AI for Retail
AI that moves stock, not just marketing copy
Retail margins are thin and the operational load is relentless. Stock counts, supplier chasing, product descriptions, customer questions, returns. Most AI pitches skip straight to fancy recommendation engines. This one focuses on the unglamorous middle. The daily work that eats your team's hours.
Every engagement is shaped around how your retail business actually runs today. The sections below are the kinds of things we cover and the kinds of results we aim for. Not a fixed menu. We pick the right mix with you.
Sound familiar?
- Stockouts and overstocks are both common because reordering is still a gut-feel decision
- Writing product descriptions and SEO copy is a bottleneck every time a new line lands
- Customer service inbox is full of "where's my order?" and sizing questions
- Returns processing is a manual paper trail that loses money every time
- You have data in your EPOS, Shopify, and accounting tool — but no single view of what's working
What we could automate for you
A real engagement usually picks a handful of these and adapts each one to how your team already works. It is not a fixed deliverables list. Treat it as the menu of workflows we know how to tackle for retail.
- AI demand forecasting tied into your EPOS and supplier lead times
- Automated product description and SEO copy generation from supplier feeds
- Customer service AI agent handling order status, sizing, and returns questions
- Returns automation: intake form, routing, and refund workflow
- Unified sales and stock dashboard across online and in-store channels
- Weekly AI-generated trading summary for the leadership team
Got something on this list you already solved, or something off it that's been bugging you for years? That's the conversation we want to have on the call.
Results you could see
Illustrative numbers from similar engagements, not promises. Every business is set up differently. The real outcome depends on where you are today and which of the above we work on first.
Stockouts in the first quarter after deploying AI demand forecasting tied to supplier lead times.
Product listings going live — description, SEO, and image alt text generated from supplier data in minutes.
Of customer service tickets resolved without human touch after deploying the order status and sizing agent.
How it works
Discovery
We map your current workflows, put numbers on the pain, and agree the success metrics before anything is built.
Build
We design, build, and test the automation inside your existing stack. Regular demos along the way so nothing is a surprise.
Embed
We train your team, hand over documentation, and stay on hand until the new way of working sticks.
Book a free consultation to discuss pricing
30 minutes on a call. We talk through what the AI for Retail work would look like for your specific setup, the timeline, and what it would cost. Every engagement is scoped and priced against the actual work. The number you get is the number for your situation.