# Cut writing-it-up time by 6 hours a week: the AI build for UK retailers Source: https://getstartedwithai.net/tutorials/ai-for-retail-uk-smb-build Site: Get Started With AI Tagline: Build AI automations that actually run your business. Audience: solo professionals, freelancers, consultants and AI implementers in training Contact: hello@getstartedwithai.co.uk This Markdown companion is generated from the prerendered page for AI crawlers. # Cut writing-it-up time by 6 hours a week: the AI build for UK retailers Six to eight hours of writing-it-up time, every week, gone from the back office of a UK independent retailer. The build below moves product descriptions, customer query replies, supplier letters and the weekly trading email onto a configured ChatGPT or Claude Project running against the brand voice and the product range. Buying decisions, merchandising and customer relationships stay with the owner. Setup is 90 minutes; ongoing run time is 30 minutes a day. Most independent retailers see conversion lift 6 to 10 percent on refreshed lines and email open rates lift 4 to 7 points within the first month. ## What you need - A ChatGPT Plus or Claude Pro account at £15 to £20 a month. - Your last 30 product descriptions that converted, the brand voice notes, and 20 of your strongest customer reply emails. - A Zapier or Make paid plan if you want the customer-query inbox automated. - Your stock or POS export. Shopify, Lightspeed Retail, Square for Retail, Vend or Epos Now all give a CSV. ## Step 1: Build the product description Project (25 minutes) Most independent retailers carry 200 to 2,000 lines and refresh descriptions twice a year at most. The Project below cuts the rewrite from 12 minutes per line to 2 minutes per line. 1. Create a Project named Product Descriptions. 2. Upload the 30 product descriptions that converted, the brand voice notes, and your category structure. 3. System prompt: write a UK retail product description in the voice of the uploaded examples. UK English. 80 to 120 words. Lead with the use case rather than the feature list. Avoid generic retail copy and avoid superlatives. 4. Test on next weeks new arrivals. The first draft is 80 percent ready before the buyer opens it. 5. Workflow: paste the supplier line sheet, get the draft, edit in 90 seconds, push to Shopify or your POS. ## Step 2: Customer query replies (15 minutes) Customer queries on email, Shopify Inbox, Instagram DM and the contact form take 8 to 12 minutes each from scratch. The Project replies in 90 seconds. 1. Add a second Project for customer queries calibrated to your last 20 strongest replies. 2. System prompt: draft a reply to a customer query for a UK independent retailer. UK English. Match the warmth of the uploaded examples. The reply is specific to the question and offers one next step. 3. For higher volume, in Zapier on a new email to the queries inbox, send to the Project, place the draft in Gmail or Outlook for owner sign-off. 4. Add the rule: never paste customer payment data or addresses into the Project. Names and order numbers are fine on the Plus or Pro tier. ## Step 3: The weekly trading email (15 minutes) Independent retailers send a weekly email to their list with new lines, a featured product and a reason to visit. The Project drafts it from the Shopify export. 1. Add a third Project named Weekly Trading Email. 2. Inputs each Sunday: the new arrivals export, the top three sellers from the week, one local hook (a market day, a school term, a community event). 3. System prompt: draft the weekly trading email for a UK independent retailer. UK English. 180 to 220 words. One featured product, three new arrivals, one in-store reason to visit. Plain text body, then a subject line under 40 characters. 4. Owner edits in 5 minutes, schedules in Mailchimp, Klaviyo or Brevo. ## Step 4: Supplier and out-of-stock writing (10 minutes) Out-of-stock holding emails, supplier chases on late deliveries and the small batch of letter writing each week eats another 90 minutes. One Project handles the lot. 1. Add a fourth Project for supplier and stock writing. 2. Inputs as needed: the supplier name, the order reference, the date the line was promised, and the customer impact in one line. 3. System prompt: draft a UK retail supplier or customer holding letter. UK English, plain language, specific to the case. The letter names the date and the next step and avoids filler. ## Step 5: First 30 days of operation Run the four Projects across one full month. Compare conversion on edited product pages against the unedited control set. Most independent UK retailers see conversion lift 6 to 10 percent on the refreshed lines and the email open rate lift 4 to 7 points within the first month. ## What you ship Four Projects calibrated to your voice. Product descriptions in 2 minutes per line, customer queries in 90 seconds, the trading email drafted in 5 minutes, supplier letters on demand. Conversion lifts on the refreshed lines; the back office gets its evenings back. ## What to build next Pair this with the ai-for-ecommerce-conversion-build tutorial for funnel work across the catalogue. Multi-site retailers can apply this with clients at £900 to £2,200 setup plus £150 to £300 a month for operation. ## Related builds More tutorials in Industries. Each one runs in 60 to 90 minutes and ships a finished asset. ### Reclaim 8 hours a week as an accountant: the AI build for practice work 30 to 60 minutes. Solo Pro / Implementer. 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Unique product copy beats generic supplier blurb at the SERP level. The Project produces unique copy per line, which closes the duplicate-content gap most independent retailers carry. ### What about clothing sizing and returns? Sizing language sits in the Project as a calibration note. Returns policy is added once and inherited by every reply. The Project never improvises on returns; it points to your written policy. ### Will customers know AI replied? On most queries the owner edits the draft before it sends. Where the policy requires disclosure, a one-line footer in the auto-reply covers the obligation under UK GDPR. ### How does this fit with the ai-for-ecommerce-conversion-build tutorial? The ecommerce-conversion build is conversion-rate work across the funnel. This build is the writing-it-up layer for an independent retailer. Most retailers do this build first because the time saving is faster, then layer the conversion build on top.