The Basics (if you're not doing these, start today)

Turn customer service threads into insight. Paste your Helpdesk or email support tickets into Claude or ChatGPT. Ask it to group by theme, flag urgency, and identify your top 5 recurring issues. You'll see patterns in minutes that would take weeks to notice manually.

Use AI to write product descriptions at scale. Give it your product specs, your brand voice, and your target customer. It'll draft copy that's tight, consistent, and optimised for search — across your entire catalogue, not just your hero SKUs.

Rewrite your B2B quote emails and proposals. Paste your draft, tell it the audience (wholesale buyer, procurement manager, independent retailer) and the tone you want. Get something personalised and professional back in seconds.

Summarise your customer reviews. Drop your Shopify review exports or Google reviews into AI and ask for a summary of what customers love, what they complain about, and what they wish existed. That's your next product brief.

Customer and Competitor Heat Mapping (massively underused in retail)

Map your customer base for cross-sell opportunities. Upload your customer list — names, purchase history, order value, categories bought — and ask AI to identify segments that look similar to your best buyers. Then brief your email platform to target them differently.

Feed your win/loss data into AI. Which wholesale accounts converted? Which ones ghosted after a quote? Paste the context and ask AI to identify patterns — pricing sensitivity, category preferences, timing, whatever you've got. It'll find the signal.

Scrape your competitors' product pages and pricing. Paste what you find and ask AI to map the gaps — where are they stronger, where are you stronger, what claims are they making that your customers care about? Build a simple positioning snapshot you can actually use.

More Advanced (but still low effort once you're set up)

AI-assisted buying decisions. Feed in your sell-through data by SKU, your current inventory levels, and your supplier lead times. Ask AI to flag what you should be reordering, what's dead stock, and what's about to run out ahead of a key trading period.

Automate your weekly trading summary. Pull your Shopify analytics into a doc — revenue, conversion rate, AOV, top SKUs — and ask AI to draft a summary with commentary. Great for keeping stakeholders or investors informed without it taking half your Friday.

Test your B2B messaging before you send it. Ask AI to role-play as your target wholesale buyer. Pitch to it. It'll push back with the objections real buyers have. Sharpen your response before you're on the phone.

Out-of-the-Box (worth thinking about)

Build a shadow board for ranging decisions. Train an AI persona on your best-performing buyer's decision-making logic. Before you commit to a new range or supplier, run it past the AI version. It'll ask the questions you'd otherwise miss.

Run synthetic competitor tests. Ask: "If I were [competitor], how would I beat us?" The answer is uncomfortable. That's the point.

Set up a live opportunity radar. Use AI to monitor new business openings, trade show announcements, and brand funding rounds in your category. Know when a potential wholesale account is about to scale — before your competitor does.

The Shopify merchants who are ahead right now aren't using more AI tools. They're using the ones they already have, more deliberately.

Start with one thing from the basics list. Do it this week. The compounding effect is real.