Jhuns Commerce
Engineering™
Framework
An 8-phase engineering system for building, connecting, automating and scaling AI-powered commerce — from first store to global infrastructure.
01.1
Commerce Audit
Full technical and commercial audit — platform, speed, CVR, checkout friction, payment stack and SEO gaps.
01.2 · AI
AI Readiness Assessment
Gap analysis: where the store loses revenue that AI would recover — chat, recommendations, content and search.
01.3
Competitor Stack Analysis
What platforms, integrations and AI features competitors are running — and where your gaps are exploitable.
01.4
Platform Selection Report
Shopify vs WooCommerce vs Magento vs Salla/Zid: data-led recommendation matched to your market and goals.
01.5
Market & Region Intelligence
UK, EU and GCC market behaviour, platform dominance, payment expectations and AI search adoption by region.
01.6
Commerce Opportunity Map
Prioritised list of revenue opportunities across the full commerce stack: the client's actionable roadmap.
02.1
Commerce Architecture Blueprint
Platform stack, data model, integration map and headless vs platform-native decision with full technical rationale.
02.2
Conversion Flow Engineering
Every step from discovery to checkout to retention, engineered for minimum drop-off before any interface is built.
02.3
UX Systems Design
Figma-based component systems built for conversion performance, not aesthetics first.
02.4 · AI
AI Experience Layer Design
Where AI chat, recommendations and personalisation will live in the UX — designed before build, not bolted on after.
02.5 · AI
Product Catalog Architecture
SKU structure, taxonomy and attribute schema built to serve both human shoppers and AI shopping agents.
02.6
Mobile-First Commerce Design
Storefront experience engineered for the primary device your customers actually shop on.
03.1
Platform Engineering
Shopify / WooCommerce / Magento / Salla / Zid: custom theme and store engineering at stack level.
03.2
Headless Commerce Engineering
React/Next.js storefronts on Node.js + Medusa/Saleor/Shopify Hydrogen for full design freedom.
03.3
Custom Commerce Applications
B2B ordering portals, wholesale dashboards, multi-vendor marketplaces, subscription engines.
03.4
Payment & Checkout Engineering
Stripe, Tabby, Tamara, PayU, Razorpay, Moyasar — regional payment stacks for UK, EU, GCC and India.
03.5
API & Integration Engineering
ERP, CRM, WMS, 3PL, POS and marketplace API integrations connected to a single commerce backbone.
03.6
Security & Compliance Engineering
GDPR, PDPL, DPDP: data handling, consent infrastructure and security hardening.
04.1
Marketplace Connectivity
Amazon, Noon, eBay, Etsy: live inventory and order sync from a single source.
04.2 · AI
Social Commerce Integration
TikTok Shop, Instagram Shopping, Pinterest: product feed sync and in-platform checkout.
04.3 · AI
CRM & Customer Data Integration
Klaviyo, HubSpot, Salesforce: unified customer profiles feeding AI personalisation.
04.4 · AI
Analytics & Data Pipeline
GA4, Segment, Mixpanel: commerce event tracking built for AI decision-making.
04.5
WhatsApp Commerce Integration
WhatsApp Business API for order notifications, cart recovery and AI-assisted chat.
04.6 · AI
Agentic Commerce Readiness
Connecting product catalog and checkout to AI shopping agents: ChatGPT, Gemini, Perplexity.
05.1 · AI
AI Shopping Assistant
Catalog-trained AI chat for 24/7 product Q&A, order tracking, sizing help and intelligent upsell.
05.2 · AI
Abandoned Cart Automation
AI-triggered recovery sequences across email, SMS and WhatsApp with dynamic incentive logic.
05.3 · AI
AI Email & Flow Automation
Behaviour-triggered lifecycle flows with AI-generated copy variants tested continuously.
05.4 · AI
Dynamic Pricing Engine
AI-driven price adjustments based on demand signals, competitor pricing and inventory levels.
05.5 · AI
Inventory Demand Forecasting
ML-based stock planning reducing overstock and stockout for seasonal SKUs.
05.6 · AI
Returns & Support Automation
AI triage for support tickets, automated return authorisation and self-serve resolution flows.
06.1 · AI
Conversion Rate Optimisation
A/B testing infrastructure, heatmaps, funnel analysis and checkout friction removal.
06.2
Core Web Vitals Engineering
LCP, CLS, INP: technical performance tuning for conversion lift and search ranking.
06.3 · AI
AI Model Tuning
Retraining chat assistants and recommendation engines on new catalog data and evolving behavioural signals.
06.4 · AI
Search & Discovery Optimisation
On-site AI search, smart faceted navigation and zero-result handling.
06.5
Checkout Optimisation
Payment method mix, one-click options, address autofill, trust signals — every friction point removed.
06.6
Mobile Commerce Optimisation
Device-specific performance tuning — critical for GCC where 80%+ of traffic is mobile.
07.1 · AI
AI Search & GEO Optimisation
Structured data, schema and product feeds engineered for ChatGPT, Gemini and Perplexity discovery.
07.2
Technical SEO Engineering
Site architecture, crawlability, international SEO for multi-region UK/EU/GCC stores.
07.3 · AI
Performance Marketing Automation
Meta and Google campaigns with AI bid optimisation — revenue reporting, not vanity metrics.
07.4
TikTok Shop & Social Commerce
Shoppable video and TikTok Shop catalog management for fashion and FMCG brands.
07.5 · AI
Generative Content Pipeline
AI-produced product copy, ad creative and landing page variants at catalog scale — with human QA.
07.6
Loyalty & Retention Engineering
Points engines, referral mechanics and VIP tier programs built into the store stack.
08.1
Multi-Region Commerce
Multi-currency, multi-language, multi-tax storefronts: one backend, many markets simultaneously.
08.2
Multi-Channel Commerce
Unified commerce across web, mobile app, B2B portal and marketplace: single inventory source.
08.3
Shopify Plus / Enterprise Migration
Scaling from standard to Plus: scripting, flows, advanced B2B, multi-storefront.
08.4
Headless Scale Migration
Moving high-traffic stores from platform theme to headless Next.js for performance at scale.
08.5
B2B Commerce Engineering
Wholesale portals, account-based pricing, MOQ logic, trade credit and buyer approval workflows.
08.6 · AI
AI Personalisation at Scale
Moving from rule-based to fully ML-driven personalisation as data volume justifies it.
Start with Discover
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