personal. Discovery should be too.
Let's build this together.