Product visuals

Opening summary

An intelligent venue and event-services marketplace combining conversational discovery, marketplace workflows, operations tooling, APIs, authentication, media, notifications, and AWS infrastructure.

Business context

Telo-Hive is shaped around the messy reality of event discovery: customers need venues and services, suppliers need structured demand, and operators need visibility across the flow.

Problem

The risk was not only building screens. The system needed a product model that could make AI useful without making the marketplace opaque.

Constraints

The first release needed to balance ambition with controlled scope, explicit AI boundaries, operational visibility, and a path to production infrastructure.

Product or project direction

The platform direction connects conversational discovery to structured marketplace records, supplier interactions, and operator review.

Orilto's contribution

Orilto shaped the product direction, UX flows, system model, engineering approach, AI boundaries, and infrastructure plan.

Experience and system design

The experience model separates customer discovery, supplier presentation, enquiry workflow, and operational oversight so each user has a clear job.

Technical architecture

The technical direction uses a full-stack web application, authenticated APIs, media handling, notifications, and AWS-aligned infrastructure with observability and deployment considerations.

What was delivered

• Product architecture
• Marketplace UX flows
• Conversational discovery model
• Application foundation
• AWS-oriented deployment plan

Evidence

• Structured feature inventory
• Architecture diagrams
• Status-based delivery roadmap
• Controlled AI workflow definition

Next-stage opportunities

Next-stage work can deepen supplier tooling, strengthen evaluation, improve operational dashboards, and expand marketplace automation once real usage data exists.

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