Ecommerce Growth

12 Tasks eCommerce Founders Should Delegate to AI

June 16, 2025

12 Tasks eCommerce Founders Should Delegate to AI

Every hour you spend on product blurbs, tracking returns, or fixing your PDP layout manually is an hour NOT spent growing your revenue.

You may think, “I’ll do it faster myself.” But what if AI could do it *faster, smarter, and at scale*?

In this guide, we break down 12 eCommerce tasks that you should stop doing manually — and hand over to AI.

How to Know Which eCommerce Tasks AI Can Actually Handle?

Before handing a task over to AI, ask yourself:

- Is it something I do (or my team does) daily or weekly? (emails, updating product listings, etc.)

- Is it data-heavy, or does the type of data vary in terms of formats and lengths? (analyzing reviews, taxes, return claims)

- Can it be set to follow a particular pattern, or is independent thinking required? (helps you choose between AI agents or AI workflows)

Above all, would you pay someone else to do it?

Here are the tasks, we’ve seen most eCommerce founders pick:

A. Product & Storefront Tasks

1. Write product descriptions at scale

2. Update product listings (titles, images, background cleanup)

3. Brainstorm product ideas, generate mockups

4. Conduct competitor research

B. eCommerce Marketing Tasks

5. Pick & Research Trends

6. Generate ad creatives, captions, copy

7. Create podcasts, product demo scripts, avatars

C. eCommerce Operations & Strategy Tasks

8. Write legal + policy docs (returns, privacy, shipping)

9. Handle taxes, returns, and finance ops

10. Manage internal comms + task flows

11. Translate complex technical tasks for devs/agencies

12. Forecast demand and automate pricing

Remember: Nearly 78% of all organizations use AI in at least one function, according to McKinsey.

Types Of AIs To Use: Agentic AI vs. Generative AI vs. Workflow AI?

Generative AI (GenAI): Creates content (text, images, code) based on prompts

Examples: ChatGPT, Claude, Grok, Midjourney

Agentic AI: Takes multi-step actions on your behalf with minimal intervention

Examples: AutoGPT, Agentive AI, Manus, DoNotPay

Workflow AI: Executes actions on Gen AI and Agentic AI, based on a pre-set workflow

Examples: Zapier, n8n, Make, Pipedream

But you just need two things to start delegating tasks to AI:

– An Open AI API subscription (starts from about $8) – this will help you cover most image, video, and text-based tasks (can also act like an agentic AI)

– n8n/Make – use any one to create workflows, so that you can route tasks and results to respective APIs (so the AI can process the task by pre-set tasks/independently make decisions)

12 eCommerce Tasks You Must Delegate to AI — By Category

A. Product & Storefront Tasks

1. Write product descriptions at scale

Do you usually try to trim down a full three-pager manual into a product description? Well, no more.

Most Gen AIs in 2025 know what product descriptions look like on eCommerce websites. So, all you need to do is feed your gen AI of choice: what your product solves, keywords, buyer personas, and USPs.

Once trained, you can set up workflow automation to pull product descriptions from URLs and reformat them in a sheet for you to review.

Run this periodically on: Weekly drops / new SKU batches / seasonal rotations

Tools to try: Chat GPT with Make/n8n and your CMS’s API (like Shopify API), Claude, Shopify Magic, Originality AI (for plagiarism detection)

Here’s a product description generator for Shopify AI workflow on Make, you can try your hands on.

2. Update product listings

The biggest advantage AI gives you is: you can now match the visual aesthetics of the largest retail brands. That too, without hiring a full studio, crew, and models.

Some tasks to try out with AI:

Generate 360-degree shots when a particular product page gets a high bounce rate
Refresh product backgrounds in bulk whenever you run new promotions

For example, if you have a Father’s Day sale coming up, you can generate promo visuals from scratch using Canva’s AI: all you need is the product image and the offer.

Tools to try: Pixian, Canva AI, Smartly.io, Flair AI, Product Scope AI, Deepmotion, Dream Machine by Luma Labs

You’ll need: A workflow AI like N8N/Make to trigger refreshes when inventory updates or certain metrics fall below a certain benchmark

Here are two workflows on Make:

Also read: 52 Ways eCommerce Businesses Can Use ChatGPT

3. Brainstorm product ideas, generate mockups

Estee Lauder’s R&D and marketing teams now get results in minutes instead of hours by just using Open AI’s models, helping them improve response time by over 90%.

But, you don’t need the full bells and whistles, just yet. Test if people want the thing first, without actually fully developing the product.

AI can now generate full-blown visual prototypes, landing pages, and value props. You just need to stack the right prompts with the right tools.

Here’s how you run it:

Refine your initial product idea with Enzzo AI
Use Midjourney, DALL·E, or Flair AI to mock up visual variations (colorways, packaging, materials)
Ask ChatGPT to generate use cases and value props for 3 target personas
Run UGC-style ads with AI visuals: “Would you pay $49 for this if it solved [insert pain point]?”
Use IG polls and email waitlists to validate interest, or just use Midjourney mockups to hold Twitter polls and log data on Google Forms.
Test which mockup + message hits hardest
If there’s pull, use Sloyd to create 3D spins, unboxing views, and lifestyle renders on landing pages

Tools to try: Ideanote (research product ideas), Enzzo AI (refine product idea), Midjourney/DALL·E/Flair AI (full blown creative for product), Sloyd (3D render of product and 360 degree product shots)

You’ll also need to run tests on : Thumbnails, landing pages, copy, and CTAs

💡 Tip: 3D mockups work great for beauty, wellness, and home decor SKUs — faster than sampling, cheaper than photoshoots.

4. Conduct competitor research

Why check your competitor’s site manually when AI can Slack you the moment they change anything?

You can now track when competitors:

Drop new SKUs
Change pricing/bundling
Have new banners or PDP headlines go up
Run promos — and how long they run them

Tools to try: Hexowatch/Browse AI/SimilarWeb (monitor websites), Komo AI (use it to find competitors standard search engines don’t show)

Build with: Agentive AI + Webhooks, and then either keep track of data through Slack updates or build a full-blown Notion board.

B. Marketing Tasks

5. Pick & Research Trends

Most AI trend tools now track what people are searching, laughing at, or struggling with, across platforms. Just prompt your AI with your niche and goal.

Ask: “What’s rising in [sleep wellness] that’s relatable to Gen Z women?”

Then: Get 3 angles, 2 hooks, and 1 product tie-in.

For example: Sleep gummies + #deluluszn = a playful ‘dream delusions’ campaign

Tools to try: Komo AI (social + search trend detection), Exploding Topics, Glimpse (micro-trends), Perplexity (deep dive research), Hypeauditor (to find relevant influencers), Manus (research agentive AI)

💡 Tip: Set up a Make/Zapier/n8n workflow to drop trend prompts in Slack every Monday. Here’s one from n8n to scrape competitor Instagram content, regularly, and another from Make for TikTok competitors.

6. Generate ad creatives, captions, and copy

Your product already has dozens of angles. You can delegate AI to pick up angles from the best-performing ads of your competitors and repurpose them according to your brand guidelines.

Or, you can use AI to end creative blocks and actually scale your campaigns – here’s how:

CTR too low? Generate 10 new headline-image combos
Launching a promo? Generate 20 creatives in one go
UGC feeling stale? Auto-generate fresh formats that feel natural

You can also generate copy/image/video combos based on current promos, seasonal angles, or SKU performance.

Tools to try: Magic DX(ad intelligence), Pencil (predictive performance), AdCreative.ai (batch image creatives), CopyMonkey (Amazon-specific copy)

You’ll need: Meta’s Marketing API, + TikTok APIs for Business, + Google Sheets with n8n/Make/Zapier

💡 Tip: Once creatives for your entire campaign are generated, run your creatives and your landing pages through ChatGPT. Ask it to run a check if you’ve ad-landing page fit, with ideas on how to move shoppers down a funnel.

7. Create podcasts, product demo scripts, and avatars

Scripting, voiceovers, and video editing for every product launch eat up tens of hours and dent your budget.

AI can also help with that: think tools like Descript, Synthesia, or ElevenLabs to spin up lifelike avatars and voices in minutes. That too, without sounding fake.

You can now build:

Product walkthroughs in 60s with a full walkthrough of features, benefits, and outcomes
Founder POV story (“Why we built this”) with AI-cloned voice & b-roll
FAQ mini-episodes (“What happens if I cancel?” or “Does this work for kids?”)
Give a voice to reviews and shoot hooks for your ads

Tools to try: Google Veo 3 (lifelike videos), Notebook LLM (for scripting), Descript (screen + voice editing), Synthesia (AI avatars), ElevenLabs (hyperreal voiceovers), RunwayML (video enhancement), CreatorKit/MakeUGC (to create UGC videos of your customers)

💡 Tip: Repurpose each script into reels, TikTok voiceovers, podcast intro hooks, and help center clips. Here’s a n8n workflow that lets you generate consistent characters for your product images and ads

C. Operations & Strategy Tasks

8. Write legal + policy docs (returns, privacy, shipping)

You don’t need a lawyer on retainer. You need docs that actually protect— and convert.

However, AI can spin up GDPR‑compliant privacy policies in 5 minutes—but here’s how to make sure you’re not inviting fines:

Prompt: “Draft a privacy policy for a US/EU wellness brand, including cookie consent, data subject rights…”
Validate: Run through Termly’s compliance checker
Polish: Always get actual human to review against your existing T&Cs

Also, make sure you:

Cover regions with separate policies (US, UK, EU, APAC)
Cover unlikely scenarios: “What if the product is partially opened?”
Sync your general terms and conditions, shipping, and privacy policies

Tools to try: DoNotPay (contracts, policies), Termly (region-specific compliance), Spellbook (legal prompt companion for founders)

💡Tip: Compare your policy vs competitors' policy scope using AI. If yours is more flexible, that’s a CTA-worthy USP.

9. Handle taxes, returns, and finance ops

Miss a tax filing? That’s a fine.

Mess up product returns? That’s a churned customer.

Let AI do the grunt work instead. Here are some tasks you can delegate to AI:

Auto-categorize Shopify orders by SKU & channel (returns vs fullfills vs samples)
Prep quarterly filings with AI-generated summaries + send to your CA
Get AI to review the cause and proof for which the shopper initiates a return, and trigger return shipping labels (on Shipstation) and emails, once approved

Tools to try: Bench (human + AI bookkeeping), FlyFin (tax write-off scanner), Koinly (crypto + global tax reporting)
Stack with: GSheets for expense flags + Slack reminders via Zapier

💡 Tip: Create a Make/Zapier flow that tags high return rate SKUs → triggers ops review + auto-adjusts return window messaging.

10. Manage internal comms + task flows

Do you hold meetings that could have been emails? Well, AI can help with that. Be it summarizing vendor comparisons, or automating your full shipping tasks.

And we don’t mean using robots, you can use AI to:

– Shoot emails to respective stakeholders when an order/return is placed

– Auto assign followups based on subscriber and shopper engagement/review (basically track, “What’s blocked? What needs follow-up?”)

– Manage inventory for you, and generate reminders before you have think “did I have to order something"

‍Tools to try: Slack GPT (meeting recaps + promptable threads), Motion (auto-prioritizing schedules), ClickUp Brain (task auto-linking + context summaries)

💡 Tip: Assign urgency + risk rating to tasks via prompt (“What’s the risk of not doing this in 24 hours?”)

11. Translate complex developer tasks

Sure, you may have paid an agency to develop your store. But, who says you need to break out the bank, every time you wanna test a new feature?

After all, a “it’s just a small change” isn’t the same as “This will take two sprints and break three modules.”

Instead of you trying to figure it all out yourself, delegate AI to:

– Understand what your current components actually do (ExplainDev)

– Build lightweight, testable apps on subdomains using past code references (Replit + Cody AI)

– Build references that developers can actually understand (Framer’s great for this)

Tools to try: ExplainDev (reverse engineer tech), Cody AI (contextual coding agent), GitHub Copilot (autocomplete + cleanup)

💡 Tip: Use AI to test if an idea really needs dev time — or if it’s just a prompt + preview link away from being live.

12. Forecast demand and automate pricing

Instead of going through 100 competitor sites daily, you can have your own AI business intelligence task force.

With the right AI stack, you can predict when to restock (before customers hit “notify me”), adjust prices by promotions, current sales, and competitor price changes

Here are some AI task delegation ideas:

Feed your current sales velocity and your promo calendar into Inventoro to predict how you should adjust prices over the next 30 days
Set Blackcurve rules like: “If competitors go cheaper but we ship faster, hold price”
Use Prisync to monitor top 3 rivals’ pricing in real time — and act before they do

Tools to try: Blackcurve (automated pricing engine), Inventoro (forecasting + reordering), Prisync (competitor-based price adjustments)

Make sure you layer in: Google Trends + Email engagement data + internal product sales velocity dashboards

Or you can use n8n as well, here’s a workflow for price scraping.

Common AI Delegation Pitfalls To Avoid

❌ Mistake #1: Giving AI Vague Inputs

"Write me a product description" will give you results that every other user gets.

✅ Fix: Feed structured context, the more details, the better, but always include:

Who is this for?
What's the goal of this asset?
What brand voice or tone should it mirror?
What are the don’ts (exaggerations, words you never use, etc.)?

For example, if you want an awesome studio shot, here’s a prompt to try:

Subject + Action + Product
{Describe who/what, what they will do in the image, the key aesthetic of the product, how it’s being held}

Camera Angle, Point of View, lens, Flash or No Flash, Crop

{high-angle, top down view, 85mm prime, wide view, crop around the body}

Lighting, Color Grade, Backdrop

{fluorescent light, neon coloring/pantone, plush red backdrop}

‍Resolution, Realism, Photographic Style

{2K, hyper realistic, fashion magazine, film burn}

Skin texture, Makeup, Wardrobe, Atmosphere, Aspect ratio

{smooth skin, freckled cheeks, glossy red lips, minimal jewelry, light smoke, vertical, 9:16}

Here’s a prompt like this action, the first is from ChatGPT:

eCommerce task delegation to AI example: product image

And another from Gemini:

❌ Mistake #2: Assuming AI can work on autopilot

AI doesn’t replace your brain — it removes grunt work.

✅ Fix: Build a QA + feedback loop

Assign an owner for AI outputs (design, copy, data)
Rate each output (pass/fail/needs tweak)
Store top-performing prompts in a shared vault
Set a cadence to revisit and improve automation flows

💡 Tip: Use ChatGPT to critique its own work before publishing, but in a different conversation. Ask: “Review this email for clarity, CTA strength, and relevance to [segment]”

❌ Mistake #3: Not Assigning Ownership

If “AI did it” is the answer, then who’s responsible when it flops?

✅ Fix: Treat AI as a contributor, not a decision-maker

Every AI output still needs a human owner
Even if it’s 80% accurate, that 20% can tank results
Assign someone to vet, refine, and own outcomes

💡 Tip: Use ClickUp/Notion tags like: AI-generated ✅ | Reviewed ❌ | Owner: [name]. This way you actually have track of what's AI and not AI.

12 Tasks eCommerce Founders Should Delegate to AI

How to Know Which eCommerce Tasks AI Can Actually Handle?

Types Of AIs To Use: Agentic AI vs. Generative AI vs. Workflow AI?

12 eCommerce Tasks You Must Delegate to AI — By Category

A. Product & Storefront Tasks

1. Write product descriptions at scale

2. Update product listings

3. Brainstorm product ideas, generate mockups

4. Conduct competitor research

B. Marketing Tasks

5. Pick & Research Trends

6. Generate ad creatives, captions, and copy

7. Create podcasts, product demo scripts, and avatars

C. Operations & Strategy Tasks

8. Write legal + policy docs (returns, privacy, shipping)

9. Handle taxes, returns, and finance ops

10. Manage internal comms + task flows

11. Translate complex developer tasks

12. Forecast demand and automate pricing

Common AI Delegation Pitfalls To Avoid

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