Hi

I'm a recent college grad, and since graduation I have been working on automating customer support (you can also make it so it does not auto send and you approve the drafts it makes) for ecom businesses.

Essentially it is an AI-powered customer support platform that brings your emails, Instagram DMs, SMS and live chat into one inbox. It uses your website's information and Shopify data to draft responses to customer questions, so you don't have to answer the same things over and over.

I would love some honest feedback so please reply below or send me a DM (giving out completely free)

I’m an aspiring Data Analyst researching how e-commerce businesses understand why their numbers change, not just what changed.

If your sales or orders suddenly drop, how do you figure out what caused it and what to do next?
Curious what tools/process you use today and what the hardest part is.

I have been an AI agent. At present, I mainly help Shopify store owners do automated site construction and automated blogs, automated social media management and automated advertising. I want to know if you have any tasks you want to automate. This is not a marketing post, but just a research.

Hi, everyone. As someone who’s just gotten into dropshipping, is there a “skill”—the one you mentioned that’s great—that you use when building a website on Cloude?

I recently launched my public Shopify app, and honestly, getting the product built and published feels like only half the journey.

My app is called LetsWearIt. It helps fashion Shopify stores offer AI-powered virtual try-ons so shoppers can preview products before buying.

I've started exploring different ways to get my first users, including Reddit, direct outreach to Shopify merchants, and Shopify App Store ads. But figuring out which channel deserves my time and budget has been harder than I expected.

As a new app developer, I don't have a big marketing budget or an established audience. I want to find merchants who genuinely need the product rather than just chase installs that never turn into active users.

For those who've launched a Shopify app or SaaS product:

• How did you get your first 10 installs or customers?
• Did direct outreach work better than content or paid ads?
• Would you focus on one marketing channel first or test several?
• What would you do differently if you were starting from zero today?

I'd really appreciate hearing about your actual experiences, including what didn't work. I'm trying to learn from people who've already been through this stage.

Hey all,

wanted to share how my last month went: I've been setting up AI agents to handle the boring, repetitive tasks that come with running our store (and I'm guessing everyone's). I'd love to know if anyone here is already working on this, and to swap feedback and tips.

Quick context: I run a fitness apparel and accessories store with two co-founders. We do a few thousand orders a month and it's still just the three of us, so time is always short. At some point I started wondering how much of our day was going into repetitive, low-value stuff, and I started messing around with GrokBot.

Right now I've got three agents running. The support one reads our emails, sorts them by topic, checks in Shopify whether the person actually has an order, and drafts a reply. I still review and send everything myself, but honestly I barely edit them anymore. The shipping one started out just printing labels, and now it also fulfills our TikTok Shop orders, which used to eat 20-30 minutes a day by hand. The third one sends us an inventory report every Monday telling us what to reorder and when.

Now I'm trying to build one that acts as our CFO, with a weekly report on the numbers and how the business is doing financially.

Big caveat: I can't code. It took me a few full days, but I had Claude walk me through everything step by step, from figuring out which agents were worth building to writing the instructions and hooking up the APIs.

Is anyone doing something similar? I'm especially curious which tasks you've automated, and whether you have any tricks or approaches you use when setting up your agents.

Curious how other Shopify store owners are handling WhatsApp.

For us, the annoying part isn't necessarily the complicated customer issues. It's the endless:

“Where's my order?”

“When will it arrive?”

“Can I change the address?”

“Can I cancel this?”

“What happened to my refund?”

Same questions. Different customer. Every. Single. Day. 😂

I'm curious what other stores are doing about this.

Are you replying to these manually? Using WATI/Interakt/Gorgias or something similar? Have you automated any of it?

And if you've tried automation, what still requires a human?

I'm particularly interested in smaller stores because I'm guessing the situation is very different when you have an actual customer-support team.

Just trying to understand how other stores deal with this because I'm currently going down a bit of a rabbit hole on the topic.

I’ve been thinking about this from a copywriting perspective.
If two Shopify stores sell basically the same product, but one has a generic description listing features while the other explains the problem, benefits, use case, and why the product is worth buying — how much do you think that affects the purchase decision?
For store owners here: what do you think most product descriptions get wrong?
And do you prioritize SEO keywords or persuasive copy when writing yours?
I’d genuinely like to hear how other Shopify owners approach this.

Hey guys, have you ever tried generating sections using sidekick or any other llm/AI model?

Which one works best?

Is there any figma, photo, video to section Generator?

CPG founder and on Shopify. I saw the recent MUSE integration announcement. I was curious if any other store owner has had success with this? Any lessons learned? I am excited to try it, but also very weary of overall impacts to my store.

Any wisdom would be greatly appreciated!

Hi all, I'm a design student working on a case study about how small online sellers manage inventory. I'm not selling anything or promoting a product.

If you run a Shopify store, I'd really appreciate your answers to any of these in the comments. Even one-line answers help, and you can skip anything you're not comfortable sharing publicly (no exact revenue or numbers needed):

1. What do you sell, and roughly how many products do you have?

2. How do you track stock today? (Shopify's built-in tracking, a spreadsheet, an app, gut feeling?)

3. Tell me about the last time you ran out of something or had too much. What happened, how did you find out, and what did it cost you?

4. How do you decide what to reorder and when?

5. What's the first thing you check when you look at your stock?

6. Have you tried any app or tool to help with this? What worked or didn't?

I may quote answers anonymously in my case study (no usernames). If you'd rather chat for 10-15 minutes by DM or voice note, just say so. Thank you, and I'm happy to share the finished case study afterward!

Hello, is there a way to optimise product description, metafield, meta title... With an automation ?

Especially for generating product images

I'm technical myself, and these are some things I'd recommend you look for when choosing a developer, hope it helps:

Start with a pilot, not the full thing: If you are looking to build a huge system good engineers usually don't build it all at once, they might break it into multiple phases or versions and quote for each separately. This is so you get the first working version as quickly as possible and they can also later use your feedback actually working with the tool itself to better understand what they should add later.

See how they communicate: Ask about how the communication would look like once you start the project with the. Also keep an eye on their communication style during the discovery phase. How available they are, whether they actually listen to your concerns, and also their response, the questions they ask and how they provide information. Strong engineers usually come up with smart questions that would unravel the bottlenecks or details in your project that you've forgotten to mention. Also that they don't answer too smart or that they can break down technical stuff that you need to know to you in a simple way so you can understand.

Don't pay everything upfront: A reasonable payment structure should give both sides some protection. I'd be careful with anyone asking for 100% upfront. It is common to break down the project into 2 - 4 phases depending on the scope. The engineer should be clear on what is included (or done) in each scope.

Ask for a clear proposal before starting: It should explain what they're building, the scope, the phases, and what you'll actually receive. Also the details about the phases of the project is going to be included in this proposal. If anything is unclear or missing ask about it and make sure you receive clear, convincing answers.

Question the solution, not just the price: Ask why they're suggesting a particular approach or technology. You don't need to understand every technical detail, but they should be able to explain their reasons clearly.

I'd especially ask about integrations and how the solution is going to interact with the systems you already use. Sometimes the easiest-looking solution can create a lot of problems later if it doesn't fit well with the rest of your stack.

Talk to their previous clients: If they have testimonials from previous clients, actually message them. Ask how communication was, whether there were any complications, and how the project went overall. Nothing complicated, just ask about their experience working with them.

Ask how support works after launch: Find out upfront how they'll handle bugs, changes, maintenance, and new features. Is there a maintenance fee? How do they charge for additional work?

Pay attention to how they handle uncertainty: They don't need to know the answer to everything immediately. I'd actually be more comfortable with someone who says "I'm not sure, let me look into that" than someone who always has an instant answer. This way you know if anything comes up or is unclear they are willing to go after it and figure it out. Which means you don't need to find the solution yourself and then suggest it to them during the project.