Implementation Guide
From signup to launch, here's what to expect when implementing Reevas for your e-commerce customer service.
01
Discovery Call
We start with a 30-minute call to understand your brand, current support workflows, and goals for AI automation.
- Review your current ticket volume and response times
- Identify top customer inquiry categories
- Discuss brand voice and tone preferences
- Define success metrics and KPIs
02
Data Integration
Connect Reevas to your existing tools. We support direct integrations with popular e-commerce and support platforms.
- Connect your Shopify store via OAuth
- Integrate with your helpdesk (Gorgias, Zendesk, etc.)
- Import knowledge base and FAQ content
- Configure shipping/tracking connections (Wonderment, etc.)
03
AI Training
We fine-tune the AI model specifically for your brand using your historical data and unique requirements.
- Analyze past support tickets for common patterns
- Train on your product catalog and policies
- Configure brand voice and response style
- Set up custom workflows and escalation rules
04
Testing & QA
Rigorous testing phase to ensure the AI responds accurately and matches your brand standards.
- Internal team testing with sample scenarios
- Review and refine AI responses
- Test all integration data flows
- Validate handoff procedures to human agents
05
Soft Launch
Deploy to a subset of traffic to monitor real-world performance before full rollout.
- Enable chat widget for 10-20% of visitors
- Monitor conversation quality metrics
- Gather customer feedback
- Make iterative improvements
06
Full Deployment
Roll out to 100% of traffic with ongoing monitoring and optimization support.
- Enable for all website visitors
- Activate helpdesk AI suggestions
- Set up analytics dashboards
- Begin weekly optimization reviews
What You'll Need
Required
- Shopify store (Basic plan or higher)
- Admin access to your store
- Published return/shipping policies
Recommended
- Existing helpdesk platform
- FAQ or knowledge base content
- Historical support ticket data