SHOE PREDICTOR

## 🧾 **S.O.P. — ShoeScout Pro Sales Workflow**

### 🎯 Purpose

To help retail shoe salespeople build loyal customer relationships using AI that predicts what shoes a customer will buy next, when they’ll buy them, and what’s available in their size.

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### 🪜 **Step-by-Step Workflow**

#### **1. Customer Intake**

1. Greet the customer and introduce ShoeScout Pro:

“We use a new system that learns your style so we can alert you when new shoes drop in your size. Want to try it?”

2. Open the ShoeScout GPT and enter:

**Create profile for [Customer Name].**

3. Collect:

* Name

* Shoe size(s)

* Contact method (email or SMS)

* Purchase frequency (e.g., every 2–3 months)

4. Ask for **12+ images** of shoes they like (from IG, websites, or photos).

* Optional: 3–5 they dislike.

* The GPT will ask for more if needed.

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#### **2. Style Profiling**

1. Allow GPT to analyze uploaded shoe images.

2. Confirm details (brands, colors, price range).

3. Save the customer’s preferences in the CRM sheet.

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#### **3. Purchase Timing**

1. GPT will auto-suggest a **Next Purchase Window** (e.g., “Expected Dec 5–20”).

2. Log this in the sheet.

3. Add a **follow-up reminder** (10 days before the window).

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#### **4. Product Matching**

1. Ask GPT:

**“What should I show [Name] this week?”**

→ You’ll get 3–5 high-probability matches.

2. Use the description provided to pitch the shoe.

3. Offer to hold or reserve their size.

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#### **5. Customer Alert System**

1. GPT provides pre-written message templates for each stage:

* **Pre-window alert:** “Hey [Name], your next drop hits soon…”

* **Drop-day message:** “Your match just landed in your size!”

2. Send message through the preferred contact method.

3. Record all communication in the CRM.

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#### **6. Follow-Up & Loyalty Building**

* Always confirm if they received the alert.

* Ask for feedback post-purchase to fine-tune predictions.

* Offer exclusive pre-orders or early access based on their loyalty tier.

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### ⚙️ Maintenance

* Review CRM weekly to update purchase windows.

* Clean up inactive contacts every 6 months.

* Keep customer consent up-to-date for privacy compliance.

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## 📊 **Spreadsheet Template (CRM Tracker)**

| Customer Name | Contact | Shoe Size | Brand Affinity | Color Prefs | Price Range | Purchase Frequency | Next Window | Consent | # of Images | Top 3 Matches | Follow-Up Date | Notes |

| ------------- | --------------------------------------- | --------- | -------------- | ------------ | ----------- | ------------------ | ----------- | ------- | ----------- | -------------------------- | -------------- | ----------------------------------- |

| John D. | [john@email.com](mailto:john@email.com) | 10.5 | Nike, NB | Black, Olive | $120–$200 | 8 wks | 12/05–12/19 | ✅ | 24 | 990v6, Air Max 1, Dunk Low | 11/25 | Prefers suede, hates patent leather |

🧩 Columns align perfectly with the JSON output from the GPT — you can import/export directly or sync later via an API.

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## 🎤 **Sales Training Script (for Reps)**

### 🗣️ Opening Pitch

> “Hey [Customer Name], we’ve started using an AI tool that learns your sneaker taste and alerts you when the perfect pair drops in your size — before anyone else knows. Would you like me to build your profile?”

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### 📸 Image Collection

> “All I need are a few photos or screenshots of shoes you like — around a dozen. You can even grab them from your Instagram feed or shopping cart.”

*(If they’re hesitant)*

> “It’s private and just helps us predict what you’ll actually love next time you’re ready to buy.”

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### ⏰ Purchase Frequency

> “How often do you usually grab new shoes? Every few months, or only for special drops?”

(GPT uses this to time follow-ups.)

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### 💬 Message Follow-Up Example

> “Hey [Name], your vibe matched perfectly with the new [Model]. We’ve got your size in stock right now — want me to hold it?”

*(Keep tone friendly, like texting a VIP client.)*

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### 💡 Closing Script

> “We’ll keep your style on file so every new release that fits your look — and your size — pings right to you. You’ll never miss a drop again.”

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