AI-Powered Event Marketplace
An all-in-one event marketplace connecting vendors, planners and customers, where AI search and a vendor copilot had to work reliably in production, not just in demos.
Overview
A fixed-scope engagement for an early-stage startup building an all-in-one event marketplace that connects vendors, event planners and customers on a single platform. The client came with an idea and a product vision; XLORIT was the first and only team, building the entire product from scratch.
An AI-first marketplace where the AI had to actually work, not just exist
Existing event platforms offered listings. None offered a unified marketplace with AI helping both sides: vendors optimizing their presence, customers finding the right fit through natural language. The vision needed three AI features working reliably in production: a search engine that understood budget and intent, a profile copilot with accurate and scoped recommendations, and a backend AI layer that returned consistent, structured output every time. If the AI responses weren't clean JSON, the frontend broke, every time.
- AI responses returned unstructured text instead of consistent JSON
- Natural language search misread budget signals
- The vendor copilot needed guardrails against bad suggestions
- Default rendering produced pages search engines couldn't index
Our Approach
We solved the AI reliability problem first, then built everything on top of it.
AI that's reliable in production, not just impressive in demos
Malformed AI output was breaking the frontend, the search was misreading budgets, and the copilot had no guardrails. None of it was visible to end users, but all of it would have made the product unusable at launch. We enforced structure, engineered the prompts, added guardrails and restricted scope, because when AI is the core experience, unreliable AI is a broken product. The engagement came through a referral, and the AI architecture decisions were led entirely by XLORIT.
- 0 → fully shipped marketplace, admin panel, AI search, AI copilot and invoicing
- Structured JSON enforced: no malformed outputs reaching the frontend
- Budget constraints reliably interpreted across all query formats
- Copilot guardrails block bad suggestions before they reach vendors
- Fully server-side rendered and indexable from day one
- 20+ vendors onboarded during the initial rollout
We were an early-stage startup with a big idea and not much room for mistakes. The team took us from nothing to a live marketplace with AI search and a vendor copilot, and they were honest with us the whole way about what would and wouldn't work.
More from XLORIT
More Case Studies
PropTech Revenue Intelligence Platform
Built a multi-integration PropTech SaaS from zero, with a 24x7 multilingual prospect AI agent and a sync layer that unifies AppFolio, Rent Manager and Rentvine data and catches its own failures.
Teams Call Quality AI Analyzer
Every Microsoft Teams call quality complaint meant a support ticket and a manual investigation call. We built an AI monitoring layer that flags real issues before they become tickets.
Indian Grocery Ecommerce Platform
A US online grocery platform for the Indian diaspora had a webview app with no crash visibility and a silent billing flaw. We rebuilt the foundation and shipped native apps on top of it.
Enterprise Appraisal Management System
A multinational agribusiness needed its tea estate and factory worker appraisals off paper and spreadsheets, live before a fixed appraisal cycle just two months away.
B2B Credit Card Payment Platform
An early-stage FinTech startup wanted businesses to pay rent, GST and vendors by credit card. We built the full platform, and proposed the architecture that made it production-safe.
Unified Infrastructure Monitoring Dashboard
An enterprise's IT teams watched FreshService, Zscaler and other tools separately, so outages slipped through. We built one real-time dashboard for the head office, and caught a hidden cost problem along the way.
Building with AI?
Integrating AI is easy. Making it return the right answer, in the right format, every time is the actual work.
Book a Call