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Have AI scan Shopify orders each morning and queue personal welcome calls for high-value first-time buyers

who Hilary Large (Hil), founder of Wardrobe at the Cross, a women's fashion boutique and Shopify store for women over 45 (UK), interviewed on DTC Daily News

The problem

First-time boutique shoppers often visit the site several times before buying; finding who deserves a personal sizing/welcome call used to mean digging through Shopify orders by hand every morning.

What happened

Self-reported process focus: personal first-order calls reduce returns (e.g. offering a better jean size before shipment) and support strong retention (about 60–65% of orders from returning customers on a related podcast). No AI-only revenue figure published.

Quoted in the source: Hilary Large, founder, Wardrobe at the Cross. Source: DTC Daily News: This Founder Calls Every High-Value Customer. AI Tells Her Who. (Hilary Large / Wardrobe at the Cross) (2026-07-14) · Added 2026-10-14.

How to set it up yourself

1. What Wardrobe at the Cross did: automate the morning scan of new orders so humans only dial the high-value first-time buyers with a script and product context.
2. Each morning export yesterday's Shopify orders (CSV or admin list) with name, phone, email, first-order flag, order total and line items. Remove payment card data.
3. DIY path (Claude or ChatGPT): paste the de-identified rows into a Project with your sizing notes and brand voice, using the prompt below. Ask for a call queue: who to call, why, calendar title, and a 45-second script. Create calendar holds yourself (or use Claude Cowork / a Zapier step if you already connect Calendar).
4. Make the calls personally—confirm sizing, offer a swap before ship when you know a fit issue, and log the outcome in Shopify notes. Keep complaints and returns as human-owned.

Copy-paste prompt

You are the morning sales desk for {BOUTIQUE NAME}, a {NICHE} shop. Using only the order rows below, pick up to {N} customers to call today. Prefer first-time buyers over {MIN ORDER} or items with known fit risk ({FIT NOTES}). For each: 1) name and phone, 2) one-line reason, 3) calendar title under 40 characters, 4) a 45-second welcome/sizing script that never invents discounts. Skip rows missing a phone. Orders: {PASTE CSV ROWS}

Tools used

Some tool links may be affiliate links. Disclosure

Checked prices: Claude: from $17/mo billed annually ($20 monthly) (verified 2026-10-13) · ChatGPT: from Free $0; Go $8/mo; Plus $20/mo; Pro $100/mo (verified 2026-10-14)

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