AI & Automation for E-Commerce Businesses
Automate customer service, personalise product discovery, and prepare your shop for the agentic commerce era — without rebuilding your entire stack.
Where online shops lose revenue and efficiency
Customer service at scale
First-response handling, order status queries, and return requests consume support team capacity that could go to complex, high-value cases.
Product catalogue data quality
Incomplete or inconsistent product descriptions, missing attributes, and poorly categorised items hurt both SEO and conversion rates.
Not being discoverable by AI shopping agents
AI agents like those built on Stripe's Agentic Commerce Protocol are increasingly making purchase decisions on behalf of consumers. Shops not optimised for machine-readable discovery will miss this channel entirely.
What we build for e-commerce businesses
AI customer service automation
LLM-powered first-response handling for order status, returns, FAQs, and product questions — resolving the majority of tickets without human intervention.
Product data enrichment pipeline
Automatically generate and improve product descriptions, extract missing attributes, and normalise taxonomy using AI — across thousands of SKUs.
Agentic Commerce readiness
Structured product data, machine-readable APIs, and AI-native discovery endpoints that make your catalogue accessible to AI shopping agents as the channel matures.
Custom storefront & performance optimisation
Next.js storefronts built for sub-second load times, perfect Lighthouse scores, and SEO architecture that ranks — connected to Shopify, WooCommerce, or a headless backend.
The agentic commerce shift is already happening
Stripe's Agentic Commerce Protocol and tools like Perplexity Shopping are changing how consumers discover and buy products. Shops that structure their data now will have a significant advantage. We've written about this in detail in our Agentic Commerce post.
Related Services
Talk to us about your shop's automation needs
Book a free 30-minute call. We'll assess your current stack and identify the highest-impact automation opportunities.
