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Pilgrimage & Group Travel Operating System

Yatra360

Group travel breaks down in the gaps: a rooming list in one sheet, a train PNR in a chat thread, a medical note nobody saw. Yatra360 closes those gaps by modelling the whole journey as one connected system.

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What it covers

The operating surface.

Every traveller, every leg, every rupee — in one operating picture.

People

Travellers

Every traveller, every leg, every rupee — in one operating picture.

Travellers / Groups / Volunteers / Medical alerts

People

Travellers

Groups

Volunteers

Medical alerts

Movement

Bookings

Flights

Trains

Buses

Stay & care

Hotels

Rooms

Meals

Control

Expenses

WhatsApp

Reports

How it runs

From setup to daily operation.

  1. 01

    Build the yatra

    Define itinerary legs, capacity, batches and pricing once. Everything downstream inherits it.

  2. 02

    Onboard travellers

    Registration, documents, medical notes and group allocation captured against a single traveller record.

  3. 03

    Run the movement

    Flights, trains, buses, hotels, rooming and meals resolved leg by leg with live occupancy.

  4. 04

    Stay informed

    WhatsApp updates, expense tracking and operational reports for coordinators on the ground.

Workflow case study

Coordinating a multi-leg pilgrimage

Based on the documented product workflow. No customer deployment or measured results are recorded in this project.

The problem
Rooming lists, transport references and medical notes are spread across sheets and chats.
Supported outcome
Traveller records connect documents, medical flags, allocations and payments across each itinerary leg.

Design decisions

Why it holds up in the field.

One traveller record

Identity, documents, medical flags, allocations and payments resolve to the same person across every leg.

Leg-aware logistics

Transport, rooms and meals are modelled per leg, so a change in one place propagates instead of drifting.

Field-first communication

Coordinators work from phones. Updates go out where people already read them.

See it against your own operation.

Bring your messiest workflow. We will walk through how the system models it.

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