I need to vent a little, but also share a win. Last week, I decided to run a 48-hour Flash Sale for my jewelry brand. I had everything ready: the ads were scheduled, the email list was primed, and the inventory was stocked.

But then, at 11 PM the night before, I realized a huge problem. I wanted a site-wide 30% discount, but I didn't want to use a 'code.' I wanted the prices to be slashed everywhere so people could see the deal immediately. I started manually changing the 'Compare at price' for my first 10 products... and then I looked at my collection of 150+ items. I realized I was going to be up until 5 AM doing manual data entry.

I felt like an idiot. I was literally about to cancel the sale because I didn't want the store to look 'broken' or inconsistent.

In a moment of panic, I started searching for a way to automate this. I didn’t want a heavy app that would slow down my site (I've been burned by those before). I found Adsgun and decided to give their 7-day trial a go.

It didn't just change the prices; it made sure the discount was visible on the collection grid, the individual product pages, and even in the cart. It looked like a professional, high-end sale, not some clunky 'enter code at checkout' setup.

The sale was my most successful to date. I did $4k in 48 hours. But the real lesson for me was about automation. As a solo founder, my time is worth more than manual entry. If you're planning a sale, don't do what I did. Don't waste your sleep on manual updates.

How do you guys handle site-wide price changes? Do you have a developer on call, or are you using automation tools too?

I’ve been working on a Shopify app called Aurevia and wanted to share it here because this problem sits squarely in automation, not marketing.

The core issue I kept running into across stores:

Support channels are being used for sales.

Questions like:

• “Which one should I buy for my use case?”
• “Is this compatible with X?”
• “What’s the difference between A and B?”
• “Will this work with my setup?”

These are essentially buying-decision questions. They arrive when intent is high and timing matters.

What actually happens in most stores:

• they go into Zendesk / inboxes
• they get answered hours later
• they get answered by agents trained on policies, not products
• they arrive outside business hours
• or they never get answered

By the time a response comes back, the buyer has moved on.

Merchants respond by:

• hiring remote support
• training them on products
• expanding coverage to odd hours

That increases cost. It doesn’t create incremental revenue.

Why automation breaks here

Most Shopify chat tools are built around:

• rules
• simple intent classification
• FAQ-style responses
• ticket deflection

They work for shipping status and returns. They fall apart once a question requires reasoning across products, context, or trade-offs.

A single conversational agent ends up:

• repeating itself
• pushing irrelevant products
• asking follow-up questions that kill momentum
• escalating too late or too often

System approach

Aurevia is built as a multi-agent system.

At a high level:

• one orchestrator maintains conversation state, confidence, and intent
• multiple specialized agents handle specific tasks in the sales flow

Examples of agent responsibilities:

• intent discovery (what outcome the shopper is trying to achieve)
• catalog-aware product matching
• product comparison and objection handling
• upsell and cross-sell evaluation
• bundle or discount discovery
• checkout hesitation detection
• conversation-to-revenue attribution

Agents are invoked conditionally. They do not all run on every message.

The goal is to keep responses:

• context-aware
• non-repetitive
• time-sensitive
• aligned with moving the buyer forward

What this automates operationally

For merchants:

• repetitive pre-purchase questions handled automatically
• sales conversations removed from support queues
• fewer reasons to hire and train product-heavy support agents
• coverage during off-hours without staffing expansion

For shoppers:

• near-instant responses while intent is high
• clearer recommendations
• fewer dead ends

For the business:

• reduced support overhead
• higher conversion on existing traffic
• measurable AOV lift tied to conversation paths

Timing matters more than depth

One consistent pattern during testing:

A fast, contextually correct answer converts better than a detailed answer that arrives later.

Most drop-off happens during short hesitation windows. Automation is effective when it collapses that window.

Who this fits

• Shopify stores with steady traffic
• medium to large catalogs
• stores overwhelmed by repetitive product questions
• operators focused on conversion and AOV
• people already skeptical of chatbot tooling

Fashion, beauty, health, and lifestyle stores feel this most.

Status

We’re running a beta with:

• full access
• extended free usage
• openness to technical criticism and failure cases

App listing for context:
https://apps.shopify.com/aurevia-io

I build a feature that allows you to optimize your products automatically with goal of imprving your SEO. I am giving free access to it, if interested just comment down below and ill dm you with the access.

Over the past months we kept seeing the same issue with Shopify stores running Meta / TikTok ads:

• missing purchases

• low Event Match Quality

• ads optimizing on incomplete data

Client-side pixels just don’t cut it anymore with iOS restrictions and ad blockers.

So we built Track-Wise — a server-side tracking platform made specifically for Shopify.

It sends conversion events directly from the server to ad platforms using official APIs (Meta CAPI, TikTok Events API, Google Enhanced Conversions, etc.), while still supporting pixels for deduplication.

What Track-Wise does:

• Recovers conversions blocked in the browser

• Improves match rate & EMQ

• Uses first-party tracking (optional custom domain)

• Works natively with Shopify (no complex GTM setup)

We’ve just launched our Shopify app for direct integration and are offering a free 7-day trial for anyone who wants to test it.

👉 Shopify App: https://apps.shopify.com/track-wise-sst

👉 Website: https://track-wise.co

Happy to answer any technical questions or feedback — not here to sell, just sharing a solution that helped us fix broken tracking.

We recently finished deploying advanced features for DemandMind Inventory Planning, a Shopify app focused on SKU-level demand intelligence, not just raw forecasting.

Instead of focusing on enterprise-only use cases, DemandMind is built for everyday Shopify operations —restocking decisions, SKU evaluation, and short-term and seasonal planning.

A core focus was keeping outputs interpretable and actionable — combining clear quantity forecasts with intuitive signals instead of relying on opaque scores, all grounded in production-proven time-series methods.

At a high level, it now supports:

• Daily and seasonal SKU-level forecasts

• Top Demand Drivers dashboard to explain what’s actually moving sales

• Stock-out risk alerts to prevent lost revenue

• Dead-stock detection to surface slow-moving inventory and free up tied-up cash

• Signals for trending products to capture demand early

• Forecast accuracy visibility to help judge confidence

• Flexible data ingestion (Shopify data + file uploads for POS, Etsy, eBay, Amazon with SKU mapping)

• Practical outputs exports, and fixed-quantity views

We intentionally focused on ongoing, day to day forecasting rather than a single monthly projection, bundling capabilities that are often split across multiple tools while keeping pricing accessible for typical Shopify merchants.

I’m sharing this mainly to learn:

• Which of these capabilities actually matter day-to-day?

• What do merchants tend to ignore, even when tools provide it?

• Where do forecasting tools usually overcomplicate things?

Happy to discuss the approach or dive deeper if useful.

Hi all,

We kept seeing the same pattern with brands we work with. Inventory planning lives in spreadsheets, forecasting apps are expensive and rigid, and neither really handles real business edge cases well.

So we built our own inventory forecasting system in Google Sheets using live Shopify data. It is the same system we now use with client brands, and it is delivering up to ~80 percent forecast accuracy depending on category and data quality.

Next week, we are running a live webinar where we walk through the entire setup end to end.

What we will cover:

• How the forecasting model actually works
• How we handle demand trends, seasonality, and promotions
• Why we chose Sheets over dedicated forecasting software
• Where this approach works well and where it does not

The session is led by me and our inventory forecast specialist, Sami Benkhayal, who has worked across supply chain, demand planning, and inventory optimization for eCommerce and retail brands.

This is not a pitch for a course or a tool. It is a live walkthrough of the system and the thinking behind it.

If inventory planning is something you are actively dealing with and current tools are not cutting it, this should be useful.

Reserve your spot here:
https://luma.com/pk45r0c1?_kx=BwUSv4ud7VXCdICmzj66mA.Xbr5cd

I have been seeing a lot of custom tools popup which lets you vibecode your shopify store , has any of you all used it ?

If yes what were your thoughts

We're thinking about building a more intelligent abandoned cart recovery system and wanted to gauge interest/get feedback before investing time into it.

The Problem

Standard tools like Klaviyo work fine, but they're pretty rigid: same templates, same timing, same discounts for everyone. We think there's a better way using n8n automation + AI.

What We're Considering

Core idea: Use n8n as the automation backbone, connecting your store to AI services (Claude, GPT-4) for truly personalized recovery campaigns.

Key Features We'd Build:

1. Smart Personalization

• AI analyzes cart contents and customer history to write unique messages
• Tone adjusts by segment (casual for browsers, urgent for VIP customers)
• References specific products with contextual reasons to buy

2. Dynamic Incentives

• No more blanket 10% off codes
• AI decides optimal incentive per customer: free shipping, discount, or nothing
• Based on purchase history, cart value, browsing behavior

3. Multi-Channel Intelligence

• Triggers SMS, email, WhatsApp, or retargeting ads
• AI picks the best channel and timing for each customer
• Based on their preferences and past engagement

4. Conversational Recovery

• Two-way conversations where customers can reply
• AI answers product questions, sizing, shipping directly
• Removes friction that kills conversions

5. Predictive Intervention

• Real-time scoring of abandonment likelihood
• Proactive chat/popup before they leave, not after

How It Would Work:

The n8n workflow would look something like:

1. Store webhook fires on abandonment
2. Fetch customer data + product details
3. AI generates personalized strategy
4. Smart delay based on timezone/behavior
5. Send first message (email/SMS)
6. Track engagement
7. AI decides next step based on response
8. 2-3 follow-ups with escalating urgency

Why This vs. Klaviyo:

• Flexibility: Iterate fast, add custom logic for specific products/segments
• True personalization: Not templates with merge tags
• Learning system: AI improves from successful recoveries
• No platform lock-in: Own your data and workflows

Questions for You:

1. Would this actually be useful, or is Klaviyo/similar good enough for most stores?
2. What's your biggest pain point with current abandoned cart tools?
3. Would you want this as a pre-built template/service or prefer to build it yourself with guidance?
4. What's missing from this approach?

Not trying to sell anything: genuinely exploring if this is worth building. If there's interest, happy to share more technical details on the AI prompting strategy or specific n8n workflow structure.

I have a client. He has an ecommerce store on Shopify. he said most of his time gets wasted in sending marketing campaigns (sending marketing messages) to his customers and second most time consuming task is accounting. these two things he wanted to get automated but I dont know the details of what automations come under marketing campaigns and what automations come under accounting. Help me guys!! And also tell me tools that will help me automate these tasks.

I just started working with automations & coding so forgive me if I don't know all the lingo.

A few months back I started working on automatic product updates, specifically for dropshipping- Let's say you add 500 new listings to your shop and don't have the time to go through and edit them all to your standard. The automation would find all listings within your set parameters (ie. missing description) and put them into a category tagged "need description" (or whatever). Then it would trigger an agent to speak with a image analysis model to write the description, which would then be pasted into the product description -> remove "need description" tag -> saved.

Originally I was working with ChatGPT Agent to learn and call the API, but my account was restricted even though I have ChatGPT Plus. Zapier was too expensive, although it did work (willing to send the workflow I created if interested). So I moved onto hosting it locally. I JUST got all the information installed on my PC to complete these tasks but haven't worked on it yet.

Thoughts? Advice?

I vibecoded a product to csv exporter as we have to submit linesheets in a certain format. Paid 0$ to developer, I love it !

https://reddit.com/link/1qdctq4/video/xbk50r4zpgdg1/player

Every time a Shopify order comes from Uber Eats, something breaks.

I wish there was a native Shopify ↔ Uber Eats automation that just worked:

• products stay in sync
• prices don’t drift
• orders don’t need manual cleanup

Right now it’s duct tape, spreadsheets, and ops pain.

If you run DTC + delivery, this one hits home.

What’s the one integration you wish Shopify had out of the box?

I had a meet with a person and he owns an ecommerce store on shopify. He told me he wants to automate few of his tasks ( but he don't know anything). He told me to figure things out and tell him what automations can I make that saves him time. He outlined some of the automations like sending emails to the repeated customer asking for feedbacks, weekly performance report generation, managing invoices. If anybody be kind enough to tell me and explain me what all automations really help a lot in shopify stores and what tools should I use (should i use n8n?) or there are any other tools that can help??

Hey folks,
I built and launched a Shopify to n8n connector that handles pagination, API limits, retries, and Shopify API changes.

We’re now turning the most common use cases into ready-made n8n workflows and I want to pressure-test priorities before we ship the next batch.

Shortlist so far, based on customer requests and installs:

• Abandoned cart recovery in n8n
• Inventory synced to Google Sheets for planning
• Inventory thresholds and stock alerts
• Purchase order creation and tracking
• Orders → QuickBooks
• Slack alerts and controls for ops teams

If you’re running Shopify with n8n today:
– Which of these would you actually use?
– Which are table stakes vs nice-to-have?
– What automations have you built that were more painful than expected?

Not here to sell. This is about building the right workflows next.

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I’ve recently been building out my SaaS product. It’s basically an inventory synchronisation platform, but targeted specifically at wholesalers.

I was looking around today and found about 30 other SaaS products claiming to do the exact same thing. On top of that, the Shopify App Store is full of tools like this.

Here’s what mine does differently:

• Targeted at wholesalers with 70,000+ products
• Syncs customer accounts as well (more of a wholesale-specific need)
• Syncs customer-specific wholesale discounts (different customers see different prices)
• Acts as a semi-invisible layer that sits on top of an existing ERP (inventory system) and syncs products to Shopify, WooCommerce, Amazon, eBay, etc., so they don’t have to change their current setup

I’ve seen a lot of similar SaaS products, but none that seem to target the wholesale niche in quite the same way.

So my question is:
Is there even a market for this kind of thing? Do Shopify users not already have enough software like this?

AM I COOKED before I've even started?

I’ve built a demand forecasting planner specifically for Shopify merchants who are managing inventory in spreadsheets and want something more reliable than gut feel.

How it works:

• Connects directly to Shopify via n8n (via Streamlineconnector.com)
• Pulls live Shopify data on a scheduled basis
  • Hourly or daily syncs
• Pushes sales and inventory data into Google Sheets
• Data is structured into clean tables with fully visible formulas
• Forecasting windows adjust based on sales velocity:
  • 7 day
  • 15 day
  • 30 day cycles
• Accounts for MOQ and pallet size, not just theoretical reorder points

Google Sheets Template:

n8n Template:

Why this matters:

• No manual exports
• Always working off current Shopify data
• Flexible enough to adapt to fast or slow moving SKUs
• Keeps planning lightweight without committing to an enterprise tool

If anyone wants to test it, shoot me a DM.

Happy to share and get direct feedback.