Kestrel AI Assistant
Retail AI
Retail AI assistant for product questions, order status, and lead capture after hours, with clear boundaries and human handoff when needed.
Use case
Retail support
Coverage
24/7 on-site
Guardrails
Scoped knowledge base
Handoff
Human escalation path
Engagement
Studio demonstration · AI Integration tier
AI Assistant package reference
Deliverables
- Product FAQ trained on catalogue data
- Order status lookup integration pattern
- Lead capture and enquiry routing
- Tone and boundary configuration
- Analytics on resolution vs escalation
Stack & systems
Project narrative
Context
A retailer needed product answers and order lookups outside business hours without hiring overnight staff. Generic chatbots either hallucinated or felt off-brand within minutes.
Approach
We scoped knowledge tightly: catalogue, policies, and order-status patterns only. The assistant defers to humans on edge cases and logs what it could not resolve so the team improves coverage over time.
What we delivered
An on-site assistant that handles routine questions, captures leads, and escalates with context intact. Same stack and discipline we deploy on paid client AI work.
Why it matters
Shows founders what a bounded, useful retail AI looks like before they commit to a larger transformation programme.