Back home Assay Internal AI Optimisation

AI, data and optimisation

AI in the process. Experience in the decisions.

We use AI where it earns its keep: scoring real buyer sessions with 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 on the store Experience filters the call Internal team capability Less manual work Clearer decisions
How we work with AI Build / judge / team
01

In how we build

Assay, our session-scoring app, run in production on client stores - separating real buyers from noise so optimisation decisions start from what actually happens, not averages.

02

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.

03

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.

04

Product data enrichment

Workflows for titles, attributes, categorisation, search data, and merchandising inputs.

05

Reporting and support

Recurring reports from the right commerce data, plus triage that uses order and customer context.

06

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.

Audit

Map manual workflows, data gaps, repeated decisions, and where Assay or automation would actually help.

Prototype

Build a focused workflow with guardrails, review steps, and clear ownership.

Integrate

Connect Shopify, apps, docs, reporting, and internal team processes.

Improve

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.