AI & Data Engineering
We only work in three verticals — E-Commerce, Marketplaces & Directories, and Events. Choose yours below to see the specific use cases, workflows and proof points that apply to your operation.
E-Commerce Stores Served
Shopify · Magento · WooCommerce · X-Cart
Marketplace & Directory Builds
Automotive · Real Estate · B2B · Auction
Years of Platform Delivery
Since 2008 · AI-native for the last three
Choose Your Vertical
Every use case listed here has already been built and validated in your vertical — at production scale, for real clients. Pick your sector to see exactly what applies.
E-Commerce
From catalog management to AI pipelines processing hundreds of thousands of SKUs — this is MercuryMinds' cornerstone vertical. 1,000+ stores served across Shopify, Magento, WooCommerce and X-Cart since 2008.
Marketplaces & Directories
30+ marketplace builds across automotive, real estate, professional services, B2B directories, job boards and more. The platform experience is the AI layer's foundation — hgvtraders.com and century21-stmaarten.com are examples of that proof of build.
Events
EventoPulse — a platform we built for a client — connects 45 event data sources into a single intelligence layer. BoothMaven — a platform we built for a client — tracks exhibitor engagement at show level. These are specific proof of build, not concepts.
MercuryMinds offers AI and data engineering services across three verticals: E-Commerce (catalog management, programmatic SEO, pricing intelligence, order automation, customer intelligence), Marketplaces & Directories (supplier onboarding, catalog normalisation, automated valuation models, fraud detection), and Events (data aggregation from 45+ sources, sponsor intelligence, post-event lead activation, content repurposing). The team has been building on these platforms since 2008 — AI-native for the last three years.
MercuryMinds works exclusively in three industries: E-Commerce (1,000+ stores served on Shopify, Magento, WooCommerce and X-Cart), Marketplaces & Directories (30+ builds across automotive, real estate, B2B, auction and job board platforms), and Events (9 sub-pillars covering the full event lifecycle, with 175+ documented use cases). No other verticals are taken on — this focus means the integrations are deeper and the proof of prior work is specific.
AI data engineering means building the pipelines, agents and automation systems that connect data sources, platforms and workflows so data flows and triggers actions without human intervention. MercuryMinds builds this layer using Python, n8n, REST APIs and LLM agents — not generic SaaS tools that stop at the dashboard. The result is a system your team owns and can extend, not a subscription that breaks when your data changes.
MercuryMinds was founded in 2008 — that is 17+ years of commerce platform delivery. The team has been AI-native for the last three of those years, building production AI and data engineering systems on top of the platform expertise developed since 2008. The company serves clients in the USA, Canada, UK and Australia.
Yes. MercuryMinds has been building on Shopify, Magento, WooCommerce, X-Cart and WordPress since 2008 — across 1,000+ store builds. AI and data engineering pipelines are built directly on top of these platforms' APIs and data layers, not through middleware that adds latency and failure points. Integration work includes ERP connections, catalog automation, pricing intelligence feeds and order routing — all platform-native.
Ready to Go Deeper?
Tell us which vertical you operate in, what platform you're running, and where the biggest manual bottleneck is. That's enough to start a scoped conversation — no lengthy brief required.