Retail

AI for retailers who need
margins to make sense.

Pricing, inventory, and customer engagement: the variables you manage every day. With better data, less manual work, and automations that deploy in days.

The challenge

What Retail & E-commerce teams deal with, one page at a time.

01 of 04

Inventory is always slightly wrong

Too much of what doesn't move, not enough of what does. Overordering and stockouts cost money in opposite directions, both caused by inaccurate forecasting.

02 of 04

Pricing is set once and rarely reviewed

Competitor prices change daily. Demand shifts seasonally. Your prices stay static until someone has time to update them, which is never.

03 of 04

Abandoned carts have no follow-up system

Browse abandonment and basket drop-offs represent real intent that is never recovered. The revenue is there. The system to capture it is not.

04 of 04

Product content is a bottleneck

Every new SKU needs a description, attributes, and categorisation. At scale, the catalogue team is always behind the buying team.

  • Typical clients D2C brands · Multi-store retailers · Marketplaces · Wholesale-to-retail
  • Compliance PCI DSS · GDPR · Trading Standards · Consumer Rights Act
  • Engagement 7–10 days Quick Wins · 3+ weeks Bespoke
  • Key integrations Shopify · WooCommerce · Klaviyo · Mailchimp · Xero

What we build

Where AI earns its keep in retail.

Bespoke Build · 01 / 05

Demand Forecasting & Inventory Optimisation

ML models trained on your sales history and external signals: seasonality, promotions, supplier lead times. Stock levels tuned to actual demand, not estimates.

Shadow Ops · 02 / 05

Dynamic Pricing & Promotion Engine

Rules-based pricing automation that monitors competitor rates, margin thresholds, and demand signals. Prices updated on your schedule without manual intervention.

Shadow Ops · 03 / 05

Abandoned Cart & Browse Recovery

Automated multi-step recovery sequences triggered by abandonment signals, timed, personalised, and channel-appropriate. Stops at conversion, not at message limit.

Quick Wins · 04 / 05

Customer Segmentation & Targeting

Behavioural segmentation applied to your existing customer data. Segments fed into your email and advertising platforms without new infrastructure.

Quick Wins · 05 / 05

AI Product Descriptions & Content

Structured product data converted into SEO-optimised descriptions, attributes, and category copy at catalogue scale, reviewed before publishing.

Productised offerings · Retail

Browse what we’ve already built for Retail & E-commerce.

Each one is a productised offering with a fixed price, fast deployment, and a dedicated page. Click any card to see scope, integrations, and pricing.

Shadow Ops · 5 for Retail

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Quiet, ongoing back-office automation that runs while your team works. Click to browse the full set →

Find out where your retail business is leaving revenue on the table.

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