Practice areasAI & Ecommerce Engineering
AI put to work in ecommerce and retail operations: product data, pricing, supplier reporting and customer experience. Built for production, checked before it goes live, and honest about where AI is not the right tool.
What's included
Six service lines, from AI features in daily operations to the software and integrations around them.
Product attributes and descriptions generated from supplier data, such as specifications and usage details. Every pipeline is tested against real examples and content is held for human review before it reaches the live site.
Buyers upload a supplier price list as PDF, Excel or CSV. AI matches each row to the right product and pre-fills new cost and retail prices; anything uncertain stays blank and the buyer reviews it before any price change is created.
Internal tools for managing ecommerce end to end, connected to the systems the business already runs.
Reporting portals built on your reporting data, giving suppliers the view they need and nothing more.
Software built with AI coding tools, checked by automated tests and review, so changes ship quickly and safely.
Working with commercial, data and leadership teams to find the manual work worth automating, and saying plainly where AI is not the right tool.
How we work
AI features are measured against real examples before and after every change; regressions are fixed before they ship.
Where a mistake would cost money, a human reviews AI output before it takes effect.
If a file always comes in the same layout, we read it directly. It is exact, instant and costs nothing to run. AI is kept for the messy files.
Logging and observability so AI and pipeline failures show up, instead of failing silently.
Next step
Prefer email? info@greyandoak.co.za
