One cart, two inventories
First-party stock and vendor listings share a single cart and product graph, with separate margin and commission accounting in the ledger.
AI-Built Walmart Clone
An AI-first build of the omnichannel retail model: demand forecasting across grocery and merchandise, substitution intelligence that saves the basket, and slot pricing that protects the promise. Four synced panels ship white-label with 100% source code, owned by you from day one. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks.
Launch-ready from
$2,799

Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
Hybrid grocery and merchandise retail, engineered as one system.
overview
A Walmart-style marketplace is a hybrid retail platform that combines first-party inventory with third-party vendor listings in one cart: weekly groceries and general merchandise share a single checkout, while your own stock and seller commissions account separately in the ledger. Delivery slots and store pickup give customers two fulfillment paths, backed by substitution and expiry-aware inventory.
The purpose is to run omnichannel retail without running two systems. Pure marketplaces lack grocery urgency; pure grocery apps lack catalog breadth. The hybrid model wins because the weekly shop builds visit frequency that general merchandise monetizes, and because store networks double as fulfillment infrastructure for pickup orders.
The platform includes a buyer app with slot booking, pickup check-in, and substitution approvals, a seller and store panel covering pick lists, slot capacity, and vendor catalogs, and an admin console for zone configuration, vendor commissions, substitution rules, COD-style settlements, and consolidated analytics.
Grocery's share of online retail keeps climbing according to widely published industry analyses, and the operators winning that demand are the ones combining store networks with marketplace breadth. A code-owned platform puts both sides of that equation, first-party margin and vendor commission, on your books.
The platform-level capabilities above the role panels, built for hybrid retail.
First-party stock and vendor listings share a single cart and product graph, with separate margin and commission accounting in the ledger.
Per-zone capacity caps keep delivery windows deliverable on peak days, protecting the promise instead of refunding it.
Geofenced arrival check-in, order staging status, and proof-of-handoff make pickup as tracked as delivery.
Out-of-stock groceries trigger replacement proposals from admin-configured groups, approved by the buyer in real time.
Freshness tracked alongside availability, so perishable stock stays honest and waste is visible.
Per-category commission rules with ledger-backed settlements and statements that reconcile to the cent.
Digital versions of the weekly shop, driving habitual traffic the way print circulars always have.
Pick speed, staging accuracy, slot utilization, and margin by side of the house reported from one console.
What these buyers share: store networks or wholesale economics already in hand, and the intent to run hybrid retail on one system instead of two.
They hold the stores, the inventory, and the weekly traffic, and pickup becomes the margin-friendly fulfillment path.
Membership plus bulk economics maps directly onto slot-based delivery and circular-driven traffic.
Whose regulated inventory needs expiry discipline and substitution rules the platform enforces natively.
Adding third-party shelves without rebuilding their stack, with vendor commissions accounting separately from store margin.
Deploying omnichannel platforms for retail clients, with zone maps and substitution groups configured per network.
Grocery urgency and general-merchandise browsing have different rhythms. The build handles both. All three surfaces sync to one backend.
One cart for weekly groceries and everything else.
Vendors and store branches share one fulfillment workflow.
Run the network: stores, vendors, zones, and margins.
Four consoles, one view of the network's orders, stock, and margin position.
The nine-state order machine operated end to end: per-line delivery statuses, partial fulfilment and partial cancellations as defined states, stock-out and failed-delivery workflows, and a status history with actor, note, and timestamp behind every transition.
The refund pipeline with its own status machine, partial returns and restocking, reversed commission and loyalty, and month-end reconciliation across the four wallets with reports exported to Excel, CSV, or PDF.
Multi-store management, zone and slot configuration with capacity caps, substitution rule defaults, expiry-batch inventory oversight, and pickup order staging, so freshness and slot honesty both stay governed.
First-party margin versus vendor commission reported separately per order, fraud detection over accounts and returns, seller quality scoring, and consolidated analytics over any date range the accountant asks for.
The product journey, end to end.
The buyer shops weekly groceries and general merchandise in a single cart that spans first-party stock and vendor listings.
Checkout offers delivery slots with live capacity per zone, or a store-pickup window with geofenced check-in at arrival.
Store or warehouse staff generate pick lists; out-of-stock items trigger substitution proposals from admin-configured groups, and the buyer approves in real time.
Delivery orders route to the courier flow with map tracking; pickup orders stage in-store with proof-of-handoff captured in the app.
Inventory tracks expiry batches alongside vendor stock, so freshness and availability both stay truthful.
Vendor commissions and first-party margins account separately in one ledger, with express slot fees and pickup handling fees priced from the admin panel.
Five model-driven systems working the same basket stream. Each ships pre-tuned for omnichannel retail and sharpens as your data compounds.
Proposes replacements for out-of-stock groceries from product similarity and buyer history, saving baskets instead of canceling them.
Product attributes, buyer history, stock levels
Saved orders that generic carts lose
Projects grocery and merchandise demand per store, zone, and week so pick staffing, stock, and slot capacity are planned ahead.
Order history, seasonal patterns, weekly cycles
Shelves and slots matched to the weekly shop
Prices express and standard delivery windows against real capacity and demand, protecting margin without breaking promises.
Slot uptake, zone capacity, demand curves
Delivery fees that cover their own cost
Sequences pick lists and predicts staging readiness so pickup windows run on time across branches.
Pick times, staging status, branch load
Pickup that feels as tracked as delivery
Flags refund abuse, account anomalies, and vendor fraud before they reach the settlement ledger.
Refund patterns, account signals, vendor metrics
Hybrid retail that stays auditable
platform concepts
Every order is a state machine with two exits. Placed, picked, staged, delivered or handed off, settled: each transition is an idempotent event, and delivery and pickup paths share the same event log so the buyer sees one order story regardless of fulfillment path.
Hybrid economics run in one ledger with two sides. First-party inventory and third-party vendor listings share a cart and product graph while margin and commission account separately, so you can see which side of the house pays for each order and price slot fees and commissions accordingly.
Store pickup is a tracked flow, not a desk. Geofenced check-in, order staging status, and proof-of-handoff give the buyer delivery-grade visibility, and store performance metrics show pick speed and staging accuracy per branch. Expiry-batch inventory and substitution groups keep grocery honest, and everything reconciles through the same ledger.
Four groups, each mapped to the part of the everyday-retail promise it protects.
Nine order statuses with a delivery status per line, so split shipments across sellers, partial fulfilment, partial cancellations, and stock-outs are each a defined state with an audit trail, and support answers from the record instead of guesswork.
Refunds, partial returns, restocking, and reversed commission modelled end to end with a status machine preventing double-spend, because platforms rarely fail at checkout — they fail three days later.
Bulk import and barcode-level SKU management, low-stock alerts and restock subscriptions, a clearance storefront for short-dated stock, and expiry-batch tracking where categories demand it, so volume turns without going stale.
Four append-only wallets, commission reversing with refunds, settlement records per gateway, and sales, seller, wallet, refund, and tax reports over any date range exported to Excel, CSV, or PDF, because on a thin-margin book the reports are how you find out whether last month worked.
insight
Everyday retail is a volume business with structural thin margins: baskets are small, order frequency is high, and the operating leverage comes from keeping the cost per order down while the catalog turns. Widely published industry analyses consistently show online grocery and general merchandise growing at the expense of pure storefront retail, with the winners engineered around fulfillment cost rather than basket size.
The wedge for an operator is operational honesty at volume: an order state machine that survives partial deliveries, a returns pipeline that reconciles without manual adjustment, and reports an accountant will accept. Get those right and thin margins compound; get them wrong and volume multiplies the leak. The revenue table below quantifies the lines.
Commission on vendor orders and margin on first-party (your own) inventory, mixed in one platform.
Express slot fees for same-day delivery windows.
Vendor advertising inside search and category pages.
Pickup handling fees where your store network fulfills orders.
Every rate is admin-configurable, so you can balance first-party and third-party economics as the network grows.
Six monetization lines across the marketplace, quantified against published industry benchmarks. Every rate is admin-configurable; the figures here are modelling inputs, not projections of your platform's earnings.
| Criteria | Revenue line | How it is charged | Typical range | What sets the ceiling |
|---|---|---|---|---|
| Commission and first-party margin | Commission on vendor orders plus product margin on your own inventory, accounted separately in one ledger | Retail commissions commonly run 5% to 15%; first-party margin varies by category | Category mix. The ledger shows which side of the house pays for each order, so both stay priced honestly | |
| Seller subscriptions | Tiered plans with product-count limits, reduced commission, and priority support | Plan prices set per market | Seller economics. On thin margins, tiers sell when the commission saving is provable | |
| Delivery margin | A mark-up on the shipping charge, set per zone and weight band | Set per route economics | Density. Everyday-retail delivery works when routes fill, which is what the demand model feeds | |
| Express slot fees | Fees for same-day delivery windows with real capacity behind them | Priced per slot or subscription | Capacity honesty. Slots sell when the network keeps them | |
| Vendor advertising | Sponsored placement inside search and category pages | Auction or fixed-rate per slot | Search integrity. Placement earns while ranking stays relevant to bargain-hunters | |
| Pickup handling | Fees where your store network stages and hands off orders | Structural; a flat fee per pickup order | Store utilization. Pick speed and staging accuracy decide whether the fee is worth paying |
Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.
The complete unencrypted codebase transfers to you, with documentation and deployment scripts. No per-order licensing, no vendor lock-in.
Your logo, colors, typography, and store accounts applied across every panel, plus branded customer communications.
App store and Play Console submissions handled end to end, with production monitoring switched on at go live.
Stripe, PayPal, and regional gateways configured, with automated split payouts across platform, sellers, and partners.
Substitution intelligence, demand forecasting, and slot pricing arrive configured for omnichannel retail, not as raw APIs.
Languages, currencies, and tax display configured for your markets during the launch window.
Containerized services on AWS or Azure with autoscaling and queue-backed checkout for peak-hour traffic.
Sales dashboards, finance reconciliation views, and CSV exports so your operations team starts informed on day one.
Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.
Grocery-grade freshness plus catalog-grade breadth.
Cross-platform apps with a web storefront for weekly-circular SEO, since grocery shoppers search for deals on the web too.
Per-zone delivery windows with capacity caps, so peak-day promises are kept instead of refunded.
Real-time stock across stores, warehouses, and vendors with expiry batches and substitution groups for grocery.
Geofenced check-in, order staging status, and proof-of-handoff so store pickup feels as tracked as delivery.
AWS or Azure with autoscaling and queue-backed checkout, load-tested for weekend and holiday peaks before launch.
POS and ERP systems, courier partners, accounting exports, and notification providers ship as configured integrations, so the platform plugs into the tools your stores already run on.
Role-based access, append-only audit logs, encrypted traffic and secrets, and rate-limited endpoints come standard, so compliance questions have answers before they are asked.
The almost-ready AI build, day by day. App store review can add a short buffer outside our control, and custom builds take 3 to 4 weeks.
Store network, zones, vendor commissions, and slot policy locked with a written scope, and your identity applied across buyer, store, and admin surfaces.
Payment gateways, POS and ERP connections, courier APIs, and slot templates configured and tested.
Stores, vendors, and catalogs loaded with substitution groups armed, then pilot orders run end to end: delivery, pickup, substitution, refund, and settlement.
App store and Play Console submissions with review buffers accounted for, production monitoring switched on, and full launch with post-launch support and product updates included.
Both tracks ship the same inventory and slot core. The difference is time, price structure, and how much you want to change.
| Criteria | Almost-Ready AI Launch | Custom Build |
|---|---|---|
| Time to live | 6 working days from branding handoff | 3 to 4 weeks, scoped before work starts |
| Pricing | Fixed written quote after a short scoping call, no hourly meter | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Recommendations, ranking, and personalization pre-tuned for marketplace commerce | AI services designed around your workflows and data |
| Store integration | POS and ERP connections from the standard library | Any store or warehouse system engineered to spec |
| Branding | White-label: your name, colors, and store accounts | Built to your product spec end to end |
| After launch | Post-launch support and product updates included | Post-launch support and product updates included |
$ moxace launch --nowBook a walkthrough and we will demo slot booking, substitutions, and the store panel on a live build, then send the written scope.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
No two launches price the same. These are the factors that shape the written quote you receive after scoping.
The almost-ready AI build covers the proven feature set. POS or ERP integrations and bespoke loyalty schemes add scoped estimate work.
Zone maps, slot templates, and commission tiers are configured per market. Adding stores or regions means more configuration, never a rebuild.
Payment gateways, POS and ERP systems, and courier partners are wired during the build, and each integration is estimated individually.
Out of the box, substitution, forecasting, and slot pricing are pre-tuned for hybrid retail. Training models on your historical basket data is an optional, separately scoped workstream.
Each ships as an optional module on the same retail core, scoped separately.
Per-store inventory with geofenced check-in and proof-of-handoff, custom-scoped because honest omnichannel pickup is engineered on your store network, not toggled.
Substitution groups and shopper-choice flows for grocery lines, so an out-of-stock item becomes a managed choice instead of a cancelled order.
Warehousing, pick-pack, and shipping services sold to vendors at per-unit rates, turning your logistics capacity into a margin line.
Repeat-delivery plans for consumables with locked pricing and scheduled dispatch, riding the same ledger as one-off baskets.
Agencies and networks stand up a branded marketplace per client or region from one codebase, with category mixes and fee models configured per deployment.
Omnichannel retail fails when it runs on two systems. This build refuses to.
First-party and vendor inventory share the cart while margins account separately, so hybrid retail stays auditable.
Expiry batches, substitution groups, and slot capacity are core product logic, because freshness decides trust.
One hundred percent of the source code transfers to you. No per-order royalties, no black-box dependencies.
Hybrid retail is proven, and the same foundation powers our Instacart clone app and grocery delivery app development tracks for grocery-only launches.
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.
A global brand-content platform our team ships and operates, carrying campaign video to worldwide audiences at broadcast scale.
A high-volume ordering platform from the same engineering system, with recommendation and settlement engines running at consumer scale.
At a few thousand orders a week, approximation becomes leakage. These controls keep the books sealed.
Per-line delivery statuses with a full order-level state machine mean split shipments and stock-outs have defined exits, and every transition carries an actor, a note, and a timestamp.
The refund pipeline runs its own status machine, so a return settles exactly once, reversing money, commission, and loyalty points together with nothing left as a manual adjustment.
Every balance movement across the four wallets writes a paired history row inside the same database transaction, so month-end ties out without reconciliation archaeology.
One cart and one product graph, but two margin lines in the ledger, so you always know which side of the house paid for each order.
Field-level edit history records any operator change to an order, so a correction is itself an audited event rather than a silent overwrite.
the process
The engagement opens with a discovery call covering your store network, zones, vendor commissions, and slot policy, and produces a written quote and dated launch plan. On the almost-ready path your brand is applied across the apps, payment and courier rails are connected, and the platform goes live inside the 6 to 9 day window. Custom work, such as POS or ERP integrations, is scoped per sprint with staging access.
After launch you have included support and product updates. The realistic first 90 days: loading stores, zones, and vendor catalogs in weeks one to four, tuning slot capacity, substitution groups, and commissions against real order data in weeks five to eight, and by week twelve reviewing pickup conversion and margin by side of the house to plan your next category or zone.
Open the web app, sign in with the printed demo credentials, or install the Android build — no signup, no sales call. What you see is what you launch.
Delivery: [email protected] or +91 9876543212 | Delivery_$321
$ moxace launch --nowBook a free scoping call: written plan, fixed quote, and a launch date inside the 6 to 9 day window.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by Walmart.
The phrase “Walmart clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.
The design and codebase are built entirely by our in-house team. Nothing is taken from the Walmart website, applications, or brand assets.
Walmart and all third-party names and marks remain the property of their respective owners, referenced here only to describe the category of software we build.
Read the full legal notice on our disclaimer page.