Week 3: Integrating AI into Daily Operations Without Chaos

Goal: Ensure AI fits into existing dry-cleaning workflows instead of disrupting them.

Lesson 1: Assessing Your Current Processes Before Adding AI

Key Takeaways:

• AI enhances efficiency but does not fix broken processes.

• Identify gaps in your workflow before introducing automation.

• Example: If AI sends automated order-ready texts, ensure your POS system reliably tracks completed orders.

Action Step:

• List 3 daily tasks that often cause delays or errors in your business.

Lesson 2: Matching AI Tools to Business Tasks

Key Takeaways:

• Use AI where it adds value without complicating operations.

• Common AI integrations for dry cleaners:

  1. Customer Service AI – Automated responses, appointment booking.

  2. Inventory Management AI – Supply tracking, order notifications.

  3. Marketing AI – Social media scheduling, email campaigns.

  4. Sales Tracking AI – Revenue trends, customer purchasing habits.

Action Step:

• Identify one AI tool that could improve a specific task in your workflow.

Lesson 3: Implementing AI in a Step-by-Step Approach

Key Takeaways:

• Start small to avoid overwhelming staff and operations.

• Example of gradual AI integration:

  1. Step 1: Automate text reminders for order pickups.

  2. Step 2: Introduce AI-generated marketing content.

  3. Step 3: Implement AI-based sales tracking for pricing insights.

Action Step:

• Choose one small AI-powered change to implement this week.

Week 3 Action Guide

Step 1: Identify Workflow Bottlenecks

List 3 tasks in your business that frequently slow things down:

Step 2: Select an AI Tool to Assist

Match each bottleneck with a potential AI solution:

Workflow Issue	AI Solution
Example: Customers call to ask if orders are ready.	Example: AI-powered SMS notifications for order completion.

Step 3: Create a Simple AI Integration Plan

Fill in this workflow template for introducing AI:

• Step 1: Select a task to automate ➝ (What AI tool will you use?)

• Step 2: Test it manually before automating ➝ (What checks will you put in place?)

• Step 3: Implement AI gradually ➝ (What will you track to measure success?)

Next Week: Combining AI Insights with Business Expertise