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Expertise

Anyone can publish a service list. The useful half is knowing when not to reach for something, so every page below carries the case against itself alongside the case for it.

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By technology

Every page below answers the same four questions about one technology: what it is, who it suits, where it stops, and how AI extends it. They overlap on purpose, because a replatforming decision is an architecture question before it is a Magento question, and an AI project is usually a process question before it is a model question.

  • Shopify

    Shopify and Shopify Plus: theme architecture, checkout, app consolidation and the AI that pays on a D2C catalogue. Where it fits, and where it stops.

    Think twice when

    Quote-driven pricing, negotiated terms or multi-level approvals.

  • Magento

    Magento 2 and Adobe Commerce: multi-store catalogues at 500K+ SKUs, B2B approval workflows, performance engineering and migrations run without going offline.

    Think twice when

    A single store with a few hundred SKUs and no custom workflow.

  • WooCommerce

    WooCommerce builds and performance work: bespoke themes, plugin development, checkout and catalogue customisation, and the hardening these stacks lack.

    Think twice when

    Variant complexity, multi-currency or B2B pricing rules.

  • WordPress

    WordPress builds, performance and infrastructure: bespoke themes, custom plugins, a real content model, hardening, and production hosting on AWS.

    Think twice when

    Commerce is the business rather than a section of the site.

  • Headless Commerce

    Headless and composable commerce on Next.js, GraphQL and the Storefront API. When decoupling pays, when it only adds a deployment surface, and how.

    Think twice when

    The real request is a faster site, which is usually a theme project.

  • AI Commerce

    AI for eCommerce: catalogue enrichment, semantic search and operations automation, wired into platforms carrying real order volume rather than left as demos.

    Think twice when

    A process nobody has fixed, where automation would make it permanent.

  • AI Search

    AI search and Generative Engine Optimization: semantic on-site search, and being cited by AI answer engines. What works, and what is still speculation.

    Think twice when

    A catalogue of a few dozen products, where good navigation beats any search engine.

  • AI Automation

    Workflow and AI automation: agents, LLMs, RAG and MCP applied to quotes, approvals and reconciliation, with human checkpoints where the output touches money.

    Think twice when

    A process that should be removed rather than automated.

  • Digital Transformation

    Modernising legacy commerce stacks into API-first systems: process redesign, phased migration and integration boundaries, sequenced so trading continues.

    Think twice when

    The current system works and the constraint is commercial.

  • Next.js

    Next.js for commerce storefronts: rendering strategy, caching and revalidation, the GraphQL boundary, Core Web Vitals and SEO on Shopify and Magento.

    Think twice when

    A slow theme, which is usually cheaper to fix than to replace.

  • Mixpanel

    Mixpanel consulting and implementation: tracking plan and event schema, funnels and retention, identity resolution, audits of an existing setup, and governance.

    Think twice when

    Traffic and acquisition reporting, which GA4 does well and free.

eCommerce consulting

eCommerce Consulting

Platform selectionTechnical due diligenceIntegration designPhasing

Most of the expensive mistakes in commerce are made in the first three weeks, before anyone writes code. Platform chosen before the sales process is understood, integrations scoped as an afterthought, a migration sequenced so the riskiest work lands in peak season.

Wrong choice when

If the decision is already made and funded, and the constraint is delivery capacity rather than direction, consulting is an expensive way to buy hands. Hire the build instead.

Ongoing ownership

Website Management

Deployment pipelinesStaging paritySecurity patchingUptime and error monitoring

Most website problems are not technical failures. They are ownership failures: nobody decides when to update, nobody watches the thing that fails quietly, and the person who knows how to deploy is on holiday. Management is the arrangement that makes those decisions somebody's job before they become an incident.

Wrong choice when

This is the wrong engagement when everything runs on one platform and the work is genuinely that platform's upkeep. A single Magento store needs a patch cadence and a rehearsal environment, not an estate-level arrangement, and the platform maintenance pages describe that better and cost less. It is also wrong where there is an internal team that already has the discipline and simply needs capacity, which is a hiring question rather than a consulting one.

Store operations

eCommerce Management

Catalogue and attribute modellingMerchandising and collectionsPricing and promotion rulesStock and inventory accuracy

Most stores are launched and then run by whoever has time. Catalogue quality drifts, promotions are set up by hand under deadline, stock accuracy is maintained by someone checking twice, and the reporting nobody trusts gets ignored. eCommerce management is treating the store as a trading operation with a rhythm, rather than as a project that finished.

Wrong choice when

This is the wrong engagement while the store is still being built, or while the platform itself is the constraint. A catalogue that cannot be merchandised because the attribute model is wrong needs the data model fixed first, and no amount of operational rhythm compensates for a platform the business has genuinely outgrown. It is also wrong for a business that wants campaigns run: that is marketing, and it is a different discipline with different people.

That is usually the right starting position. Most engagements begin as one of these and turn out to be another, which is what the first conversation is for.

About Yuvraj Raulji