From fashion overwhelmto buying with total clarity.
Upload a photo. Getto's AI reads your style, matches you with real outfits from nearby stores, and delivers to your door in under 60 minutes. No search. No scroll. Just your perfect look.
The problems we solve.
Problem
Many shoppers abandon fashion purchases due to uncertainty about fit, style, or occasion. Not price. Industry research points to decision fatigue as the main reason shoppers drop off.
Why this matters for us
The problem is signal, not supply. We remove the cognitive load entirely. A capability no other player has built in this market, to our knowledge.
Problem
Indian SMB fashion stores are estimated to hold over ₹14,000 Cr in unsold seasonal inventory annually, with limited digital visibility or demand signal.
Why this matters for us
To our knowledge, no other platform has live store-level SKU data at this granularity in Hyderabad.
Your photo. Your look.AI styled. Delivered fast.
Upload a selfie or photo. Getto AI generates personalized outfit looks from real nearby inventory - delivered in 47 minutes.
Upload a photo.
Start with your look.
No forms. No filters. Getto starts with your image and reads silhouette, styling context, and visual cues from a single photo.
Analysing image
3,000+ SKUs
Generating looks · Matching nearby inventory
AI reads your photo.
Builds outfit options.
Our model maps silhouette, styling signals, and nearby live inventory to generate wearable looks matched to real local stock.
Blackout
Avg. delivery time
Hyderabad pilot · Median
Industry avg: 3–5 days
You. Restyled.
Delivered in 47 min.
See yourself in a complete Getto outfit. Pick the look you love and get it from a nearby store to your door fast.
Average across Hyderabad pilot orders
Try it yourself. See your AI look instantly.
Upload a photo and AI will generate 10 outfits from real Getto inventory — just like the app.
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 — reducing the need for markdowns.
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 (pilot data)
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
AI Intent Engine
Proprietary AI that maps occasion and context to curated fashion looks. No keyword search.
Virtual Trial Room
AI Looks lets shoppers see outfits on their own photo before buying. Unique in hyperlocal fashion.
Dead Inventory Solution
Partner stores clear unsold stock through live demand signals instead of markdowns.
Hyperlocal Network
City-deep store density delivers in under an hour. Impossible to replicate overnight.
Plug and Play Model
Zero setup cost for partner stores. Join, list inventory, receive orders. No integration overhead.
Head-to-Head Feature Comparison
Market data based on public sources and platform estimates as of Q1 2026.
Select a market to explore
India’s fashion market is$140B by 2030E.
The world’s fastest-growing fashion market. Underpenetrated hyperlocal commerce. A consumer who expects delivery within the hour.
Online shoppers
India's digital consumer base
Apparel market by 2030E
Up from ~$100B in 2024 · Bain, Redseer
Hyperlocal commerce
Fastest channel in retail
Shopping frequency
Urban Indian fashion shopper
A clear path from $140B market
to a $250M realistic capture.
India Apparel Market by 2030E
Total apparel, accessories and footwear across all channels in India. 2024 base: ~$100B. Online fashion: $15B (2024) → $45B (2030E). Source: Bain, Redseer, Statista.
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. Supported by current Hyderabad operating data.
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
Avg. Order Value
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.
Four ways we make money. All aligned with shopper success.
We make money when shoppers buy and stores sell.
Commission + Delivery Fee
20% commission per transaction + 3–5% delivery fee share. Blended take rate: 18–22%. Higher than category peers because we own the discovery, curation, and last-mile coordination.
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.
Lean Model Canvas
One page. Every dimension of the Getto business.
Problem
- Fashion discovery is broken. Overwhelming options, zero clarity
- Local stores hold 30–40% unsold stock with no digital demand signal
- No platform combines AI curation driven by shopper intent, live indie store inventory, and hyperlocal delivery under 60 minutes
Solution
- AI intent engine: describe the occasion and get a curated look in under 3 mins
- Live local inventory matching (50+ brand partners today)
- Store to door in under 47 minutes
Unique Value Proposition
From fashion overwhelm to the right outfit at your door in under an hour.
No search. No scroll. Just your perfect AI look, delivered in under 47 mins.
Unfair Advantage
- No one in Hyderabad combines AI curation with hyperlocal delivery
- No platform is solving for dead inventory prevention at scale
- AI Looks is a unique styling experience no competitor has built
Customer Segments
Urban Indian fashion shoppers 18 to 35 in Hyderabad, fashion forward and time poor. Also: urban convenience shoppers, maternity mothers, kids fashion buyers, Gen Z trend seekers
Early adopters: Banjara Hills / Jubilee Hills · working professionals · occasion driven shoppers
Channels
Key Metrics
Cost Structure · ₹40L/month
Revenue Streams
Scaling from early traction
to ₹180 Cr GMV in 3 years.
Rooted in real Hyderabad traction. 20% commission · 18–22% blended take rate. ₹0 paid acquisition to date.
| Period | GMV (₹ Cr) | Revenue (₹ Cr) | Cities | Orders / Mo | Partner Stores |
|---|---|---|---|---|---|
| FY26Year-End Target | 1.8 | 0.36 | 1 | 1,500 | 100+ |
| FY27Year 2 | 36 | 7.20 | 3 | 10,000 | 500+ |
| FY28Year 3 | 180 | 36.00 | 5 | 50,000 | 1,500+ |
Key Assumptions
Blended take rate 18–22%: 20% commission + delivery fee share + sponsored listings + Vendor SaaS
AOV: ₹1,000. Revenue per order: ₹200 commission + ₹40 delivery margin = ₹240
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
FY26 GMV formula: 1,500 orders/mo × ₹1,000 AOV × 12 months = ₹1.8 Cr. Revenue = 20% × ₹1.8 Cr = ₹0.36 Cr
Based on Hyderabad traction. Blended take rate 18–22% (20% commission + delivery fee share + sponsored listings). Delivery via Pidge 3PL. ₹0 paid acquisition to date. Orders = monthly run rate at year-end of each period. Current run rate: 100+/month growing 22% MoM.
Every order makes money.
Per-order economics at current ₹1,000 AOV. All figures in ₹.
Per Order
Customer
Zero paid acquisition to date
Best to average case
Urban fashion frequency
12 orders × ₹160 gross profit per order
At ₹400–₹1,000 CAC
Partner Store
At launch; grows with density
2–5 orders × ₹240
Express Partner model
1.9–4.8×
LTV / CAC ratio
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. Seed round takes 15%. Fully vesting over 4 years with a 1 year cliff.
We're raising to scale fast.
₹5 Cr
seed round · ₹5 Cr raise
≈ $578K raise · $3.24M 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 · 4,500 orders/month · ₹45L GMV/month · ₹9L commission revenue/month
₹34 L / month revenue
Month 12 · Commission ₹9L + Vendor SaaS ₹8L + Sponsored Listings ₹5L + AI Looks SaaS ₹10L + Delivery margin ₹2L
3–4 Tier 1 cities
Expansion · Month 12
Marketing Scenarios
₹13.3L/month budget · Based on ₹13.3L/month marketing spend. Formula: CAC = budget ÷ new orders. GMV = orders × ₹1,000 AOV. Revenue = GMV × 20% take rate.
Best Case
Orders/Month
4,000
CAC
₹400
GMV
₹40L
Revenue (20%)
₹8L
GMV ROAS
2.5×
New Brands
+30
Viral Reel campaign + mega influencer + organic loop
1M+ view Reel breaks · strong word-of-mouth kicks in
Average Case
Orders/Month
1,600
CAC
₹1,000
GMV
₹16L
Revenue (20%)
₹3.2L
GMV ROAS
1×
New Brands
+15
Micro influencer traction + UGC + performance ads
Consistent 20–22% MoM growth, stable CAC
Worst Case
Orders/Month
640
CAC
₹2,500
GMV
₹6.4L
Revenue (20%)
₹1.28L
GMV ROAS
0.4×
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 / YouTube Shorts / Moj / ShareChat
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. That is a ~3× return on image spend.
Hyderabad today.
India in 3 years.
Phase 1
Hyderabad at Scale
- 250+ partner stores onboarded
- 150 orders / day run rate
- AI Looks v2: occasion-to-outfit in under 2 min
- Vendor SaaS dashboard live
Phase 2
3-City Expansion
- Launch Bengaluru + Chennai
- 1,000 stores network-wide
- Sponsored Listings platform self-serve
- 10,000 orders / month
- Series A fundraise
Phase 3
AI Fashion Platform
- 5 metro cities operational
- AI personal stylist (subscription product)
- 1,500 partner stores
- B2B demand intelligence API for brands
- 50,000 orders / month
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 & performance marketing
- Social media, influencer & brand marketing
- Intent-to-conversion product thinking
Fashion is personal. Discovery should be too.
Let's build this together.