eCommerce, AI
& Technology Consultant
I help businesses improve eCommerce performance, technology architecture, customer experience and AI adoption across Shopify, Magento, WooCommerce and modern commerce platforms.
The work is commerce strategy and architecture, performance and conversion and practical AI, for businesses deciding what to build, what to fix and what to leave alone.
Experience at a glance
Technology should help your business grow.
Slow websites, complicated checkouts, poor search, weak conversion rates, disconnected systems and inefficient processes can quietly affect revenue and customer experience.
- 01
Slow commerce experience
Pages that pass a lab score and still feel slow on a real phone, on a real network.
- 02
Low conversion
Traffic arrives and does not buy, and the analytics say where but not why.
- 03
Checkout friction
The last four steps lose the customers the first forty earned.
- 04
Technical SEO issues
Crawl budget spent on pages that should never have been indexed.
- 05
Poor search experience
On-site search that matches words instead of understanding what was asked.
- 06
ERP and CRM integration
Stock, price and order sync built as scripts, so every schema change is an outage.
- 07
Manual operations
Work that absorbs people who should be doing something the business cannot automate.
- 08
Weak analytics
Numbers nobody trusts, so decisions get made on the loudest opinion instead.
- 09
Scattered technology systems
Tools bought one problem at a time, now holding each other up.
The first step is understanding what is actually holding the business back.
Start a conversationFour areas, and the decisions inside them.
Most engagements start in one of these four and end up touching two. The platform decision and the growth work are rarely separable for long.
eCommerce strategy
The decision before the build. Which platform the business should be on, what the architecture has to carry, and what a migration is genuinely worth.
- Platform strategy
- Commerce architecture
- Technology planning
- Migration planning
- Performance strategy
- Digital commerce optimization
Commerce technology
The platforms themselves, and the integrations that decide whether they hold. Most commerce problems turn out to be integration problems wearing a storefront.
- Shopify and Shopify Plus
- Magento 2 and Adobe Commerce
- WooCommerce
- Headless commerce
- APIs and integrations
- ERP and CRM connectivity
Growth and experience
What happens after the platform is right. Speed, search, checkout and measurement, which is where revenue is quietly won or lost.
- Conversion optimization
- Technical SEO
- Core Web Vitals
- Analytics
- Search experience
- Checkout optimization
- Performance optimization
- Customer experience
AI and automation
Where AI earns its place in an operation, and where it does not. The useful question is which process it should touch, not which model to use.
- AI search
- AI agents
- LLM applications
- RAG systems
- Business automation
- Product discovery
- Customer support automation
- Content and catalog intelligence
Not sure which of these the problem sits in? Establishing that is what eCommerce consulting is for.
Book a 30-minute consultationTechnology decisions should make business sense.
Technology is not valuable simply because it is new.
The right technology should improve performance, reduce friction, simplify operations, improve customer experience and create measurable business value. Every decision on this page is judged against that, which is also why some of the advice is to leave a system alone.
- Business
- Technology
- eCommerce
- AI
- Growth
Real work. Real systems.
Six builds, and the decision inside each one. The interesting part of every one of these was the choice made before the code.
01Fashion · D2CHeadless fashion storefront
A fast-growing fashion brand whose storefront had to keep getting faster while the catalogue and traffic behind it kept moving.
- Approach
- Architecture + delivery
- Technology
- Magento 2 · Next.js · Varnish
02Horticulture · D2COnline plant store
An online plant store selling a product that is fragile, seasonal and hard to photograph, to customers who abandon at any friction in the buy.
- Approach
- Commerce build
- Technology
- Shopify · CRO
03Health & fitnessSports nutrition store
Sports nutrition is a category where authenticity is the purchase decision and delivery speed is the repeat one. The storefront has to carry both.
- Approach
- Platform + growth
- Technology
- Magento 2 · SEO
04B2B procurementProcurement and approvals platform
B2B buying is not a cart. It is a request, a quote, an approval chain and a budget holder, and a consumer checkout models none of that.
- Approach
- Systems architecture
- Technology
- Magento 2 · Workflows · API
05MarketplaceMulti-category marketplace
A wide multi-category catalogue, which is the point at which catalogue size stops being a number and starts being an architecture problem.
- Approach
- Architecture direction
- Technology
- Magento 2 multi-store · Redis
06ManufacturingEngineering manufacturer platform
An engineering manufacturer whose buyers research for months and never fill in a form, on a site that search could not read.
- Approach
- Technical SEO + build
- Technology
- WordPress · Schema · GA4
AI should solve business problems, not create more complexity.
From AI search and intelligent product discovery to agents, automation and business intelligence, I help businesses identify where AI can create practical value. The useful part of that work is usually deciding what it should not touch: a process nobody has defined does not get better by being automated, it gets confusing faster.
AI agents
Bounded work against real systems, with the tool boundary drawn on purpose.
LLM apps
Past the benchmark table: context, instruction following, cost at volume.
RAG
Retrieval that returns the right passage, and grounding you can audit.
Automation
The parts of an operation that absorb people who should be doing something else.
AI search
Discovery when the query is a sentence and the answer is a recommendation.
GEO
Being the answer a model recommends, not only the result that ranks.
Content systems
Catalogue enrichment that survives human review.
Business intelligence
Decisions carried by data instead of by the loudest opinion in the room.
Wondering whether an AI idea is worth building, or whether it is a process problem wearing a model?
Explore AI solutions →The stack, grouped by what it is for.
Tools are chosen against a problem, not collected. This is the working set, and which layer each one belongs to. The names that are linked have a page of their own.
Commerce
Frontend
- Next.js
- React
- Headless commerce
AI
Data and infrastructure
- GraphQL
- Node.js
- PHP
- MySQL
- Redis
- Varnish
- AWS
- Cloudflare
Analytics and growth
- GA4
- Technical SEO
- CRO
- Digital transformation
From problem to practical solution.
Five stages, in this order, on every engagement. Skipping the first one is the most expensive habit in this industry.
Audit
Understand the business, the technology and the customer experience as they are, not as the last deck described them.
Diagnose
Identify the technical and commercial issues actually affecting performance, and separate them from the ones that only look urgent.
Prioritize
Focus on the problems that matter most, in the order that pays for the next one.
Optimize
Implement practical improvements across commerce, technology and growth, and measure whether they moved anything.
Scale
Build systems that support long-term growth, so the next stage does not require starting again.
A technology consultant who thinks beyond technology.
The work sits where eCommerce, technology, AI, digital transformation and business growth meet, which in practice means the answer is rarely only technical. A slow storefront can be a caching problem or a merchandising one. A failing integration is usually a process that was never agreed.
The record runs from the first Magento role in 2016 through Shopify, headless commerce and, more recently, AI systems: catalogues in the hundreds of thousands of SKUs, multi-store platforms, B2B approval workflows and the operations behind them.
- Based in
- Vadodara, Gujarat, India
- Working hours
- IST · GMT+5:30
- Focus
- eCommerce, AI and technology strategy
Written for the people making the decision.
- Magento 2Magento 2 SEO: The Complete Technical Audit Guide 202612 Jun 2026 · 8 min read
- AI & AutomationAI for E-commerce in 2026: Real Use Cases That Actually Drive Revenue08 Jun 2026 · 11 min read
- Magento 2Magento 2 Checkout Optimization: Cut Cart Abandonment by 40%05 Jun 2026 · 9 min read
- SEO & CROCRO Strategies That Double E-commerce Conversion Rates28 May 2026 · 10 min read
- Magento 2Magento 2 PWA Studio: Building a Headless Storefront in 202620 May 2026 · 13 min read
- AWS & ServerAWS Server Setup for Magento 2: Production-Ready Guide15 May 2026 · 14 min read
What people ask before a first call.
The answers, in the words I would use on the call itself.
- 01
What does Yuvraj Raulji specialize in?
AI, eCommerce and digital transformation. The practical work spans commerce platforms, the APIs behind mobile apps, performance and cloud architecture, and AI systems such as agents, retrieval and automation.
- 02
What kind of AI work does Yuvraj Raulji explore?
LLM applications, agents with a deliberate tool boundary, retrieval augmented generation, MCP-based integrations, AI search, catalogue enrichment and process automation, with evaluation and human review around anything consequential.
- 03
Which eCommerce platforms does Yuvraj Raulji work with?
Magento 2 and Adobe Commerce, Shopify and Shopify Plus, WooCommerce on WordPress, and headless storefronts built over REST and GraphQL APIs.
- 04
How is AI changing eCommerce?
Four layers move first: discovery, where search interprets intent instead of matching keywords; merchandising, where recommendations use behaviour and catalogue context; catalogue operations, where enrichment is drafted by a model and reviewed by a person; and support, where grounded answers resolve order and product questions.
- 05
What is AI search?
AI search interprets intent rather than matching keywords. A full sentence, such as a gift request under a budget for a specific occasion, can return products, categories or guidance, because the query is read as a goal instead of a string.
- 06
When should a business consider AI automation?
When the process is repetitive and already documented, the data behind it is reliable, the cost of a mistake is measurable, and a person can review the output. Automating an undefined process only makes the confusion faster.
- 07
What is eCommerce consulting?
eCommerce consulting is independent advice on the commerce decisions a business cannot easily reverse: which platform to be on, what the architecture has to carry, where performance and conversion are actually being lost, and which of those to fix first. It is judgement about trade-offs rather than the delivery of a fixed package.
- 08
What is AI commerce?
AI commerce uses artificial intelligence across product discovery, search, recommendations, catalogue enrichment, customer support and purchasing workflows to create more relevant digital shopping experiences.
- 09
What is headless commerce?
Headless commerce separates the customer-facing frontend from the commerce backend through APIs, so a business can build a custom experience while keeping the underlying commerce platform.
- 10
Can an existing store be audited for technical SEO and conversion?
Yes, and it is the most common starting point. An audit covers crawlability and indexation, Core Web Vitals on real devices, checkout and search behaviour, analytics you can trust, and the architecture underneath all four. The output is a prioritised list of what is costing the most, not a list of everything that could be improved.
- 11
What is the difference between Shopify and Magento?
Shopify is hosted and favours speed of launch and operational simplicity, which suits D2C brands with a focused catalogue. Magento 2 and Adobe Commerce are open architectures that carry complex catalogues, multi-store setups, B2B pricing and approval rules, at the cost of more engineering ownership.
- 12
How does Yuvraj Raulji approach digital transformation?
Understand the business, map the process, choose technology against that process, build it, then measure. The technology decision comes fourth, not first.
- 13
What does a 30-minute consultation cover?
The constraint you are actually hitting, the architecture or platform decision behind it, what AI should and should not touch in your operation, and the next practical step.
- 14
How can someone work with Yuvraj Raulji?
Start a conversation by email at [email protected], or book a 30-minute consultation. Replies usually arrive within 24 hours on IST business days.
Have an eCommerce, AI or technology problem that needs a clear decision?
Bring the problem. Leave with the next practical step.
Describe the problem in a few lines and I will reply within 24 hours, IST business days. A first conversation is 30 minutes and costs nothing.
- [email protected]
- Phone
- +91 9898 334 731
- Website
- www.yuvrajraulji.com
- Based in
- Vadodara, Gujarat, India · IST · GMT+5:30