Time-slot inventory
Customers buy delivery windows that reflect real picking capacity and driver supply, so every promised slot is a slot you can fulfill.
AI-Built AmazonFresh Clone
An AI-first build of scheduled grocery delivery: slot inventory that learns your real picking and driver capacity, replenishment forecasting that stocks weekly staples before households run out, and substitution intelligence that saves baskets instead of refunding them. 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
$2,499

Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
Canonical facts behind every build.
overview
An AmazonFresh-style grocery platform is a full online supermarket operation: customers order groceries through a mobile app with time-slot delivery, while your dark stores or warehouses pick, pack, and dispatch those orders through a coordinated fulfillment system. It is the model Amazon popularized for scheduled grocery delivery, adapted here as a white-label product you own outright.
The purpose is commercial. Grocery is high-frequency, high-basket-value spend, and operators launch this platform to capture a household's weekly budget rather than one-off takeaway orders. Slot-based fulfillment protects delivery promises, and subscription baskets convert single orders into recurring revenue.
The platform includes a customer app, a driver app, a store or warehouse panel, and an admin panel, all running on one backend with shared inventory, slot, and payment systems. Every panel is configurable from the admin console.
Online grocery keeps growing across markets as more households shift weekly spend to scheduled delivery, though penetration varies widely by region. What matters operationally is that slot reliability and cold chain handling decide which platforms retain customers, and both are engineered into the core rather than bolted on.
The headline capabilities, at product level.
Customers buy delivery windows that reflect real picking capacity and driver supply, so every promised slot is a slot you can fulfill.
Households build baskets across days and reorder staples in two taps, which is what lifts monthly spend per customer.
Produce, pantry, and meal-kit boxes run on recurring billing with swap and skip controls, all managed by the customer.
Temperature readings are recorded at packing, loading, and handoff, with threshold alerts and a full audit trail per order.
Customer-set preferences and picker suggestions handle out-of-stocks in-flight, converting refunds into approved swaps.
Batch picking queues, expiry tracking, and pick accuracy reports give your fulfillment team the tooling to run volume.
Slots, fees, subscription prices, and zones are admin-configurable, so launching a new market is configuration rather than development.
Reorder cycles and basket history drive predictions of what each household needs next, surfacing staples before they run out.
Published slots are priced and released from live picker and driver capacity, protecting the delivery promise at peak.
What these buyers share: a market they understand and the desire to own the software rather than rent it. If you bring the supply and the local knowledge, the platform side is the part we handle.
Move weekly household spend online under your own brand. Slot inventory protects your delivery promises while every order feeds forecasting tuned to your shelves.
Enter scheduled grocery delivery in one metro with a fulfillment model built for it, and let AI capacity planning keep slots sellable as volume grows.
Add home delivery to existing membership economics. The platform handles slotting, cold chain, and settlement while your warehouses stay the backbone.
Digitize member stores onto one storefront with per-market fees, zones, and catalogs, all run from a single admin console.
Deploy the platform for multiple retail clients under separate brands. White-label configuration and 100% source code make every deployment a standalone business.
Four products operating as one system. Every panel ships in every build.
Grocery ordering built for weekly household spend.
Built for multi-order routes with perishable cargo.
Dark store and warehouse self-service.
Run fulfillment, fleet, and merchandising from one console.
Four consoles, one view of fulfillment, supply, and money.
Store and hub onboarding with slot and capacity configuration, demand forecasting that pre-staffs slots, and driver fleet monitoring across zones.
The catalog as a supply system: stock counts, shelf-life fields, substitution groups, and cold chain thresholds flowing from supplier intake.
Commission and fee rules, subscription box campaigns, and the refund and dispute console with evidence from the order ledger.
Revenue reporting across slots, fees, and subscriptions, reconciliation against settlements, and export tooling for finance.
The product journey every household repeats, engineered end to end and guarded at every state.
Customers browse categories, reorder staples, or plan the week, with live stock flags reflecting what the fulfilling store actually holds.
Slot availability is computed from picking capacity and driver supply, so every window shown can actually be fulfilled.
Card, wallet, or vouchers captured at checkout, and the order enters the store queue with payment authorized, not settled.
Batch picking queues route items to pickers, with substitution prompts fired the moment an item is out of stock.
Temperature checkpoints at loading and handoff, insulated handling prompts, and multi-stop routes sequenced to protect perishables.
Photo proof closes the state machine, freshness ratings post, and one tap converts the basket into a recurring subscription.
Five model-driven systems working the same order stream. Each ships pre-tuned for scheduled grocery and sharpens as your data compounds.
Publishes sellable delivery slots from live picker throughput, driver supply, and cold storage load, closing slots before they oversell.
Picker throughput, driver supply, slot history, seasonality
Every promised window is a window operations can hit
Predicts what each household needs next from reorder cycles and basket history, surfacing staples before the pantry empties.
Reorder cycles, basket history, category seasonality
Higher subscription adoption and larger repeat baskets
Suggests replacements for out-of-stocks from catalog adjacency, price bands, and the customer's own preferences.
Catalog adjacency, price bands, past substitutions
Out-of-stocks become approved swaps instead of refunds
Watches temperature checkpoints from packing to doorstep and alerts the moment a reading drifts from threshold.
Checkpoint readings, dwell times, cold storage load
Spoilage caught at the checkpoint, not the doorstep
Sequences pick paths against store layout, queue depth, and order mix so the in-store leg stays short at peak.
Store layout, queue depth, order mix
Shorter pick times per order when volume surges
platform concepts
Slot inventory is the core mechanic. One availability model combines picker throughput, driver supply, and cold storage load, then publishes only sellable slots per zone. When a slot fills, it closes automatically, which is what keeps delivery promises honest at peak.
Replenishment runs as recurring orders, not reminders. A subscription SKU carries a billing schedule, a delivery-day rule, and swap preferences, so a weekly produce box renews, pauses, or swaps without a support ticket. Involuntary churn is handled with payment retries before an order is cancelled.
The catalog is a structured supply system. Stock counts, shelf-life fields, and substitution groups flow from supplier intake through the picker and into the customer app, and all fees, slot premiums, and subscription prices are admin-configurable per market. For the rapid dark-store model, see our Blinkit-style build.
Delivery slot fees that flex with demand, so peak evening and weekend slots carry premium pricing.
Basket-based service fees and minimum order thresholds that protect unit economics on small baskets.
Subscription boxes: weekly produce, pantry, or meal kits on recurring billing, a proven retention engine in grocery.
Supplier advertising: sponsored shelf placement and category banners sold on campaign terms.
Every rate, slot, and subscription price is admin-configurable, so you can tune economics per market without a code release.
Four groups, each mapped to the part of the grocery promise it protects.
One availability model combining picker throughput, driver supply, and cold storage load, publishing only sellable slots per zone that close automatically when filled, so delivery promises stay honest at peak.
Subscription SKUs carrying a billing schedule, a delivery-day rule, and swap preferences, so a weekly produce box renews, pauses, or swaps without a support ticket, with payment retries before involuntary churn.
Stock counts, shelf-life fields, and substitution groups flowing from supplier intake through the picker into the customer app, with cold chain thresholds enforced per category.
Basket-based service fees and minimum order thresholds protecting small baskets, slot premiums flexing with demand, and demand forecasting that pre-staffs slots before they fill.
insight
Online grocery keeps compounding past the one-trillion-dollar mark globally by 2030 on widely published forecasts, with scheduled full-basket delivery the segment where household habits form and subscription economics decide profitability.
The engineering wedge is slot inventory and replenishment: sellable slots that close automatically and subscription boxes that renew without tickets are what keep households weekly. The revenue table below quantifies the lines.
Six monetization lines across the platform, 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 |
|---|---|---|---|---|
| Slot fees | Premium pricing on peak delivery slots | Fees commonly $2 to $10+ per slot | Fulfillment honesty. Fees hold while slots stay sellable | |
| Service fees and minimums | Basket fees and order thresholds | Fees commonly 5% to 15% of basket value | Basket size. Fees earn while minimums stay reasonable | |
| Subscription boxes | Weekly produce, pantry, meal kits | Subs commonly $20 to $200+ per month | Habit depth. Boxes earn while quality stays consistent | |
| Supplier advertising | Sponsored shelf and category banners | Ads commonly 2% to 5% of GMV | Shelf trust. Ads earn while placement stays useful | |
| Private label | Own-brand products on the shelf | Margins commonly 30% to 60% on private label | Quality trust. Margins earn while the brand stays trusted | |
| White-label deployments | Branded platforms for regional grocers | Deployments commonly $10,000 to $100,000+ | Market demand. Deals close while per-zone config stays cheap |
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.
Your logo, colors, and store accounts across all four panels, plus branded customer communications.
App store and Play Console submissions handled end to end, with production monitoring switched on.
Stripe, PayPal, and regional gateways configured with automated split payouts across platform, store, and driver.
Slot forecasting, replenishment, and substitution intelligence arrive configured for grocery, 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 order intake 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.
The parts that break on cheap clones are the parts we engineer first.
Picking capacity, driver supply, and cold storage load feed one availability model, so the slots you sell are the slots you can actually fulfill.
Temperature checkpoints from picking to doorstep with threshold alerts, protecting you from the most common refund driver in grocery delivery.
Subscription boxes and standing baskets billed on schedules, with pause, swap, and skip flows that reduce involuntary churn.
Tokenized cards and wallets with split settlement across platform, store, and driver. For the fully custom route, see grocery delivery app development.
Warehouse systems, POS, accounting exports, SMS and WhatsApp providers, mapping, and analytics ship as configured integrations, so the platform plugs into the tools your operations 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. Store review times can add a short buffer outside our control.
Service areas, slot structure, and fee model locked with a written scope, and your identity applied across all four panels.
Payment gateways, SMS, currencies, slot capacity, and subscription SKUs configured and tested against your live accounts.
Catalogs bulk-imported with stock counts, shelf-life fields, and substitution rules, then live test orders run end to end: picking, packing, cold chain, delivery, refund.
App store submissions with review buffers accounted for, production monitoring on, and full launch with post-launch support and product updates included.
Both tracks ship the same slot-inventory 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 | Slot forecasting, replenishment, and substitutions pre-tuned for grocery | AI services designed around your workflows and data |
| Cold chain handling | Checkpoint thresholds and alerts configured per market | Cold chain logic extended to your warehouse SOPs |
| Best for | Operators who want to launch this quarter | Teams with bespoke workflows or a unique model |
| 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 inventory, cold chain checkpoints, and the admin console 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. Bespoke workflows, custom loyalty schemes, or blended verticals add scoped estimate work.
Delivery zones, slot grids, language packs, and currency setups are configured per market. Adding markets means more configuration, never a rebuild.
Warehouse systems, POS, regional payment gateways, and logistics partners are wired during the build, and each integration is estimated individually.
Out of the box, slot forecasting, replenishment, and substitution intelligence are pre-tuned for grocery. Training models on your historical order data is an optional, separately scoped workstream.
Extend the AmazonFresh-style build once the core ordering loop is running.
Recipe kits with weekly menus and prep instructions, the margin-rich format that lifts basket size.
Ready-to-eat meals with day-part scheduling, capturing the dinner occasions fresh groceries miss.
One-tap and voice reordering on household staples, the frictionless loop that deepens replenishment.
Suppliers managing their own listings, stock, and promotions, scaling catalog operations without headcount.
Family profiles with shared lists and budget controls, the household feature that anchors weekly habits.
Deploy the platform for regional grocers under their own identity, with per-zone slots, fees, and subscription configuration.
Ready-made speed with custom-build engineering discipline.
Time-slot inventory is core product logic here, not a calendar bolted onto a food delivery script.
Recurring box commerce, including swap and skip, ships in the standard build because retention decides grocery winners.
One hundred percent of the source code transfers to you. No per-order royalties, no black-box dependencies.
Scheduled grocery is the most proven online grocery model. For a rapid dark-store format instead, see our Blinkit-style build.
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
A food delivery platform operating across a dense multi-cuisine market, with AI-assisted dispatch and live order tracking at consumer scale.
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.
An on-demand delivery platform from the same engineering system, proving the dispatch core holds under city-wide, real-time load.
Tap a card to see how the platform defends its promises.
One availability model publishes only sellable slots per zone, closing automatically when filled, so delivery promises stay honest at peak instead of overbooking.
Subscription SKUs carry billing schedules, delivery-day rules, and swap preferences, so a weekly box renews, pauses, or swaps itself with payment retries before cancellation.
Cold chain thresholds flow from supplier intake through the picker to the door, so temperature-sensitive goods stay within spec end to end.
Substitution groups let pickers propose swaps the customer approves in-app, so replacements improve the basket rather than surprising it.
The refund and dispute console resolves from the order ledger and photo evidence, protecting customers and pickers both.
Slot fees, basket minimums, and subscription prices configure per market from the admin panel, so unit economics tune without a code release.
the process
The engagement starts with a discovery call where we map your service zones, slot structure, catalog sources, and fee model, then send a written scope and fixed quote. Once you approve, you hand over your brand assets and we configure the platform: your logo and colors across all four panels, your payment gateways, currencies, languages, and slot capacity. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks, planned with you up front.
Launch is not the finish line. You get 60 days of included support and 12 months of updates covering bug fixes and OS compatibility releases. In the first 90 days expect to tune slot premiums against real demand, work through substitution rules with your pickers, and onboard suppliers in waves. The software handles the transactions; your picking discipline and slot reliability are what turn it into a business.
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.
Login: [email protected] | Store_321 · Delivery: +91 9876543211 | Driver_321
$ moxace launch --nowBook a free consultation and get a written scope and price.
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 AmazonFresh.
The phrase “AmazonFresh 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 AmazonFresh website, applications, or brand assets.
AmazonFresh 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.