By job · 9 posts
Inquiries, support & follow-ups
FAQ auto-replies, WhatsApp, inquiry triage and outreach: what AI can handle and what must go to a person.
Most small-store support inboxes fill with the same few questions: where's my order, can I return this, what size should I get. AI handles that repetition well, provided you write your real policies into one reference doc first and tell it to answer only from that.
Keep a person approving drafts, especially on WhatsApp, where a wrong answer lands harder than in email. Upset customers, orders gone wrong and anything the doc doesn't cover go straight to a human. The same draft-then-approve rule applies to supplier replies, where prices and payment terms are at stake.
Playbooks
5 posts- 8 minPlaybooks
How to Auto-Reply to Store FAQs with AI on Your Independent Store
From building an FAQ knowledge base and making AI answer only from it, to deciding what must always go to a person: a practical way to automate support on an independent store.

- 9 minPlaybooks
How to Auto-Reply to B2B Sales Enquiries with AI
From sorting incoming enquiries and having AI draft replies to a salesperson approving and sending them: how to build an enquiry automation pipeline for an export business, step by step.

- 7 minPlaybooks
Automating WhatsApp Business Support with AI for Cross-Border Sellers
For sellers reaching Latin America, Southeast Asia, or the Middle East, most day-to-day customer conversation happens on WhatsApp, not email. The same knowledge-base-first automation idea applies, but WhatsApp's own rules change the playbook.

- 8 minPlaybooks
AI-Assisted Supplier Outreach: A Workflow for Small Importers
A small importer's playbook for using AI to draft, translate, and track supplier outreach, and where automation should stop and a human should take over.

- 8 minPlaybooks
How Small Shopify Teams Automate Customer Support with AI (Without Losing the Personal Touch)
A practical sequence for a 1-3 person Shopify team: build a real reference doc first, draft replies with AI, then draw a hard line for what always goes to a human.

Comparisons
4 posts- 10 minTool comparisons
ChatGPT vs Claude for B2B Trade Emails and Inquiry Replies
No specs or benchmark scores: just how ChatGPT and Claude actually differ in use for one specific job, writing B2B cold outreach emails and replying to trade inquiries.

- 6 minTool comparisons
Gorgias vs Tidio: Which Support Tool Fits Your Shopify Store
Compared across four axes that actually change daily work (order actions, ticketing, website chat, and AI answers), plus a one-week trial plan for a Shopify store.

- 10 minTool comparisons
Notion vs a Spreadsheet for Supplier and Customer Follow-Ups
A practical look at when a plain spreadsheet is still the better call, and when Notion's extra structure actually earns its keep for a small team.

- 8 minTool comparisons
ChatGPT vs Claude for Ecommerce Customer Support Replies
A hands-on comparison for one specific job (drafting customer support replies from a policy doc), not a benchmark, and not a verdict that carries over to every use case.

Common questions
How do I stop AI from inventing return policies in support replies?
Write your shipping timelines, return rules and size chart into one shared doc before AI touches a customer message. Instruct the model to answer only from that doc and to say "let me check with the team" for anything missing. While you are starting out, have a person check every draft before it goes to the customer. Read more →
Is Gorgias or Tidio better for a Shopify store?
If most of your volume is post-purchase and agents constantly need order lookups and refunds, start with Gorgias, which lets agents see orders and refund or cancel from the helpdesk. If you want website chat and AI answers live quickly with a small team, start with Tidio. Test either on your last 100 real conversations before deciding. Read more →
Can AI auto-reply on WhatsApp Business without a human?
Technically yes, inside the 24-hour window after a customer messages you. But WhatsApp reads like a real person chatting, so a wrong AI answer lands harder than it would in email. Unless your knowledge base coverage has been tested and holds up, keep a human confirming each draft. Outside the window you need a template Meta has already approved. Read more →
Topics
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