Why do you need it?
E-commerce businesses face a consistent challenge:A growing customer base and limited human bandwidth. Customers now expect instant help, personalized suggestions, and proactive updates across every channel.
Manual teams cannot sustain that level of responsiveness or personalization at scale. An E-commerce Agent fills this gap by combining product knowledge, order data, and real-time context to handle thousands of customer interactions simultaneously.
What problems does it solve?
| Problem | Manual Process | AI Solution |
|---|---|---|
| Order tracking | Customers raise tickets | AI gives instant status |
| Product discovery | Users browse endlessly | AI recommends based on preferences |
| Returns | Manual form + support call | Conversational, guided returns |
| Upsell/Cross-sell | Rule-based engines | Personalized recommendations |
| Inventory queries | Ops team checks manually | Real-time stock visibility |
- Access and understand product catalogs from Shopify or other platforms
- Retrieve and track live order data
- Initiate refunds or returns through integrated workflows
- Suggest complementary or trending products dynamically
D2C Fashion Brand Agent
A fashion brand receives thousands of customer messages during peak festive sales.Common questions include:
- “Where is my order?”
- “Can I exchange this size?”
- “Show me similar dresses.”
Support agents handle every query manually through chat, creating long wait times and missed opportunities. After AI:
The E-commerce Agent connects with Shopify, shipping APIs, and the product catalog.
It automatically responds with contextual answers such as:
“Your order #2098 is out for delivery today. Here are similar styles that match your order.”Response times drop instantly, support volume decreases by 60%, and cart conversions increase by 12%.
APPENDIX
Without AI: The Manual Way
| Step | Effort | Time | Challenge |
|---|---|---|---|
| Order query responses | Manual lookup | 3–5 mins each | High volume |
| Return processing | Email + support | 10–15 mins each | Tedious process |
| Product recommendations | Manual merchandising | Days of setup | Static experience |
| Inventory updates | Ops sync | Weekly | Outdated data |
With AI: The Smart Way
| Step | AI Handles | Benefit |
|---|---|---|
| Order tracking | Real-time updates | Instant response |
| Returns | Conversational process | 80% faster handling |
| Recommendations | Context-based | Personalized shopping |
| Inventory | Auto-sync | Always accurate |
Without Celesto vs. With Celesto
| Step | Without Celesto | With Celesto |
|---|---|---|
| API integration | Manual Shopify setup | One-line ToolHub integration |
| Knowledge setup | Custom scripts | Connect KB directly |
| Conversational flow | Complex orchestration | Natural with Agentor |
| Deployment | Build backend infra | agent.serve(port=8000) |
| Analytics | Requires custom logs | Native Celesto dashboard |