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VenueX AI Sales Agent

Lead Engineer

Client
Client · VenueX AI
Category
Category · AI / SaaS
Year
Shipped · 2024

Lead engineering for VenueX AI — the AI sales platform built for wedding venues, event spaces, golf clubs, and caterers. The product positions itself as an always-on sales team that replies in seconds across email, SMS, and website chat, then qualifies leads and books tours on real calendar availability.

The live product at venuexai.com emphasizes hospitality-first automation: when venue teams are buried in inquiries and follow-ups, the agent handles busywork so staff can focus on tours and events. Marketing highlights include 24/7/365 replies, personalized follow-up cadences, and appointment scheduling with confirmations and reminders — backed by customer stories from venues such as Wild Basin Lodge, The Estate at Florentine Gardens, and The Palace at Somerset Park.

Platform capabilities I helped engineer include a unified knowledgebase (pricing, packages, policies), configurable guardrails for escalation and tone, Draft Mode for human-reviewed replies that retrain the agent, a Playground for pre-launch testing, lead management across channels, custom workflows and campaigns, and analytics on lead journey and conversion. White-glove onboarding connects lead sources, shared inboxes, calendars, and existing event-management tools.

Reported customer outcomes on the site include roughly 30% more tours booked, 25% revenue uplift, and about 20 hours saved per week for sales teams — driven by faster response, smarter follow-up, and fewer leads slipping through after hours or during on-site events.

Focus areas on this build: full-stack development, AI integration, LLM pipeline engineering, system architecture.

What I built

  • Architected AI agents that handle venue inquiries 24/7 via website chat, SMS, and email
  • Built automated lead qualification and tour scheduling into a single conversation flow
  • Integrated AI-powered follow-up workflows and campaign triggers based on lead behavior
  • Engineered self-improving agent that retrains on team feedback
  • Designed multi-channel lead tracking with unified conversation history

Outcome

Venue teams using the agent see faster lead response, stronger qualification, and higher conversion velocity — without adding sales headcount.

This case study is part of the portfolio of Baqir Naqvi, Senior Full Stack Software Engineer. For a similar AI / SaaS build—architecture review, MVP delivery, or production hardening—see the other indexed projects or start a conversation from the home page contact section.

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