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Yuvraj Raulji

Yuvraj Raulji

E-commerce & Digital
Transformation Consultant

Technology Strategist specializing in Magento 2, Shopify, Headless Commerce, Modern Web, Generative AI and Agentic AI.

I help B2B, B2C, D2C and marketplace businesses modernize digital commerce, make better technology decisions, and build scalable digital ecosystems across commerce, architecture, infrastructure, analytics and AI.

  • 9+ Years
  • B2B
  • B2C
  • D2C
  • Marketplace
  • Commerce + Technology + AI
Explore My Expertise
Years Experience
9+
Projects Delivered
50+
SKUs Managed
500K+
Monthly Users
1M+
Yuvraj Raulji, E-commerce and Digital Transformation Consultant
  • Magento 2
  • Shopify
  • Headless Commerce
  • Modern Web
  • Generative AI
  • Agentic AI

Introduction

Yuvraj Raulji — E-commerce Technology Consultant & Strategist

I’ve spent 9+ years building commerce platforms for B2B, B2C, D2C and marketplace businesses — Magento 2 and Adobe Commerce, Shopify and Shopify Plus, WooCommerce, and headless storefronts on Next.js and React.

The work rarely stops at the platform. It runs down into server infrastructure, caching, database and search performance, and back up through analytics, tracking and technical SEO — because those are the layers that decide whether a commerce site actually holds up under load and converts what it attracts.

More recently that includes deciding where generative and agentic AI genuinely change a commerce operation, and where they are an expensive distraction. Both answers come up regularly.

  • 9+Years in commerce
  • 50+Projects delivered
  • 12+Multi-store Magento 2 platforms
  • 500K+SKUs under management

Expertise

Strategic Capabilities

Fourteen connected disciplines — from commercial strategy through architecture, platforms, engineering and AI. Most engagements draw on several at once, which is usually the point.

  • E-commerce Technology Strategy

    I map commercial goals to a technology plan — platform selection, build-vs-buy, phasing and total cost — so the stack follows the business case instead of the other way round.

    • Platform Selection
    • Roadmapping
    • Technical Due Diligence
  • Digital Transformation

    Strategic modernization roadmaps that replace legacy stacks with cloud-native, API-first ecosystems — sequenced so trading continues throughout the migration.

    • Legacy Migration
    • Process Redesign
    • Phased Rollout
  • Enterprise Commerce Architecture

    System design for multi-store, multi-currency and B2B commerce — data models, integration boundaries and service contracts that stay maintainable as catalogues and order volume grow.

    • Multi-store
    • B2B Workflows
    • ERP & PIM Integration
  • Magento 2 & Adobe Commerce

    Enterprise Magento 2 and Adobe Commerce builds — custom modules, multi-store setups, B2B workflows and the performance engineering that keeps large catalogues fast.

    • Custom Modules
    • Multi-store
    • Adobe Commerce
  • Shopify & Shopify Plus

    High-growth Shopify Plus ecosystems for premium storefronts — international scaling, theme architecture, app integration and conversion-led merchandising.

    • Shopify Plus
    • Liquid & Hydrogen
    • International
  • Headless & Composable Commerce

    API-first commerce layers built on Next.js, GraphQL and composable services — decoupling the storefront so front-end iteration stops waiting on back-end release cycles.

    • Next.js
    • GraphQL
    • PWA Studio
  • Modern Web Architecture

    Production front-end architecture in React and Next.js — typed, componentized, and structured so the codebase stays maintainable years after launch rather than being rewritten.

    • React
    • Next.js
    • GraphQL
  • WordPress & WooCommerce

    Custom WordPress and WooCommerce builds — bespoke themes, plugin development, checkout and catalogue customization, plus the hardening and performance tuning these stacks usually arrive without.

    • WordPress
    • WooCommerce
    • Custom Plugins
  • Server & Cloud Infrastructure

    End-to-end provisioning on AWS EC2, RDS and S3 with Nginx, Varnish and Redis — production environments for Magento 2, WordPress and WooCommerce, built to be reproducible.

    • AWS
    • Nginx & Varnish
    • Redis
  • Performance Engineering

    Code profiling, caching layers, CDN configuration, image pipelines and database tuning — measured against Core Web Vitals rather than synthetic scores alone.

    • Core Web Vitals
    • Caching
    • Database Tuning
  • E-commerce SEO & Growth

    Technical SEO for large catalogues — crawlability, indexation, structured data, category and product optimization, and the internal linking that compounds organic revenue.

    • Technical SEO
    • Structured Data
    • Indexation
  • Analytics & Measurement

    Engineer-grade measurement — GA4 e-commerce events, GTM dataLayer design and server-side conversion tracking, so reporting reflects what actually happened.

    • GA4
    • GTM & dataLayer
    • Conversions API
  • Generative AI & Automation

    Applied generative AI for content workflows, product discovery and internal operations, wired into real systems through n8n and API integrations rather than left as demos.

    • OpenAI APIs
    • n8n
    • Content Workflows
  • Agentic AI & AI Agents

    Where generative AI produces output, agentic AI reasons, plans and executes multi-step tasks inside defined systems — with explicit scope, tool access and human checkpoints.

    • Agent Architecture
    • Tool Use
    • Workflow Automation

Most projects start with a conversation about where the current stack is holding the business back.

Infrastructure

Server Infrastructure & Performance Engineering

Commerce performance is an architecture problem before it is a code problem. This is the stack I work across, and the layers where load is actually won or lost.

Request path, top to bottom

  1. Frontend

    What the customer touches — rendering, routing and asset delivery.

    • Next.js
    • React
    • PWA Studio
    • CDN
  2. Application Layer

    Business logic, checkout, catalogue and integration surface.

    • PHP
    • PHP-FPM
    • Node.js
    • Magento 2
  3. Cache

    Absorbs repeat load before it ever reaches PHP or the database.

    • Redis
    • Varnish
    • Full-page Cache
  4. Database

    Transactional store — indexing, query plans and replication.

    • MySQL
    • PostgreSQL
    • Query Optimization
  5. Search

    Catalogue search and faceted navigation at catalogue scale.

    • Elasticsearch
    • Indexing Strategy
    • Faceted Search
  6. Infrastructure

    The ground everything runs on — provisioning, deployment, recovery.

    • Linux
    • Nginx
    • Apache
    • Docker
    • CI/CD

Performance engineering

Work is measured against Google’s published Core Web Vitals thresholds for a “good” experience. These are the industry targets, not measurements of this page.

LCP
< 2.5s
Largest Contentful Paint
INP
< 200ms
Interaction to Next Paint
CLS
< 0.1
Cumulative Layout Shift
  • Server & Application

    PHP-FPM tuning, opcode caching, worker sizing and request profiling to cut time-to-first-byte.

  • Database

    Slow-query analysis, index design and schema tuning so catalogue and order queries stay flat as volume grows.

  • Caching Strategy

    Full-page, block and object caching layered so invalidation is predictable rather than accidental.

  • Search

    Index structure and query shaping to keep faceted navigation responsive on large catalogues.

  • Frontend

    Critical path, bundle size, image pipelines and font loading — measured against real-user data, not lab scores alone.

  • Scalability

    Load characterisation and capacity planning ahead of campaigns, migrations and seasonal peaks.

Slow checkout, failing migrations, a database that buckles under campaign traffic — these are usually diagnosable in a single conversation.

Measurement

Analytics & Tracking

Engineer-grade measurement for digital commerce. Most tracking problems are not reporting problems — they are implementation problems that surface months later as numbers nobody trusts.

  • GA4 E-commerce Events

    The full purchase funnel instrumented as spec-compliant events — item lists, add-to-cart, checkout steps, purchase — with consistent item payloads.

    Drop-off becomes attributable to a step instead of a guess.

  • GTM & dataLayer Design

    A documented dataLayer contract implemented at the template level, so tags read structured data rather than scraping the DOM.

    Tags survive redesigns instead of breaking silently on deploy.

  • Meta Pixel & Conversions API

    Browser pixel paired with server-side CAPI, deduplicated by event ID and enriched with hashed customer parameters.

    Recovers conversions lost to ad blockers and cookie restrictions.

  • TikTok & Snapchat Pixels

    Channel pixels mapped to the same event taxonomy as GA4 and Meta, rather than each platform defining its own truth.

    Channel reporting becomes comparable instead of contradictory.

  • Product Analytics

    Mixpanel event modelling for behavioural questions GA4 answers poorly — cohorts, retention and feature-level funnels.

    Shows why users churn, not just that they did.

  • Engagement Platforms

    WebEngage, MoEngage and HubSpot wired to the same event stream that powers reporting, including identity resolution.

    Lifecycle campaigns trigger on real behaviour, not stale segments.

  • Payment Gateway Tracking

    Reconciling gateway callbacks against front-end purchase events to catch orders that complete off-site or after redirect.

    Closes the gap between analytics revenue and actual settled revenue.

  • Performance Tracking

    Real-user Core Web Vitals collected per template and correlated with conversion rate.

    Turns performance work into a revenue argument rather than a score.

Organic Growth

E-commerce SEO & Organic Growth

Organic performance on a commerce site is decided by architecture, rendering and speed long before it is decided by content. I work on SEO from that end first.

  • Technical SEO

    Crawl budget, render behaviour, status codes, redirects and log-file analysis — the layer most catalogue sites lose rankings to without noticing.

  • Crawlability & Indexation

    Controlling what gets crawled and what deserves to be indexed: faceted navigation, parameter handling, pagination and thin-page suppression.

  • Category & Product SEO

    Category pages treated as the primary ranking asset, with product templates that scale metadata and copy without duplicating it.

  • Structured Data

    Product, Offer, Breadcrumb and Organization markup that validates and matches on-page reality, so rich results hold rather than flicker.

  • Internal Linking

    Deliberate link architecture between hubs, categories and content so authority reaches the pages that actually convert.

  • Platform SEO

    The platform-specific traps — Magento layered navigation, Shopify collection URLs, WooCommerce permalink and pagination behaviour.

Why it is never only an SEO problem

  • Technology

    Rendering and platform behaviour decide what Google can see.

  • Architecture

    URL and category structure is information architecture.

  • Performance

    Core Web Vitals are a ranking and conversion input.

  • Analytics

    Measurement proves which organic work paid.

  • Content

    Coverage and intent matching drive qualified traffic.

  • Conversion

    Traffic without conversion is a cost, not a result.

If organic traffic has plateaued despite the content work, the cause is usually further down the stack.

Generative AI

Generative AI for E-commerce & Digital Transformation

The useful question is not what a model can generate — it is which parts of a commerce operation are bottlenecked by writing, classifying or summarising at volume. Those are the parts worth automating.

  • AI Strategy

    Deciding where AI genuinely changes unit economics and where it is an expensive distraction — before any build starts.

  • Content Workflows

    Product copy, category descriptions and metadata generated against brand rules, with human review kept in the loop.

  • Product Discovery

    Semantic search, attribute enrichment and recommendation logic that help customers find products the catalogue already has.

  • Customer Experience

    Assisted support and pre-sales answers grounded in real product data, so responses stay accurate rather than plausible.

  • AI Analytics

    Turning reporting into questions a merchandiser can ask in plain language, answered from the warehouse rather than guessed.

  • AI Operations

    Back-office automation — data cleanup, catalogue QA, exception handling — where volume makes manual work the bottleneck.

Agentic AI

Agentic AI & Intelligent Automation

Generative AI

Generates. You give it a prompt, it returns content — text, code, an image, a summary.

Agentic AI

Reasons, plans and executes. You give it a goal, and it works through steps using tools it is permitted to call — inside a defined system.

How an agent actually runs

  1. Goal

    A defined objective with explicit constraints and success criteria.

  2. Plan

    The agent decomposes the goal into ordered, checkable steps.

  3. Act

    Execution through a fixed set of tools and APIs it is permitted to call.

  4. Observe

    Results are verified against the criteria, and the plan is revised.

  5. Checkpoint

    A person approves anything consequential before it takes effect.

Scope is the whole discipline. I build agents with an explicit tool set, defined boundaries and a human checkpoint before anything consequential commits — not systems that run a business unsupervised.

Where they apply

  • Shopping Agents

    Guided product selection across large or technical catalogues.

  • Sales Agents

    Qualification and quote preparation inside defined B2B rules.

  • Customer Service Agents

    Order, returns and status handling against real system data.

  • Analytics Agents

    Recurring analysis and anomaly reporting on commerce data.

  • SEO Agents

    Crawl, audit and content-gap analysis at a cadence humans will not sustain.

  • Ops Agents

    Catalogue QA, data reconciliation and exception routing.

Most AI conversations start with the wrong question. The useful one is which workflow is expensive enough to be worth changing.

Impact Architecture

Selected Projects & Digital Commerce Experience

Headless Commerce · Fashion

Powerlook

High-performance headless commerce architecture for India’s fastest-growing men’s fashion brand.

Magento 2 · Marketplace

ShopUnicore

A scalable Magento 2 platform powering a wide multi-category retail catalogue.

E-Commerce · Health & Fitness

S3Buy

Online fitness and supplement store delivering authentic sports nutrition at speed.

Magento 2 · Textiles

Modern Fabrics

A powerful, flexible Magento 2 commerce build for a premium fabric retailer.

Shopify · D2C

Future Roots

India’s most trusted online plant store on Shopify — OTP login, GoKwik one-page checkout, custom PDPs.

Magento 2 · Fabrics

Regal Fabric Gallery

High-performance Magento 2 storefront serving fabric customers worldwide.

Magento 2 · Luxury Fashion

Africa Fashion House

A Magento 2 flagship showcasing luxury African fashion collections.

Custom Platform · B2B

Nxtby

Scalable B2B procurement platform streamlining purchase requests and approvals.

Web Platform · Manufacturing

Synergy Water Slides

A modern engineering brand platform — 3× traffic growth and 45% better engagement.

Magento 2 · Industrial Safety

Sure Safety

Magento 2 commerce for a leading manufacturer of PPE and industrial safety solutions.

Magento 2 · Grocery

Al Jazira Supermarket

Scalable Magento 2 grocery commerce serving thousands of supermarket products online.

01 / 11

Command Center

E-commerce Technology & Architecture

A living technology layer connecting commerce platforms, cloud infrastructure, AI automation, and high-performance experiences.

Commerce

Platforms

Expert
Magento 2 / Adobe Commerce
Shopify & Shopify Plus
WordPress & WooCommerce
Headless Commerce
Multi-store Architecture

Cloud &

Infrastructure

Expert
AWS (EC2, S3, CloudFront)
Nginx / Apache
Redis & Varnish Cache
MySQL / PostgreSQL
Elasticsearch

Frontend

& UI Development

Advanced
Next.js / React
Tailwind CSS
Alpine.js / JavaScript
TypeScript
HTML5 / CSS3 / SCSS

AI &

Automation

Advanced
OpenAI / GPT-4
Claude AI (Anthropic)
n8n Automation
Python / API Integration
Prompt Engineering

SEO &

Analytics

Expert
Google Analytics 4 / GA4
Google Search Console
Core Web Vitals / CRO
Ahrefs / SEMrush
GTM / Tag Management

DevOps

& Tools

Advanced
Git / GitHub
Docker / CI/CD
Cloudflare CDN / SSL
Linux Server Admin
Composer / CLI Tools
30+ Technologies · 6 Core Disciplines · 9+ Years Hands-On

Global Industries

Industries & Business Models

Delivering enterprise commerce, SEO, server optimization, and AI automation across 12+ industries — from D2C brands to large-scale B2B enterprises.

Trusted Signal

Client Feedback

A technology partner for organizations that value precision, premium execution, and measurable transformation.

Exceptional technical expertise combined with strong strategic thinking that delivered real business results.
Growth-Focused BusinessD2C Brand Engagement
Delivered scalable solutions that significantly improved our digital operations and team velocity.
Commerce Leadership TeamEnterprise Retail Group
A valuable technology partner for complex commerce initiatives with deep understanding of enterprise scale.
Enterprise ClientPlatform Modernization
Professional, innovative, and highly focused on results. One of the best technology engagements we have had.
Transformation StakeholderGlobal B2B Enterprise

Frequently Asked

Frequently Asked
Questions

Everything you need to know before we begin building your brand’s digital future. Can’t find your answer?

01

What platforms do you specialise in?

Magento 2 (Adobe Commerce), Shopify & Shopify Plus, WordPress & WooCommerce, and headless/custom Next.js commerce architectures. For cloud, I work primarily on AWS (EC2, RDS, S3, CloudFront) alongside Nginx/Apache server stacks with Redis, Varnish, and Cloudflare.

02

How long does a typical project take?

03

Do you work with international brands?

04

What does the engagement process look like?

05

Do you offer post-launch support?

06

Can you optimise an existing store rather than rebuild it?

07

How is AI integrated into your e-commerce work?

08

How do I get started?

Private Consultation

Let’s Build
What’s Next

Whether you’re scaling a commerce platform, implementing AI automation, or planning a transformation initiative — every engagement begins with a strategic conversation.

LocationVadodara, Gujarat, India