Everything a retail brand needs to build, run, and grow.
Four practices under one roof (commerce, intelligence, optimisation, and infrastructure), plus the transformation and operations work that holds it all together.
Four practices, one team, one accountable build.
Each practice is a sub-brand inside Niogin. They ship together, so you get the same team from storefront to data layer to infrastructure, instead of stitching vendors.
Commerce & app development
Shopify stores, headless storefronts, web platforms, iOS and Android apps. Built for retailers who need it to work on Monday morning, not just in a demo.
AI solutions
Practical AI for ecommerce and operations: search, recommendations, content, customer service, decision support. Measured against business outcomes, not benchmarks.
CRO, SEO & AIO
Conversion optimisation, search visibility, and answer-engine optimisation for the new LLM-driven discovery layer, plus the attribution and dashboards operators actually use.
Integrations & infrastructure
Connecting Shopify, ERP, POS, payment, loyalty, and warehouse systems so data flows where it should. Hosted, observable, and operated by us if you want.
From legacy to live
Replatforming to Shopify, migrating from spreadsheets to systems, and the change management to make it stick across stores and teams.
Run it for you
Managed operations for the platforms we build. SLAs that suit retail trading hours, monitoring that covers your peak weekends, not just office hours.
Every service, in detail.
Dive into any practice: each has its own page covering what we deliver, how we work, and the questions operators ask.
A sequence built for operational reality.
No multi-month discovery theatre. We move quickly to something running in production, then iterate against what your operators actually experience.
Discover
We map how your business actually runs (trading patterns, systems, the manual workarounds nobody documents) before proposing anything.
Architect
A pragmatic plan: what to build, what to integrate, what to retire. Sequenced so value lands early and risk stays contained.
Build
One team across storefront, app, data, AI, and infrastructure. Shipped in production increments you can see, not a big-bang reveal.
Operate
We run what we build, with SLAs tuned to retail trading hours and monitoring that covers your peak weekends, or hand over cleanly.
Not sure which practice you need?
Describe the problem in plain terms. We'll tell you whether it's a storefront, a data, an AI, or an operations job, or all four.