Online Stores That Sell Harder With AI Inside
AI-generated product descriptions that keep pace with your catalogue. Recommendations that actually convert. Customer support that never sleeps. Merchandising decisions driven by what your data says, not what a spreadsheet assumes.
Indicative scope
- function
- AI-powered storefront
- volume
- eight-week build
- region
- ZA-hosted
Indicative scope. Real engagement values confirmed at proposal.
What We Deliver
Ecommerce has always been a conversion game. AI changes the economics of that game. Product descriptions at scale, recommendations trained on your data, support agents that handle eighty percent of inbound tickets, and merchandising powered by what customers actually browse and buy. We build the site, wire the AI, and run the analytics that show whether it is working.
Everything Included
Product Copy at Catalogue Scale
AI drafts descriptions for every SKU, reviewed by humans, refreshed as inventory changes.
Recommendations That Convert
Personalised recommendations trained on your transaction and browse data, not a generic template.
Support Agents That Handle the Load
AI chat and email agents that answer order status, returns, and product questions around the clock.
Merchandising From the Data
Dashboards that surface what is moving, what is stuck, and what to promote. AI does the pattern-finding your merchandiser does not have time for.
Search That Understands
Natural-language search that handles typos, synonyms, and questions like customers actually ask them.
Integrated Stack
Works with Shopify, WooCommerce, Magento, and custom platforms. POPIA-aligned throughout.
What Success Looks Like
Every engagement is defined by the outcomes we commit to. Work output matters only to the extent that those outcomes land.
- An ecommerce site with AI running in product, cart, support, and merchandising
- Product descriptions kept fresh at catalogue scale
- Recommendations measurably lifting average order value
- Support tickets handled automatically at higher volume than before
- A merchandising dashboard your team actually uses
Our Process
Store Audit
Current platform, catalogue structure, conversion funnel, and AI-readiness reviewed.
Build or Rebuild
Either a new store on the right platform, or AI layered into your existing one.
Catalogue AI
Product descriptions drafted and reviewed for every SKU in scope. Pipelines for ongoing updates.
Recommendations
Recommendation engine trained on your data and wired into product, cart, and email.
Support and Search
AI support agent trained on your policies and catalogue. AI-augmented search deployed.
Merchandising Dashboard
Analytics layer surfacing the AI-driven insights for your merchandising team.
Your AI Ecommerce questions, answered
STATUS // RESPONSE WITHIN ONE BUSINESS DAY
Tell us the function.
Share the cost line you want to address. We will come back inside one business day with a scoped proposal.
Across the practice
Other ways we replace expensive work
Core AI