TL;DR

Threadit is a proposed AI-powered app that centralizes wedding vendor coordination, timelines, and payments in one place, and takes agentic action when something goes wrong, automatically identifying and reaching out to a backup vendor when an original commitment falls through. This is a self directed concept, grounded in real Indian wedding industry data, not a shipped project.

Overview

Product: Threadit

Product Manager: Jaya Soni (self directed concept)

Status: Concept PRD, moving into build

Indian weddings involve coordinating dozens of vendors, caterers, decorators, photographers, venues, each with separate timelines, payment schedules, and communication threads, usually managed manually across WhatsApp and email by one exhausted family member. Threadit proposes an AI layer that reads vendor communications, extracts commitments and deadlines into one dashboard, tracks split payments across contributing parties, and proactively finds backup vendors when something falls through.

Background and Market Context

• The India wedding services market was valued at approximately $103.93 billion in 2024, growing at a 14.3% CAGR through 2030, making India the second largest wedding market globally
• The average cost of hosting a wedding in 2023 was roughly INR 28,50,000, a 36% increase from 2022
• 53% of surveyed couples had to revise and increase their wedding budget at least once during planning due to unexpected costs
• 51% of couples rely on word of mouth to find vendors, while 30% use wedding related websites, both are trust heavy, low visibility discovery paths
• Coordinating multiple vendors and service providers across communication and logistics is repeatedly cited as a core structural challenge in the industry
• Industry analysis projects AI adoption could reduce wedding planning time by roughly 40%, largely through automating coordination and communication tasks

Problem Statement

Wedding planning today means juggling a dozen vendor relationships across WhatsApp threads, emails, and phone calls, each with its own payment schedule, deliverable, and timeline. When a vendor cannot deliver something (an unavailable flower variety, a booking conflict), the burden of noticing, finding an alternative, and re-negotiating falls entirely on the couple or family member coordinating everything, usually already stretched thin. Payments are frequently split across both families, tracked informally, and prone to confusion about who has paid what and what remains outstanding.