LLM assistant that resolved 95% of price requests without human intervention — achieved within eight weeks for an airline parts company.
The client received a high volume of price requests for aircraft parts. Each request required a human to read the email, locate the right part, check current pricing and stock, then craft a reply — a slow, manual process that delayed responses and tied up the support team.
We delivered a custom LangChain-based agent integrated with the client's Gmail account and price-request shared mailbox. The agent reads incoming emails, identifies the part, validates details via SerpAPI and on-site search, extracts current pricing and stock, then drafts and sends a structured reply via Gmail.
Monitor price-request mailbox; parse sender, subject, body
Extract part numbers and product descriptors from free text
Resolve ambiguous SKUs and locate canonical product pages
Scrape/Query company site for live price & stock
Generate compliant, branded reply with product, stock, price
Dispatch or route to human-in-the-loop if confidence < threshold
The agent learned common part formats and vendors quickly, clearing the backlog and handling the majority of price requests end-to-end.
Median time-to-first-response dropped under five minutes, with standardized content and clear pricing, stock, and lead-time details.
Support agents shifted from repetitive lookups to higher‑value conversations and escalations, reclaiming dozens of hours each month.
Quick, accurate pricing improved responsiveness for time‑sensitive buyers — leading to higher conversion on urgent parts requests.
The agent ships with strict controls: confidence thresholds with human handoff, brand‑safe templates, logging and audit trails, and configurable business rules for pricing and stock disclosures.
"We went from inbox chaos to instant quotes. The AI agent replies faster than we ever could, with fewer mistakes."
Automate price and stock requests with guardrails, while your team focuses on what humans do best.