AI Support Bot That Resolved 78% of Tickets Automatically
78%
Auto-Resolution
14hrs → 2min
Response Time
4.6/5
CSAT Score
$220K
Annual Savings
A fast-growing DTC brand processing 3,000+ orders per day was drowning in support tickets. Their 8-person support team had a 14-hour average response time and a growing backlog of 400+ unresolved tickets. Common questions about order status, returns, and sizing accounted for 80% of volume, but every ticket still required a human touch. Customer satisfaction scores had plummeted to 3.1/5.
We built a RAG-powered AI support agent that understands the brand's entire knowledge base and handles customer conversations end-to-end.
Knowledge Base Ingestion with Pinecone + LangChain
Ingested 2,000+ help articles, return policies, product specs, and past ticket resolutions into Pinecone vector database. LangChain handles chunking, embedding, and semantic retrieval so the bot always pulls the most relevant context.
Conversational AI Agent with GPT-4
Built a multi-turn conversational agent using GPT-4 with custom system prompts tuned to the brand voice. The agent can check order status via Shopify API, initiate returns, update shipping addresses, and apply discount codes — all within the chat.
Escalation Logic & Human Handoff
Designed intelligent escalation rules: if the bot detects frustration, mentions legal issues, or the customer explicitly asks for a human, it seamlessly transfers to a live agent with full conversation context. No dead ends.
Feedback Loop & Continuous Improvement
Every resolved ticket feeds back into the training pipeline. A weekly N8N workflow identifies low-confidence responses and flags them for human review, continuously improving accuracy from 68% to 78% in the first 8 weeks.
Built With
Delivered in 5 weeks
LangChain
RAG orchestration & agent logic
GPT-4
Conversational AI & reasoning
Pinecone
Vector database for knowledge retrieval
N8N
Feedback loops & workflow automation
Shopify API
Order management integration
Intercom
Chat widget & human handoff
The bot now handles 78% of all tickets without human intervention. Response time dropped from 14 hours to under 2 minutes. CSAT scores climbed from 3.1 to 4.6 out of 5. The support team was reduced from 8 to 3, with remaining agents focusing on VIP and complex cases.
78%
Auto-Resolution
14hrs → 2min
Response Time
4.6/5
CSAT Score
$220K
Annual Savings
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