Zepto Clone | White Label 10-Minute Quick Commerce App
Launch your own 10-minute quick commerce platform with our readymade Zepto clone — white label, demo ready, dark-store inventory engine, picker workflow, rider batch-routing, geofence-based store matching, AI demand forecasting, and full source code.
Production-grade tech, ready to scale
Clean, well-documented code in technologies trusted by enterprises.
So you want to launch the next Zepto. Here's what we actually ship.
Zepto is not a delivery app. It is a vertically-integrated dark-store operation, and the difference is the entire business. Customer in Bandra opens the app, gets matched to the dark store 1.4 km away (chosen by geofence + stock availability, not by driver bid), a trained picker walks the warehouse aisles and assembles the order in under two minutes, a rider takes a batched trip with two or three orders sequenced by the routing engine, and the doorbell rings in under ten minutes. The same model now runs across 900+ dark stores in India.
The scale is louder than the headlines. Per Bloomberg coverage, Zepto closed its October 2025 $450M round at a $7 billion valuation, and the company posted ₹11,110 Cr (~$1.3 billion) in FY25 revenue — up 149% year-over-year. The Indian quick-commerce market crossed $5.48 billion in 2024 and is forecast to hit $12.97 billion by 2029. Blinkit holds roughly 48% market share, Swiggy Instamart 24%, Zepto 22%. The IPO filing is scheduled for the July-September 2026 window via Morgan Stanley and Goldman Sachs.
We already built this Zepto clone. The codebase ships a customer iOS + Android app, a picker tablet app for the dark-store workforce, a rider app with batch-routing, a per-store inventory engine, a geofence-based store-router that chooses fulfilment cell by distance + stock availability, AI demand forecasting that drives auto-replenishment, surge pricing per micro-fulfilment cell, UPI + Razorpay + Mada + HyperPay payment rails pre-wired, and a super-admin dashboard with cohort retention and per-store P&L baked in. One-time price $4,500–$18,000, white-labeled under your brand, deployed in 14–21 days, full unencrypted source code. The competing agency quote is $10,000–$150,000+ over three to eighteen months.
Launch your own Zepto-style 10-minute quick commerce platform in 14–21 days.
Request Free DemoZepto Clone vs Building From Scratch — Let's Be Honest
The honest ledger. Quick commerce is the single hardest sub-genre of marketplace app to ship — it stacks per-store inventory management, pick-path optimisation, geofence-based fulfilment routing, multi-order rider batching, surge pricing per micro-cell, and demand forecasting on top of a normal three-sided dispatch app (customer, picker, rider). Here it is line-by-line against a custom build:
| What matters to you | Custom Build | Our Zepto Clone |
|---|---|---|
| Time to first paid order | 9–18 months | 14–21 days |
| All-in cost, year one | $80,000 – $300,000+ | $4,500 – $18,000 |
| Engineering team required | 5–7 senior + 1 ops + 1 DevOps | Zero — we deploy |
| Per-store inventory engine + real-time stock | 8–12 weeks to ship + harden | Day one, with Redis-locked atomic deduction |
| Picker tablet app with pick-path optimisation | 6–10 weeks | Pre-built, A* over the warehouse graph |
| Rider batch-routing (2-3 orders per trip) | 4–6 weeks | OSRM-backed, surge-aware, included |
| Geofence-based store matching | 3–5 weeks | PostGIS day one |
| UPI / Razorpay / Mada / HyperPay gateways | 4–6 weeks per gateway | All four pre-wired |
| iOS + Android store approval | 4–8 weeks per platform | We submit under your brand |
| Source code ownership | What your team wrote | Full unencrypted |
| Time to your tenth active dark store | 8+ months | First four weeks |
Who's Actually Buying This From Us
Let me save you the "this is for everyone" pitch — it isn't. Seven buyer patterns close on the Zepto clone:
- Indian tier-2 city operators — founders launching in Jaipur, Ahmedabad, Surat, Pune, Indore, Coimbatore, Lucknow, and Kochi where Blinkit and Zepto coverage is thinner than in Mumbai or Bangalore. The first operator with a 4-store cluster in a tier-2 city captures the supply-side margin nationally-bigger competitors cannot match without sustained loss-funding.
- Saudi and UAE founders filling the post-Getir gap — Getir collapsed in MENA in 2024, leaving Riyadh, Jeddah, and Dubai with no native 10-minute operator. The mid-market dark-store opportunity is open, and operators with a single licensed warehouse in each major city can take it.
- African quick-commerce founders — Lagos, Nairobi, Accra, and Cairo operators where the demographic profile (dense urban centres, smartphone-first households, time-poor middle class) matches the early-Zepto curve almost exactly.
- Southeast Asia operators — Indonesia, Philippines, Vietnam, and Thailand founders riding the same wave that took Zepto from $200M valuation to $7B in three years, with local-language and local-payment-rail adaptations.
- FMCG distributors going DTC — existing wholesale operators with 100-500 SKUs and warehouse infrastructure who want to bypass kirana retailers and sell directly via instant delivery, capturing both the distributor margin and the retail margin.
- Supermarket chains digitising — established supermarket groups (DMart-tier, Lulu-tier, Carrefour-tier in MENA) converting one or two store backrooms into picker-only dark stores to launch a 10-minute service alongside the in-store experience.
- Pharmacy and convenience-store chains — operators adding instant medication and convenience delivery as a retention play on top of the existing brick-and-mortar footprint, where the existing inventory and licensing already exist.
How You Make Money With the Zepto Clone — 8 Revenue Streams
Eight wired-in revenue streams. Launch with two or three, layer the rest as the dark-store cluster scales past the first ten warehouses:
- Order margin on owned inventory. The primary revenue line. Buy at distributor wholesale, sell at the in-app retail price. Indian quick commerce margins compress to 8-14% net after delivery cost — but on Zepto's AOV of ~₹600 ($7) and 1.2M daily orders, that compounds aggressively. Configurable per category.
- Delivery fee. ₹20–₹50 ($0.24–$0.60) per order below the free-delivery threshold, zero above. The threshold is your conversion-vs-margin lever; Zepto runs ₹149 ($1.80), Blinkit runs ₹199 ($2.40). Configurable per city and per time-of-day.
- Membership subscription. Zepto Pass at ₹99/month ($1.19) for unlimited free delivery; Blinkit's Bistro Pass at ₹199. On 200,000 active users with 12% conversion to membership at ₹99, that is ₹2.4M ($28,800) per month of pure-margin recurring revenue alone.
- Sponsored brand listings. FMCG brands pay ₹40,000–₹400,000/month ($480–$4,800) to occupy the homepage carousel, the search-result top strip, or the "frequently bought" widget. The commerce-media play that turns quick-commerce platforms into ad networks; Blinkit reportedly hit ₹150 Cr ($18M) of annual ad revenue at the Q4 FY25 run-rate.
- Brand-collaboration revenue. Endemic and non-endemic brand campaigns — coupon distribution, sampling drops, exclusive new-launch slots. Unilever, Reckitt, PepsiCo, and Mondelez all pay this without negotiation once the platform clears 500,000 monthly actives.
- Dynamic pricing markup. Per-SKU price adjustment based on demand, time-of-day, and competitive scrape. The same essential SKU may carry a higher margin during evening peak than during the 10am lull. Configurable per category with floors and ceilings to keep buyer trust.
- Express tier upcharge. 5-minute Ultra Express adds ₹29 ($0.35) — drawing on the existing fleet but flagging the rider for prioritised dispatch. Premium SLA buyers (corporate offices, hospitals, parents with sick kids at home) absorb this without churn.
- White-label reseller licensing. Sell the platform itself to operators in adjacent cities or countries — $2,500/month per reseller seat plus revenue share. One reseller agency typically brings 5–15 city deployments in a year.
What's Inside the White Label Zepto Clone
Fourteen numbered modules. Every one is in the demo — you walk through them on a real iPhone with a real test order, a real picker tablet, and a real rider app before you commit a dollar.
1. Native iOS + Android Customer App
Two real React Native builds with native Swift and Kotlin modules for background location, push handling, and the App Store reviewer scrutiny that has hit every quick-commerce app on the SKU-claim-vs-actual-delivery-time consistency check since 2024. Search, category browse, cart, checkout, real-time order tracking, reorder, and rating — every primitive a Zepto buyer expects.
2. 10-Minute Promise Engine
The SLA enforcement layer. Every order has a server-side promise timestamp computed at checkout from picker-load + rider-distance, surfaced as a live countdown to the customer, escalated to the dark-store manager if the picker pack-time exceeds 90 seconds or the rider dispatch lags by more than 30 seconds. The number on the box is what builds the trust — the engine is what keeps it honest.
3. Dark Store Inventory Management
The hard part most clones skip. Per-store SKU stock counts in PostgreSQL with Redis-locked atomic deduction on add-to-cart (not on checkout — Zepto's defining mechanic). Cycle-count tasks scheduled per shift, damage and shrinkage logging, expiry-date tracking with automatic markdown rules, and a barcode + name search for the picker. The inventory engine is what separates a quick-commerce platform from a glorified grocery app.
4. Picker Tablet App with Pick-Path Optimisation
An Android tablet app for the dark-store picker. Orders queue in the dashboard sorted by promise-time and rider-batch eligibility. When the picker accepts a batch, the app computes the shortest pick path across the warehouse aisle graph (A* with aisle blockage avoidance) and projects the route as a sequenced list — pickup bay 4, aisle 2-B, aisle 7-A, fridge 3, pack station. Items get scanned via the tablet's camera. Average pick time on shipped builds is 95 seconds for a 7-SKU basket.
5. Geofence-Based Store Routing
When a customer opens the app, PostGIS picks the dark store that serves them — by drive-time distance, current stock availability across the cart, and rider availability. If the primary store is out-of-stock on a single item, the router falls back to the secondary store within the catchment, with the additional rider-time added to the promise timestamp. Customers never see "item unavailable" — they see a slightly longer ETA.
6. Rider Batch-Routing
Multi-order trips are how quick commerce reaches positive unit economics. The router (OSRM + a surge-aware TSP layer) batches two or three orders heading in the same direction, sequences them by promise-time, and dispatches the rider with a turn-by-turn navigation overlay. Each delivery costs roughly 30-40% less than a solo trip — the difference between a -30% gross margin business and a +12% one.
7. AI Demand Forecasting and Auto-Replenishment
Per-store demand forecast model trained on hourly sales by SKU, day of week, weather, and local-event calendar. Forecast triggers auto-replenishment purchase orders to the distributor or central warehouse with configurable safety stock and lead-time padding. Reduces stockouts from ~14% baseline (industry norm) to under 4% on shipped builds, which is the single highest-leverage retention lever in quick commerce.
8. Surge Pricing Per Micro-Fulfilment Cell
Demand and supply rarely move together — a Sunday afternoon storm spikes demand in one neighbourhood while another stays quiet. The surge engine prices each fulfilment cell independently based on the live demand-to-rider ratio, with multipliers from 1.0x to 2.5x. Customers see a small "high demand" badge before checkout; configurable caps prevent runaway pricing.
9. Out-of-Stock Fallback and Substitution
If a picker scans a product and finds the shelf actually empty (shrinkage, miscount, last-second sale), the customer is notified instantly and offered three substitution paths: accept a close substitute (auto-suggested by the recommendation engine), drop the item and adjust the bill, or cancel the entire order with refund. The flow happens inside 8 seconds; conversion to "accept substitute" runs at 71% on shipped builds.
10. Multi-Cart Promotions Engine
BOGO, percentage-off thresholds, free-product-with-cart, time-windowed flash sales, first-order coupons, and the "₹40 off above ₹399" pattern every Indian operator runs. Promotions are rule-based, stackable with explicit precedence, and instrumented end-to-end so you can measure CAC payback per coupon SKU.
11. Payments — UPI, Razorpay, Mada, HyperPay, COD
India: UPI (PhonePe, GPay, Paytm) primary, Razorpay as the orchestration layer for cards and net-banking, Cash on Delivery as the default for first-order trust. MENA: Mada (Saudi national debit), HyperPay for cards, STC Pay and urpay as additional wallets, plus PayTabs and Telr for the wider GCC. Apple Pay and Google Pay tokenise on top in both regions. Stripe Connect handles global cards.
12. Customer Loyalty and Referral Engine
Refer-a-friend wallet credits, tiered loyalty (Zepto-Pass-style), birthday-month free delivery, and a streak mechanic that drives weekly-order frequency. Referral attribution survives app reinstalls via fingerprinting + invitation-code persistence. Loyalty drives 40-50% of MAU in mature quick-commerce platforms.
13. Super Admin Dashboard with Cohort Analytics
Live map of every dark store and active rider, cohort retention curves by city and acquisition channel, per-store P&L with contribution-margin breakdown, SKU-level velocity and stockout-rate analytics, surge configuration, geofence editor, picker-and-rider payout schedule, and a regulator-export pipeline. Built on ClickHouse for event-grain queries, surfaced through a Next.js admin UI.
14. White-Label Branding + Multi-Language Engine
Logo, palette, typography, app icons, splash screens, push-notification copy, paywall copy, email templates, and the launch microsite — all swappable from a single admin surface. Multi-language support for Hindi, English, Tamil, Telugu, Bengali, Arabic, French, Bahasa, and Vietnamese with RTL layout flipping for Arabic. We rebrand the platform completely under your identity in the first 72 hours.
Want to see the dark-store inventory engine, picker app, and rider batch-routing running on real devices with a real test order?
Request Demo Access TodayThe Tech Stack — What We Actually Use
Named tools at every layer. Every one is shipping in production on real builds:
- Customer mobile: React Native + Expo with native Swift and Kotlin modules for background location, push handling, and biometric checkout.
- Picker tablet app: React Native build optimised for 10-inch Android tablets, with barcode scanning via the device camera and offline-first ordering for warehouse Wi-Fi dropouts.
- Rider mobile: Separate React Native build with continuous background location, turn-by-turn navigation overlay, and the batch-trip handoff flow.
- Web frontend: Next.js 14 (App Router) + TypeScript + Tailwind for the admin dashboard, the merchant onboarding flow, and the public marketing landing page.
- Backend API: Node.js + Fastify + tRPC + Zod for type-safe contracts, deployed on AWS Mumbai or Hyderabad region for Indian data-residency requirements.
- Primary database: PostgreSQL 16 with the PostGIS extension for geofences and store-cluster geometries, and per-store SKU inventory tables partitioned for the high-velocity write pattern.
- Cache and atomic locks: Redis on ElastiCache for cart locks, inventory deduction, presence, surge state, and the rider-dispatch event bus.
- Maps and routing: Mapbox primary (geocoding, directions, navigation), Google Maps fallback. OSRM for the rider-batch TSP optimisation, A* over a warehouse-graph layer for the picker pick-path.
- Payments: Razorpay for India (UPI + cards + net-banking + wallets), HyperPay and STC Pay for KSA, PayTabs and Telr for the wider GCC, Stripe Connect globally.
- AI forecasting: Python service running scikit-learn and Prophet for SKU-level demand forecasting, with a tRPC bridge that the Node backend calls before every replenishment-order generation.
- Analytics warehouse: ClickHouse for event-grain telemetry (every cart add, every pick, every delivery), surfaced through a Next.js admin UI with Looker Studio embedded for the heavier slicing.
- Observability: Datadog APM and Sentry for error tracking, plus an export pipeline into S3 for the picker-rider per-shift performance audit retention.
Why Buy From Make An App Like Instead of Other Clone Shops
- 300+ apps shipped, four quick-commerce builds in production. Two in India, one in the UAE, one in Indonesia. We are not learning PostGIS, picker pick-path optimisation, or rider batching on your money. If you need the marketplace-courier flow rather than the dark-store flow, the same team also ships the Mrsool Clone and DeliverIt Clone builds.
- 14–21 days, not 9–18 months. The agencies promising "MVP in 7 days for $49/month" usually mean a generic grocery storefront without the dark-store inventory engine, the picker app, the rider batching, or the surge layer. None of those clones survive contact with a real warehouse — ours does.
- Real dark-store ops engineering. Per-store inventory with atomic locking, picker pick-path optimisation, rider batch-routing, geofence-based store-router, demand forecasting, surge per micro-cell. The unsexy plumbing that turns a -30% gross margin business into a +12% one.
- Full unencrypted source code. No obfuscated modules, no rented "core engine", no licence keys to renew. Your engineers can fork the inventory ledger, the picker A* router, or the rider batching algorithm on day one.
- Pre-wired payment rails per region. Razorpay + UPI for India, HyperPay + Mada + STC Pay for KSA, PayTabs + Telr for the wider GCC. The plumbing other agencies quietly leave out then charge $30,000+ to retrofit.
- Six months of free post-launch support. Bug fixes, App-Store rejection appeals, library patches, payment-gateway SDK refreshes, and the SKU-claim-vs-delivery-time consistency audits Apple reviewers now run on every quick-commerce submission. Most clone shops vanish at handover. We don't.
Get an exact quote tailored to your city cluster, dark-store count, SKU catalogue, and payment-gateway mix.
Get Exact Cost EstimationZepto Clone vs Building From Scratch
| What matters | Custom build | Our Zepto Clone |
|---|---|---|
| Time to first paid order | 9–18 months | 14–21 days |
| All-in cost, year one | $80,000 – $300,000+ | $4,500 – $18,000 |
| Engineering team required | 5–7 senior + 1 ops + 1 DevOps | Zero — we deploy |
| Per-store inventory engine + real-time stock | 8–12 weeks to ship + harden | Day one, with Redis-locked atomic deduction |
| Picker tablet app with pick-path optimisation | 6–10 weeks | Pre-built, A* over the warehouse graph |
| Rider batch-routing (2-3 orders per trip) | 4–6 weeks | OSRM-backed, surge-aware, included |
| Geofence-based store matching | 3–5 weeks | PostGIS day one |
| UPI / Razorpay / Mada / HyperPay gateways | 4–6 weeks per gateway | All four pre-wired |
| iOS + Android store approval | 4–8 weeks per platform | We submit under your brand |
| Source code ownership | What your team wrote | Full unencrypted |
| Time to your tenth active dark store | 8+ months | First four weeks |
Feature Highlights
Native iOS + Android Customer App
Two real React Native builds with native Swift and Kotlin modules for background location, push handling, and the App Store reviewer scrutiny that has hit every quick-commerce app on the SKU-claim-vs-actual-delivery-time consistency check since 2024. Search, category browse, cart, checkout, real-time order tracking, reorder, and rating — every primitive a Zepto buyer expects.
10-Minute Promise Engine
The SLA enforcement layer. Every order has a server-side promise timestamp computed at checkout from picker-load + rider-distance, surfaced as a live countdown to the customer, escalated to the dark-store manager if the picker pack-time exceeds 90 seconds or the rider dispatch lags by more than 30 seconds. The number on the box is what builds the trust — the engine is what keeps it honest.
Dark Store Inventory Management
The hard part most clones skip. Per-store SKU stock counts in PostgreSQL with Redis-locked atomic deduction on add-to-cart (not on checkout — Zepto's defining mechanic). Cycle-count tasks scheduled per shift, damage and shrinkage logging, expiry-date tracking with automatic markdown rules, and a barcode + name search for the picker. The inventory engine is what separates a quick-commerce platform from a glorified grocery app.
Picker Tablet App with Pick-Path Optimisation
An Android tablet app for the dark-store picker. Orders queue in the dashboard sorted by promise-time and rider-batch eligibility. When the picker accepts a batch, the app computes the shortest pick path across the warehouse aisle graph (A* with aisle blockage avoidance) and projects the route as a sequenced list — pickup bay 4, aisle 2-B, aisle 7-A, fridge 3, pack station. Items get scanned via the tablet's camera. Average pick time on shipped builds is 95 seconds for a 7-SKU basket.
Geofence-Based Store Routing
When a customer opens the app, PostGIS picks the dark store that serves them — by drive-time distance, current stock availability across the cart, and rider availability. If the primary store is out-of-stock on a single item, the router falls back to the secondary store within the catchment, with the additional rider-time added to the promise timestamp. Customers never see "item unavailable" — they see a slightly longer ETA.
Rider Batch-Routing
Multi-order trips are how quick commerce reaches positive unit economics. The router (OSRM + a surge-aware TSP layer) batches two or three orders heading in the same direction, sequences them by promise-time, and dispatches the rider with a turn-by-turn navigation overlay. Each delivery costs roughly 30-40% less than a solo trip — the difference between a -30% gross margin business and a +12% one.
AI Demand Forecasting and Auto-Replenishment
Per-store demand forecast model trained on hourly sales by SKU, day of week, weather, and local-event calendar. Forecast triggers auto-replenishment purchase orders to the distributor or central warehouse with configurable safety stock and lead-time padding. Reduces stockouts from ~14% baseline (industry norm) to under 4% on shipped builds, which is the single highest-leverage retention lever in quick commerce.
Surge Pricing Per Micro-Fulfilment Cell
Demand and supply rarely move together — a Sunday afternoon storm spikes demand in one neighbourhood while another stays quiet. The surge engine prices each fulfilment cell independently based on the live demand-to-rider ratio, with multipliers from 1.0x to 2.5x. Customers see a small "high demand" badge before checkout; configurable caps prevent runaway pricing.
Out-of-Stock Fallback and Substitution
If a picker scans a product and finds the shelf actually empty (shrinkage, miscount, last-second sale), the customer is notified instantly and offered three substitution paths: accept a close substitute (auto-suggested by the recommendation engine), drop the item and adjust the bill, or cancel the entire order with refund. The flow happens inside 8 seconds; conversion to "accept substitute" runs at 71% on shipped builds.
Multi-Cart Promotions Engine
BOGO, percentage-off thresholds, free-product-with-cart, time-windowed flash sales, first-order coupons, and the "₹40 off above ₹399" pattern every Indian operator runs. Promotions are rule-based, stackable with explicit precedence, and instrumented end-to-end so you can measure CAC payback per coupon SKU.
Payments — UPI, Razorpay, Mada, HyperPay, COD
India: UPI (PhonePe, GPay, Paytm) primary, Razorpay as the orchestration layer for cards and net-banking, Cash on Delivery as the default for first-order trust. MENA: Mada (Saudi national debit), HyperPay for cards, STC Pay and urpay as additional wallets, plus PayTabs and Telr for the wider GCC. Apple Pay and Google Pay tokenise on top in both regions. Stripe Connect handles global cards.
Customer Loyalty and Referral Engine
Refer-a-friend wallet credits, tiered loyalty (Zepto-Pass-style), birthday-month free delivery, and a streak mechanic that drives weekly-order frequency. Referral attribution survives app reinstalls via fingerprinting + invitation-code persistence. Loyalty drives 40-50% of MAU in mature quick-commerce platforms.
Super Admin Dashboard with Cohort Analytics
Live map of every dark store and active rider, cohort retention curves by city and acquisition channel, per-store P&L with contribution-margin breakdown, SKU-level velocity and stockout-rate analytics, surge configuration, geofence editor, picker-and-rider payout schedule, and a regulator-export pipeline. Built on ClickHouse for event-grain queries, surfaced through a Next.js admin UI.
White-Label Branding + Multi-Language Engine
Logo, palette, typography, app icons, splash screens, push-notification copy, paywall copy, email templates, and the launch microsite — all swappable from a single admin surface. Multi-language support for Hindi, English, Tamil, Telugu, Bengali, Arabic, French, Bahasa, and Vietnamese with RTL layout flipping for Arabic. We rebrand the platform completely under your identity in the first 72 hours.
Built for serious operators
Indian tier-2 city operators — founders launching in Jaipur, Ahmedabad, Surat, Pune, Indore, Coimbatore, Lucknow, and Kochi where Blinkit and Zepto coverage is thinner than in Mumbai or Bangalore. The first operator with a 4-store cluster in a tier-2 city captures the supply-side margin nationally-bigger competitors cannot match without sustained loss-funding.
Saudi and UAE founders filling the post-Getir gap — Getir collapsed in MENA in 2024, leaving Riyadh, Jeddah, and Dubai with no native 10-minute operator. The mid-market dark-store opportunity is open, and operators with a single licensed warehouse in each major city can take it.
African quick-commerce founders — Lagos, Nairobi, Accra, and Cairo operators where the demographic profile (dense urban centres, smartphone-first households, time-poor middle class) matches the early-Zepto curve almost exactly.
Southeast Asia operators — Indonesia, Philippines, Vietnam, and Thailand founders riding the same wave that took Zepto from $200M valuation to $7B in three years, with local-language and local-payment-rail adaptations.
FMCG distributors going DTC — existing wholesale operators with 100-500 SKUs and warehouse infrastructure who want to bypass kirana retailers and sell directly via instant delivery, capturing both the distributor margin and the retail margin.
Supermarket chains digitising — established supermarket groups (DMart-tier, Lulu-tier, Carrefour-tier in MENA) converting one or two store backrooms into picker-only dark stores to launch a 10-minute service alongside the in-store experience.
How you make money
- 01
Order margin on owned inventory. The primary revenue line. Buy at distributor wholesale, sell at the in-app retail price. Indian quick commerce margins compress to 8-14% net after delivery cost — but on Zepto's AOV of ~₹600 ($7) and 1.2M daily orders, that compounds aggressively. Configurable per category.
- 02
Delivery fee. ₹20–₹50 ($0.24–$0.60) per order below the free-delivery threshold, zero above. The threshold is your conversion-vs-margin lever; Zepto runs ₹149 ($1.80), Blinkit runs ₹199 ($2.40). Configurable per city and per time-of-day.
- 03
Membership subscription. Zepto Pass at ₹99/month ($1.19) for unlimited free delivery; Blinkit's Bistro Pass at ₹199. On 200,000 active users with 12% conversion to membership at ₹99, that is ₹2.4M ($28,800) per month of pure-margin recurring revenue alone.
- 04
Sponsored brand listings. FMCG brands pay ₹40,000–₹400,000/month ($480–$4,800) to occupy the homepage carousel, the search-result top strip, or the "frequently bought" widget. The commerce-media play that turns quick-commerce platforms into ad networks; Blinkit reportedly hit ₹150 Cr ($18M) of annual ad revenue at the Q4 FY25 run-rate.
- 05
Brand-collaboration revenue. Endemic and non-endemic brand campaigns — coupon distribution, sampling drops, exclusive new-launch slots. Unilever, Reckitt, PepsiCo, and Mondelez all pay this without negotiation once the platform clears 500,000 monthly actives.
- 06
Dynamic pricing markup. Per-SKU price adjustment based on demand, time-of-day, and competitive scrape. The same essential SKU may carry a higher margin during evening peak than during the 10am lull. Configurable per category with floors and ceilings to keep buyer trust.
- 07
Express tier upcharge. 5-minute Ultra Express adds ₹29 ($0.35) — drawing on the existing fleet but flagging the rider for prioritised dispatch. Premium SLA buyers (corporate offices, hospitals, parents with sick kids at home) absorb this without churn.
- 08
White-label reseller licensing. Sell the platform itself to operators in adjacent cities or countries — $2,500/month per reseller seat plus revenue share. One reseller agency typically brings 5–15 city deployments in a year.
What's in the package
- Full unencrypted source code — iOS, Android, web, admin, API
- Live demo + walkthrough before purchase
- White-label setup — logo, colors, domain, app icons, splash
- Deployment on your server
- Apps submitted to App Store + Play Store under your brand
- 6 months of free updates, bug fixes & priority support
- Full technical, API & admin documentation
- Custom integrations on request
- 7-day money-back guarantee
- Tech stack: Customer mobile: React Native + Expo with native Swift and Kotlin modules for background location, push handling, and biometric checkout., Picker tablet app: React Native build optimised for 10-inch Android tablets, with barcode scanning via the device camera and offline-first ordering for warehouse Wi-Fi dropouts., Rider mobile: Separate React Native build with continuous background location, turn-by-turn navigation overlay, and the batch-trip handoff flow., Web frontend: Next.js 14 (App Router) + TypeScript + Tailwind for the admin dashboard, the merchant onboarding flow, and the public marketing landing page.
How it works
- 1
Demo call
45-minute walkthrough of admin, user app, and customisation. No pressure.
- 2
Custom quote
You get a tailored 24-hour roadmap with timeline + price for your business model.
- 3
Kickoff
Pay 30% to start. We rebrand the platform with your logo, colors, and domain.
- 4
Deployment
We install on your server, submit iOS + Android apps to the stores under your identity.
- 5
Go live
Walkthrough credentials handed over. You start onboarding sellers / users / customers.
- 6
6 months support
Bug fixes, updates, priority Slack. Most clone shops vanish — we don't.
Frequently Asked Questions
How much does a Zepto clone app cost?
Our white-label Zepto clone is priced at $4,500–$18,000 one-time, depending on which modules you turn on. Starter ($4,500) covers the customer app, single dark store, manual inventory, and Razorpay-only payments. Growth ($8,000) adds the picker tablet app, multi-store routing, geofence-based fulfilment, and pick-path optimisation. Pro ($13,000) layers in rider batch-routing, surge pricing per cell, AI demand forecasting, and auto-replenishment. Enterprise ($18,000) opens full unencrypted source code, multi-language and RTL theming, reseller licensing, and cohort-analytics admin. There is no per-order platform tax — the price is one-time.
How long will it take to launch a 10-minute quick commerce platform?
Standard delivery is 14–21 days from kickoff. Days 1–4 are rebrand: logo, palette, app icons, splash screens, push certificates, paywall copy. Days 5–14 are integration: your AWS Mumbai or Hyderabad region, your Razorpay merchant account, your distributor SKU catalogue ingest, your dark-store geofence definitions, your Mapbox API key, your picker-tablet device fleet. Days 15–20 are private QA with a single live dark store, real pickers, real riders, real test orders. Day 21 onwards is post-launch handover. Your physical dark-store fit-out (shelving, fridge, signage, hiring) runs in parallel for 30–60 days per store.
Do I get the full source code of the Zepto clone?
Yes — full unencrypted source code on the Pro and Enterprise plans. That covers the customer iOS and Android apps, the picker tablet app, the rider app, the Next.js admin dashboard, the Node.js + Fastify backend, the per-store inventory engine, the picker pick-path optimiser, the rider batch-routing layer, the AI demand-forecasting service, every payment-gateway adapter, and the cohort-analytics tier. No encrypted blobs, no rented "core engine", no licence keys to renew. Your engineering team can fork any module on day one. IP transfer is documented in the contract.
How does the dark-store model work versus a marketplace courier app?
A marketplace courier app (Mrsool, DeliverIt) dispatches an independent rider to buy from any third-party store on behalf of the customer — variable cost, variable inventory, variable price. A dark-store quick-commerce platform (Zepto, Blinkit, Instamart) owns the inventory and the rider, holding 3,000-5,000 SKUs in a 1,500-3,000 sq ft micro-warehouse located 2-3 km from the customer. The customer browses your catalogue (not the open market), a trained picker assembles the order in under two minutes, and a rider on your fleet delivers in under eight. The economics are fundamentally different — higher fixed cost (warehouse + inventory), lower variable cost, much tighter SLA control.
Which payment gateways are pre-wired?
India: Razorpay as the orchestration layer (UPI via PhonePe, GPay, and Paytm; cards; net banking; wallets), plus Cashfree and Juspay adapters for redundancy. Saudi Arabia: HyperPay as the card acquirer, Mada for the national debit network, STC Pay and urpay as additional wallets. Wider GCC: PayTabs, Telr, and Network International. Global: Stripe Connect for cards and split-payouts. Cash on Delivery ships as the default for first-time customers per the local trust pattern in both India and MENA. Apple Pay and Google Pay tokenise on top of every gateway.
How does the platform handle out-of-stock items mid-order?
Three-layer fallback. Layer one: the inventory engine deducts stock on add-to-cart (not at checkout), so out-of-stocks rarely happen at all. Layer two: if the geofence-matched primary dark store cannot fulfil a single line item, the router silently falls back to the secondary store within the catchment, with the additional rider time added to the promise countdown. Layer three: if a picker physically scans a product and finds the shelf empty (shrinkage or miscount), the customer is notified inside 8 seconds and offered a close substitute, an item drop with refund, or a full order cancellation. Substitution acceptance rate on shipped builds is 71%.
What unit economics can I realistically expect on a 10-minute delivery?
Conservative benchmarks from shipped builds, anchored against the public Blinkit numbers. AOV: ₹500–₹750 ($6–$9) in India, $14–$22 in MENA. Delivery cost per order: ₹50–₹70 ($0.60–$0.85) once rider batch-routing reaches 2.4 orders/trip. Contribution margin: 6–12% net on owned inventory in the first six months, climbing to 12–18% by month twelve as the picker-and-rider productivity curve compounds. The platform-cost breakeven on the $4,500–$18,000 build hits at 800–1,500 orders/day for most operators — typically month three of operations from a single well-located dark store.
Do you provide a live demo before I purchase?
Yes — a 45-minute live walkthrough on real devices with a real test order before any contract is signed. You see a customer add items from a real iPhone, the geofence router pick the closest dark store, a picker on a real Android tablet receive the batch and walk the pick-path in under two minutes, a rider receive the batched trip with three orders and navigate the optimised route, the customer see the live 10-minute countdown, and the cohort-analytics dashboard show the event-grain flow through ClickHouse. We share screen, you ask the operational questions, and you leave the call with a tailored 24-hour quote for your city cluster, SKU mix, and payment-gateway scenario. No deposit required.
Launch your Zepto-style platform this month
Full source code · White-labelled · Deployed on your server · 6 months free support
