[CASE_081]
Autonomous Customer Support Routing & Resolution
INDUSTRY
ENTERPRISE E-COMMERCE
MODELS
CLAUDE 3.5 SONNET + PINECONE
TIMELINE
22 DAYS
STATUS
OPERATIONAL — PHASE II SCALING
$172,000
ANNUAL OPEX RECOVERED
Deployed an autonomous RAG support agent for a global e-commerce brand. Replaced three full-time tier-one manual support roles with a deterministic LangGraph pipeline.
The Baseline Inefficiency
A global e-commerce brand processing 3,400 inbound support tickets monthly was operating with an 8.4-hour mean resolution time. Tier-one agents were spending 70% of their billable hours manually retrieving shipping status and return policies from disjointed internal databases. The projected Q3 hiring plan required an additional $172,000 in support headcount just to maintain current SLAs.
The Architectural Solution
We mapped their Zendesk taxonomy and deployed a customized LangGraph orchestration pipeline. Support queries are routed through a Pinecone serverless vector database containing 4,000+ internal operational documents. Anthropic's Claude 3.5 Sonnet generates the response, locked by strict constitutional guardrails to prevent hallucination. Complex anomalies trigger a deterministic fallback, routing the parsed data to a human escalation node via Make.com.
The Fiscal Outcome
The architecture was moved to production in 22 days. The automated pipeline achieved an 81% autonomous resolution rate within the first month. The 8.4-hour manual resolution latency dropped to 22 seconds. The client canceled the $172,000 Q3 headcount expansion and moved to our Phase II operational retainer.
Quantifiable Outcomes
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RESPONSE WINDOW
T+24 HOURS (PRINCIPAL ONLY)
CONFIDENTIALITY
DEFAULT-DENY NDA ENFORCED
TRANSMISSION
E2E ENCRYPTED CHANNEL
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