In how we build
Assay, our commercial evidence layer for Shopify, runs with design-partner stores - so optimisation decisions start from trustworthy demand, not vanity traffic.
AI, data and optimisation
AI in the process. Experience in the decisions.
We use AI where it earns its keep: commercial evidence from Assay, drafting options our team still judges, and building internal capability so your people spend less time on reporting, product data, support, and ops busywork.
Three places it shows up
In how we build, how we judge, and what your team can run day to day.
Assay with design partners Experience filters the call Internal team capability Less manual work Clearer decisions
How we work with AI Build / judge / team
In how we judge
AI proposes; nearly 900 projects of experience decides. Every recommendation is filtered through what we have watched work - and fail - since 2011.
In your team
The next advantage in ecommerce is internal: teams using AI to optimise reporting, product data, support and operations. We build that capability into the businesses we work with.
Product data enrichment
Workflows for titles, attributes, categorisation, search data, and merchandising inputs.
Reporting and support
Recurring reports from the right commerce data, plus triage that uses order and customer context.
Internal tools
Lightweight admin tools that connect Shopify, apps, docs, and team processes - with a human still in the loop.
How we start
Find the data gaps, decisions, and repetitive work first.
Map manual workflows, data gaps, repeated decisions, and where Assay or automation would actually help.
Build a focused workflow with guardrails, review steps, and clear ownership.
Connect Shopify, apps, docs, reporting, and internal team processes.
Measure time saved, output quality, and where the next useful step is - not the next novelty.
AI and data
Want to know where AI could actually help your store or team?
Send the workflow, data gap, team bottleneck, or optimisation problem. We will tell you what is worth improving.