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Case study 04Himalayan Prism

Himalayan Prism

From social DMs to a global storefront in 45 days.

A custom WooCommerce platform and human-in-the-loop AI toolkit launched a complete, international-ready tour catalogue in half the usual time.

Client
Himalayan Prism
Industry
Premium tours and treks, Himachal Pradesh
Services
Custom WooCommerce theme, AI engineering, generative media, content automation
Client
Himalayan Prism
Industry
Travel & Tourism
Technology
WordPress, WooCommerce, ACF Pro, LangChain, LangGraph, Python, AI image generation

The storefront sells. The AI layer does the groundwork.

Himalayan Prism was run through Instagram and WhatsApp. Launching a global storefront meant turning a research-heavy catalogue into structured itineraries, inclusions, pricing, copy and imagery without holding the business off the market for months.

We engineered a custom WooCommerce theme and a generative AI workflow that accelerates the manual catalogue work while keeping every publishing decision with the client.

Project outcomes

Metrics
45 days
Launch timelineUp to 75 additional days in market against the 90–120 day industry standard.
25
Packages liveA full tour catalogue was available on launch day.
25 days
Founder time savedThe client’s estimate for research and writing removed from his workload.

Client Requirements

Core project mandates [04 key focuses]

  • 01

    International storefront

    Present premium Himachal tours to global travellers with a design and experience built for trust.

    Global selling
  • 02

    Structured tour catalogue

    Model itineraries, inclusions, pricing and supporting details consistently in ACF Pro.

    Catalogue operations
  • 03

    AI-assisted package creation

    Automate competitor research, curation, copy and relevant tour imagery.

    Content automation
  • 04

    Simple package management

    Make new packages easy for the Himalayan Prism team to add and approve.

    Client control
03 — 10

A full catalogue demanded months of manual work.
Every week offline meant lost bookings.

Research, differentiation, writing and imagery had to happen across every tour before the storefront could launch.

01

Research

Map a moving competitor landscape

Regional itineraries, inclusions and market pricing had to be researched package by package.
02

Curation

Create offers that stand apart

The catalogue needed differentiated tours and inclusions, not generic versions of what was already available.
03

Content

Turn research into complete listings

Each tour needed structured data, useful copy and relevant visual material.
04

Time to market

Avoid a 90–120 day launch

Multiplied across a full catalogue, the manual workflow would have delayed selling by months.
04 — 10

Three layers, one controlled publishing workflow.
AI accelerates. The client decides.

A proven commerce core, multi-agent orchestration and generative media work together without removing human review.

E-commerce core

A custom WooCommerce storefront

WordPress and WooCommerce run on a theme built from scratch. ACF Pro gives every tour a structured model for itineraries, inclusions, pricing and more.

Commerce coreCustom theme
  • 01WooCommerce
  • 02ACF Pro
  • 03Custom theme

AI orchestration

Research and curation as a workflow

LangChain scans the market while a LangGraph multi-agent workflow synthesises the findings, identifies gaps and curates packages unique to Himalayan Prism.

AI workflowHuman in the loop
  • 01LangChain
  • 02LangGraph
  • 03Python

Generative media

Relevant visuals for every tour

Integrated image-generation models produce context-aware tour visuals and stage them with the package data for client review.

Generative mediaStaged output
  • 01Generate
  • 02Review
  • 03Approve
05 — 10

Human in the loop

AI does the groundwork; the client decides what goes live.

A custom multi-agent workflow researches the live market, curates differentiated packages and stages complete listings for review.

  1. 01LangChain

    Autonomous competitor research

    The AI scans the regional competitor landscape and extracts current details on Himalayan trek itineraries, inclusions and market pricing.

  2. 02LangGraph

    Intelligent curation

    A structured multi-agent graph synthesises the research, identifies market gaps and curates optimised packages unique to Himalayan Prism.

  3. 03WooCommerce + ACF

    Automated staging

    Generated copy, structured tour data and AI-generated images are pushed into a WooCommerce staging environment.

  4. 04Human in the loop

    Client control

    The team reviews, refines and approves every pre-populated package before publishing it.

Live on the storefront

Approved packages can be published instantly.
Approved to publish

A full catalogue, live in half the usual time.

Automation shortened the build without removing the client’s editorial control.

  • 45 daysLaunch timeline

    Against an industry standard of 90–120 days for a project of this scope.

  • 25 packagesLive on day one

    A complete catalogue at launch, not a placeholder site.

  • About 25 daysFounder time saved

    The founder’s estimate for research and writing avoided through AI-drafted packages.

  • 50–63% shorterTime to market

    Driven by automating research, curation, copy and imagery.

The website is very savvy in terms of design and functionality, and the packages are very easy to add. I love how Resurgam used AI to create packages for my review. It took a lot of work off my plate that would otherwise have taken me at least 25 days. The design feels truly international and will work well with my global customers. I especially loved the Find your trek section and Plan my journey. The scope was so well thought out that it went beyond the information and requirements I gave. I’m very excited.

AkhilFounder, Himalayan Prism

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