Real-World Examples
These aren’t hypothetical scenarios. They’re the kinds of purchases happening through AI right now.
The Future of E-Commerce: Shopify + ChatGPT
Why this matters for your store: If your products fit these patterns, you’re likely to see sales through AI shopping.
Browse by Store Type
High-Impact Scenarios
Time-Constrained Shopping
Problem: Modern consumers often need to make purchases quickly—during commutes, between meetings, or while multitasking.
ACP Solution: Conversational checkout eliminates form-filling and navigation. A purchase that takes 10 minutes on a website can complete in 30 seconds through an AI agent.
User: "I need AA batteries delivered today"
AI: "I found Amazon Basics AA 24-pack for $12.99 with same-day
delivery to your address. Should I order it?"
User: "Yes"
AI: "Done! Arriving by 9 PM."Research-Heavy Purchases
Problem: Buying products that require comparison (electronics, appliances, software) is exhausting. Users open dozens of tabs, read reviews, compare specs.
ACP Solution: AI agents do the research and present summarized options based on user priorities.
User: "I need a laptop for video editing under $1500"
AI: "Based on your requirements, here are the top 3 options:
1. MacBook Air M3 - $1,299
Best for: Portability + performance
Video editing: Excellent (handles 4K smoothly)
2. ASUS ProArt - $1,399
Best for: Color accuracy + ports
Video editing: Excellent (creator-focused)
3. Dell XPS 15 - $1,449
Best for: Windows + large screen
Video editing: Very good (strong CPU)
Would you like details on any of these?"Repeat Purchases
Problem: Reordering household staples is tedious—same items, same process, every few weeks.
ACP Solution: AI agents remember preferences and can reorder with minimal input.
User: "Reorder my usual coffee"
AI: "Your usual is Blue Bottle Bella Donovan 12oz, correct?
$18 with free shipping, arrives Thursday."
User: "Actually, get two bags this time"
AI: "Updated to 2 bags - $36 total. Confirm?"Industry Applications
Retail & Consumer Goods
| Application | Value |
|---|---|
| Fashion shopping | Size recommendations, style matching |
| Grocery orders | Recipe-based lists, dietary filters |
| Home goods | Room planning, compatibility checking |
| Electronics | Spec comparison, compatibility verification |
Services
| Application | Value |
|---|---|
| Appointment booking | Schedule optimization |
| Subscription services | Plan comparison, switching |
| Travel booking | Itinerary building, price monitoring |
| Event tickets | Seat selection, group coordination |
Business
| Application | Value |
|---|---|
| Office supplies | Budget tracking, approval workflows |
| Software licenses | Seat management, renewal automation |
| Equipment leasing | Comparison shopping, term negotiation |
| Vendor management | Reorder automation, spend analysis |
Value by Stakeholder
For Consumers
- Time savings: Complete purchases in seconds
- Better decisions: AI-powered research and comparison
- Reduced friction: No forms, accounts, or repeated data entry
- Discovery: Find products you didn’t know existed
For Merchants
- New channel: Reach customers through AI platforms
- Higher conversion: Streamlined checkout = fewer abandoned carts
- Direct relationships: Keep customer data and relationships
- Reduced CAC: Lower customer acquisition costs
For Platforms
- User engagement: Keep users in-app for more activities
- Monetization: Transaction fees and premium features
- Data insights: Understanding of user commerce intent
- Ecosystem growth: More capabilities = more users
Emerging Use Cases
These use cases are early-stage or theoretical but represent significant future opportunities.
Proactive Commerce
AI agents anticipate needs and suggest purchases before you ask:
AI: "I noticed your printer ink is probably running low
based on your usage patterns. Want me to reorder?"Contextual Shopping
AI uses context from conversations to make relevant suggestions:
[During a conversation about hosting a party]
AI: "Since you're hosting 20 people, you might need extra
serving platters. I found a well-reviewed set for $34."Collaborative Shopping
Multiple users coordinate purchases through shared AI conversations:
User A: "Let's plan the camping trip gear"
AI: "I've created a shared list. Who's bringing what?"
User B: "I'll get the tent"
AI: "The 4-person tent you looked at is $189 at REI.
Should I add it to the trip list and assign it to you?"Budget-Aware Shopping
AI manages spending across categories and time periods:
User: "Buy me a nice jacket"
AI: "Your clothing budget for this month has $150 remaining.
I found three jackets in that range:
1. Patagonia Better Sweater - $139
2. North Face Apex - $149
3. Uniqlo Ultra Light Down - $79
The Uniqlo would leave room for other purchases this month."Getting Started
Ready to implement these use cases? Explore our guides: