AI for Retail Brands

Take the repetitive work out of retail, from triaging the customer service inbox and resolving order queries to reading the trading data, so growth doesn't mean headcount.

What it does

We build AI tools that clear the customer service queue and surface what's selling, so your team spends its time on customers and range, not tickets.

Customer service inbox triage

Every email, chat and marketplace message is tagged by intent and urgency, matched to its order and routed to the right queue, so agents start from the answer.

Order and returns resolution

Routine delivery, returns and refund queries answered from live order and courier data in your brand voice, with agents handling only the exceptions.

Trading and marketing insight

Sales, stock, ads, web analytics and CRM data in one daily view, with anomalies and opportunities called out and paid media built on what converts.

These are the problems we see most often in retail brands. Yours won't be identical, so every build starts with understanding how your business works, then shaping the solution around your systems, team and goals.

How we'd approach it

Discovery
We learn your business first: a half-day with ecommerce, service and operations teams mapping where time and margin leak.
Half day
First build
Often customer service inbox triage, connected to your helpdesk and order platform.
2–4 weeks
Scale
Extend into order resolution, trading insight and acquisition, run by your own team.
Ongoing

Proof it works.

Inbound requests read and raised end to end, saving 75% of staff time per job. The same pattern powers inbox triage.

Workflow AutomationSpecialist Services Provider

Automated Job Creation

Automated BigChange job creation from inbound emails and safeguard SLA compliance across their client base consisting of tens of different insurance clients.

75%Staff time saving per job

View case study →

Ready to transform your retail operations?

Not sure where AI fits yet? Tell us what's slowing your team down and we'll show you what's possible, whether it's on this page or not.

Let's Talk