Lovable AI App Builder: I Built an Ecommerce Store With It — Here’s Where It Broke

Let me be honest with you.

I wanted to build an ecommerce store.

Not a side project. Not a demo.

A real working online fashion store with product pages a cart, checkout and payments.

I got quotes from developers. The cheapest one came back at $400. Another said it would take 6–8 weeks minimum. And that was just for the basic version ;

• No custom design
• No advanced features.

I said no.

Because I kept hearing about this tool called the Lovable AI app builder , where you describe what you want in plain English and it builds you a full working web app.

No code.
No developer.
Just prompts.

So I decided to test it myself. Not just browse around it. Actually build something real with it.

What came out of that experiment is Buy2Day , a premium fashion ecommerce store with category navigation, product listings, a slide-out cart, a 3-step checkout flow and an order review page. It looks good. Really good actually.

But here’s the thing nobody tells you ; It also broke. In places that matter.

The payment integration didn’t work the way I expected. There were UI bugs I had to chase down. And some things Lovable simply couldn’t figure out without me re-prompting it 4–5 times.

This post documents everything ; what I built, how I built it, what worked and exactly where it fell apart. Real screenshots at every step. No sugarcoating.

If you’re thinking about using the Lovable AI app builder to build your own ecommerce store, read this first. It’ll save you time, credits and a lot of frustration.

Let’s get into it.

What This Ecommerce Store Is Designed to Do

So before I get into how I built it, let me show you what Buy2Day actually is.
Because context matters here.

Buy2Day is a modern fashion ecommerce store built for the kind of shopper who wants a clean, fast, no-friction buying experience. Think less cluttered marketplace, more premium D2C brand feel , inspired by the UX patterns you see on stores like Eliraa and Snitch.

The idea was simple. A fashion store that works. Category-first browsing, clean product pages, smooth checkout. That’s it. No over-engineering for v1.

Here’s what the store is built to do:

The core shopping flow looks like this:

Home → Browse by Category → Pick a Product → Add to Bag → Checkout → Place Order

Every step of that flow is functional inside Buy2Day. And every step was built using nothing but prompts inside the Lovable AI app builder , no manual code written.

Here’s a quick breakdown of everything the store covers:

Feature	What It Does
Promo Banner	Free shipping offer + discount code at the top
Category Navigation	Women, Men, Accessories, Footwear, New Arrivals, Sale
Product Grid	Product cards with original price, sale price, discount badge
Product Page	Size selector, color selector, Add to Bag, Buy Now
Slide-out Cart	Item preview, quantity controls, subtotal, free shipping tracker
3-Step Checkout	Address → Payment → Review Order
Footer	Shop links, Help, Company, tagline

The store targets fashion shoppers in India — which is why you’ll notice the ₹ pricing in some screens and the Indian address format in the checkout flow. That was intentional from the planning stage.

And honestly? When you see it live, it doesn’t look like something an AI built in a few hours.

It looks like a real store.

But looks and function are two different things and that gap is exactly what this blog is about.

How I Planned the App Build

Here’s the truth about most people who try AI app builders.

They open the tool, type something like “build me an ecommerce store“ and wonder why what comes out looks generic, breaks halfway through or misses half the features they actually needed.

That’s not a Lovable problem. That’s a planning problem.

The quality of what you build is directly decided by the quality of how you think before you build.

I learned this on my first AI app build. So for Buy2Day, I did things differently.

I didn’t open Lovable first. I opened ChatGPT.

Not to generate the app. To plan it.

I’ve already documented this entire process in detail the research phase, how I picked the niche and how I generated the structured prompt in my previous build walkthrough:

🔗 Read the full planning process here → Emergent AI Tutorial: How I Build a SaaS App Using Emergent.sh (With Screenshots) 2026 (Same planning method, different app — the process works across any AI builder)

The process uses a structured prompt that makes ChatGPT act as a senior product manager + full-stack architect + QA reviewer all at once. It walks you through 17 questions, one by one:

• Who exactly is using this?
• What problem does it solve that existing tools don’t?
• What must be in v1 — and what can wait?
• What are the security and payment requirements?
• What design feel are you targeting?

By the time you answer all 17, you’re not guessing anymore. You have a specification.

Then ChatGPT takes every answer and generates one clean, ready-to-paste prompt built specifically for a vibe coding tool like Lovable.

This is what I pasted into Lovable. Not a vague idea. A structured specification.

And that one decision planning first, building second is the reason Buy2Day looks like a real store instead of an AI experiment.

Now let me show you why, after all that planning, Lovable was the tool I chose to build it with.

Why Lovable Was the Right Fit.

After the planning was done, I had one decision left.

Which tool do I actually build this in?

Because here’s the thing — there are a lot of AI app builders out there right now. And most of them will tell you they can build anything. So I didn’t just pick Lovable blindly. I looked at the alternatives first.

Tools I Considered Before Choosing Lovable

None of them hit the right balance for what I needed: full-stack output, fast, with minimal setup and real code underneath.

That’s where Lovable was different.

What “React + TypeScript + Tailwind + Lovable Cloud” Actually Means

(Don’t worry — this is not a coding lesson)

When Lovable built Buy2Day, it didn’t just generate some random frontend. It built the entire app on a professional, production-grade stack. Here’s what that means in plain English:

The Tech Stack, Explained Simply

Term	What It Actually Means
React	The same tech Facebook, Instagram, and Airbnb use for their UI. Fast, reliable, and widely supported.
TypeScript	A smarter version of JavaScript that catches errors before they happen — means fewer bugs in your app
Tailwind CSS	A styling system that makes the UI clean and responsive without writing CSS from scratch
Lovable Cloud	Lovable’s built-in backend — handles your database, user authentication, and data storage automatically. Zero setup required.

The point is simple , you’re not getting a toy app. You’re getting real, deployable code on a stack that professional developers actually use.

Lovable Asked Questions Before It Built Anything

This is the part that genuinely surprised me.

Most AI tools just start building the moment you paste a prompt. Lovable didn’t.

It paused. It read the spec. And then it came back with clarifying questions specifically around the backend setup and which database approach to use.

For a non-developer, this matters more than it sounds. Because those backend decisions how data is stored, how authentication works, how the database connects are exactly the things you don’t know to specify upfront.

Lovable caught that gap and filled it. That alone saved me from having to re-build core parts of the app later.

You Can Watch It Build in Real Time

Once Lovable started generating, the right panel came to life.

Every component it built the homepage, the product grid, the cart appeared live as it was writing the code. You could see the store taking shape in real time, right next to the chat.

This isn’t just satisfying to watch. It’s practically useful. You catch problems early. If something looks off, you can stop it mid-build and correct the prompt before it goes further.

Lovable vs Shopify vs Bubble — Quick Comparison

(For first-time builders who want to know which tool fits them)

Parameter	Lovable	Shopify	Bubble
Setup time	Minutes	1–2 hours	Days
Coding required	None	None	None
Custom design	✅ Full control	⚠️ Template-limited	✅ Full control
Ecommerce built-in	⚠️ You build it	✅ Yes	⚠️ You build it
Payment integration	Manual (Razorpay/Stripe)	Built-in	Manual
Monthly cost	Lovable plan only	$29–$299/month	Free–$29+/month
Best for	Custom app builders	Standard online stores	Complex web apps
Learning curve	Low	Low	High

The honest summary: If you want a standard store fast → Shopify wins. If you want to build something fully custom, own the code and not pay per-feature forever → Lovable is the right call.

For Buy2Day, the choice was clear.

Now let me show you exactly how the build actually happened section by section, screenshot by screenshot.

How the App Was Built

This is the section you actually came for.

Not the theory. Not the comparisons. The real thing what I typed, what Lovable built, and what it looked like at every stage.

I’m going to walk you through each part of Buy2Day exactly as it was built. No skipping the ugly parts.

Setting Up the Product Catalog

The first prompt I pasted was the full structured spec from ChatGPT , the one we covered in Section 03.

Lovable read it, asked its clarifying questions, and then started building.

Within minutes, the homepage was live in the preview panel. The structure, the navigation, the category grid, the product cards , all of it generated from a single prompt.

Here’s what came out of that one prompt:

What Lovable Generated From One Prompt

✅ A hero section with headline, subtext, and two CTA buttons — Shop Women and Shop Men

✅ A promo banner — “Free shipping on orders above ₹999 | Use code FIRST10 FOR 10% OFF”

✅ A Shop by Category grid — Women, Men, Accessories, Footwear, New Arrivals, Sale — each with a real lifestyle image

✅ A Trending Now product grid — product cards with original price, sale price, and discount badge (-38%, -39%, -33%)

✅ Trust badges — Free Shipping, Secure Checkout, Easy Returns, Premium Quality

✅ A full footer with Shop, Help, and Company links

The one thing I had to re-prompt: the product images were placeholders initially. I had to specify image layout and aspect ratio explicitly in a follow-up prompt before the grid looked polished.

Lesson: Lovable nails structure on the first pass. Visual precision sometimes needs a second prompt.

Building the Cart and Checkout Flow

This is where most AI-built ecommerce stores fall apart.

Cart logic is tricky quantity updates, item removal, subtotal recalculation, free shipping thresholds. A lot of tools generate the UI but break the logic underneath.

Here’s what I got.

The slide-out cart worked cleanly on the first build:

Cart Features Lovable Built

Feature	Status
Slide-out panel — doesn’t leave the page	✅ Working
Product image + name + price in cart	✅ Working
Quantity increase / decrease buttons	✅ Working
Item removal	✅ Working
Subtotal calculation	✅ Working
Free shipping progress tracker	✅ Working
Checkout button → moves to checkout	✅ Working

From the cart, clicking Checkout opened the 3-step checkout flow.

The step indicator at the top rendered exactly as specified. Each step was a clean, minimal form. No clutter. No confusion.

The address form had every field an Indian ecommerce checkout needs ;

Name, Email, Phone, Full Address, City, State, Pincode.

This part worked better than I expected on the first pass. The flow felt natural — something you'd see on a real D2C brand's store.

Integrating Razorpay Payments

This is the part where things got honest.

After the address step, the checkout flow moves to Step 2: Payment. I had specified Razorpay in the planning prompt , it’s the standard payment gateway for Indian ecommerce stores.

Here’s what Lovable delivered.

What I Asked For vs What I Got

Parameter	Detail
What I specified	Razorpay integration — card, UPI, and net banking
What Lovable built	A placeholder — “Razorpay integration coming soon. Orders placed as Cash on Delivery for now.”
Why it happened	Razorpay requires live API keys, webhook setup, and backend order-creation logic — Lovable built the UI shell but couldn’t complete the integration without real credentials
What it took to fix	Multiple follow-up prompts + manual Razorpay API key setup outside Lovable

This is the honest answer to the question your title asks — and we’ll go even deeper on this in the “Where Lovable AI Struggled” section coming up.

The takeaway: Lovable scaffolds the payment UI. The actual gateway integration needs more work — either through careful follow-up prompts with your API credentials ready, or manual setup post-build.

Order Confirmation and Basic Order Tracking

After the payment step comes Step 3: Review Order.

The review page showed everything cleanly:

What the Review Order Page Shows

✅ Full order summary — items, quantities, prices

✅ Delivery address confirmation

✅ Selected payment method

✅ Final total with shipping calculation

✅ Place Order button — prominent, clear CTA

It looks like a real store. It functions like a real store.

Ecommerce Features Covered

Before we get into what broke , let me give you a clear picture of everything Buy2Day actually has.

Category	Feature	Details

🛍️ Storefront

Banner & Nav

Sticky promo, categories, search, account, cart

📦 Catalog

Products

Categories, cards (price + discount), trending, new, sale

🛒 Cart

Cart System

Slide-out, item preview, qty control, remove, subtotal, free shipping bar

💳 Checkout

Checkout Flow

Address → Payment (Razorpay + COD) → Review → Order

⚙️ Backend

System

Auto backend, order logging, trust badges, mobile responsive

But not everything went smoothly. And the next section is the one you actually came here for.

Where Lovable AI Struggled

I’m not going to soften this section.

The whole point of this blog is to show you what actually happens when you push the Lovable AI app builder to build a full ecommerce store. Not just the wins. The real friction.

Here are every place it broke, stalled, or needed more work than expected.

01 — Payment Integration Didn’t Work Out of the Box

This is the biggest one.

I specified Razorpay clearly in the planning prompt. Lovable acknowledged it. Built the checkout UI around it. And then delivered this:

⚠️ What happened ?

Lovable built the payment UI shell but couldn’t complete the Razorpay integration without live API keys, webhook configuration and backend order-creation logic.
What it took: Multiple targeted follow-up prompts + manual API key setup outside Lovable.
Time cost: This added significant extra time to what should have been a one-prompt feature.

If your ecommerce store needs live payment processing from day one — plan for this specifically. Have your Razorpay or Stripe API keys ready before you start building. Don’t assume Lovable will handle it in one pass.

02 — Prompt Precision Requires More Than You’d Expect

The product images on the first pass were placeholders. Generic boxes. No real images.

The category grid structure was right. The layout was right. But the visual output needed a second — sometimes third — prompt just to get image sizing and aspect ratios correct.

Lesson: Lovable nails structure fast. But visual precision ; padding, image sizing, spacing — needs follow-up. Budget 20–30% extra prompts just for visual polish.

03 — Address Display Bug on Review Page

The 3-step checkout worked well overall. But on the final Review Order page, the delivery address had a formatting issue — all the address fields were rendering as a single unbroken line.

It’s a small bug. But it’s the kind of thing a real customer would notice. And it needed a targeted fix prompt to resolve — Lovable didn’t catch it on its own.

04 — Complex Logic Sometimes Needs Multiple Passes

Some of the ecommerce logic — quantity edge cases in the cart, order status updates, handling failed payment states — didn’t work perfectly on the first build.

Where Multi-Pass Prompting Was Needed

🔁 Cart quantity edge case — going below 1 didn't auto-remove the item on first build
🔁 Shipping calculation — didn't update dynamically when cart total crossed the $999 threshold initially
🔁 Order status — confirmed state needed an extra prompt to display correctly post-placement
🔁 Mobile layout — two sections had overlapping elements on mobile that needed a specific fix prompt

None of these were dealbreakers. But they add up. And they’re worth knowing before you start.

05 — Credit Consumption Is Real

Every prompt costs credits. And ecommerce is a complex build.

The product catalog section was relatively efficient. But the checkout flow, the payment section, and the bug fixes consumed far more credits than a simple landing page or portfolio site would.

💡 Rough guide for ecommerce builds on Lovable:

Simple landing page = low credit use
Ecommerce homepage + catalog = moderate
Full checkout flow + payment integration = high
Bug fixing passes = additional on top
Recommendation: Start on a plan that gives you enough room to iterate.
Don't try to build a full ecommerce store on minimum credits.

The honest summary: Lovable is genuinely impressive for what it produces. But ecommerce is not a simple build and the tool will show you its limits specifically around payment integrations, visual precision, and complex logic. Go in with that expectation and you’ll be fine.

Key Lessons From the Build

If I had to hand someone starting this exact project today a set of rules to follow — here’s what I’d tell them.

Final Verdict

Lovable built a real ecommerce store. In hours. From prompts.

It’s not perfect ; the payment integration needed extra work, a few bugs needed chasing and visual polish took more passes than expected.

But here’s what matters: the store exists. It looks premium. It works.

A developer would’ve charged $500 and six weeks for the same result.

The tool has limits. Every tool does. The question is whether those limits stop you and with Lovable, they didn’t stop me.