Sep 2025
0M+
weekly users
OpenAI launches Instant Checkout in ChatGPT
Be the brand AI agents recommend first
Google and OpenAI agents already shop for 700 million consumers. We help Australian retailers win that recommendation, starting with your catalogue.
Agentic shopping isn’t coming — it’s here
Jan 2026
UCP
protocol launched
GoogleWalmartTargetShopify
Google launches Universal Commerce Protocol
2026
0%
of retail executives
say AI will weaken brand loyalty (Deloitte)
2030
$3–5T
agentic commerce
McKinsey projects $3–5 trillion globally
Retailers who aren’t agentic-ready risk falling behind.
The ones who are? They’re capturing market share right now.
the shift - Your customers aren’t shopping anymore — their AI agents are
When a customer asks ChatGPT to “find me the best running shoes under $200”, the AI agent scans product catalogues, compares attributes, and recommends — all without visiting your website. If your catalogue data is incomplete, inconsistent, or stale, your products won’t be recommended. You become invisible.
$0T
in commerce AI agents could mediate by 2030
Disintermediation
AI agents become the storefront. Retailers lose direct customer relationships, loyalty programme activation, and the data that powers personalisation.
0%
YoY growth in AI-driven e-commerce traffic
The data quality gap
Most retail catalogues have missing descriptions, outdated inventory, inconsistent taxonomy, and no trend-aligned content. AI agents can’t recommend what they can’t understand.
0%
of retail executives say AI will weaken brand loyalty
The race is on
Your competitors are already preparing their catalogues for Google’s Universal Commerce Protocol. Every day without action is market share lost to retailers with richer product data.
We knew agentic shopping was coming but had no idea where to start. Embeddings audited our entire product catalogue in days and showed us exactly where we were falling short — missing descriptions, stale inventory data, zero trend alignment. Their enrichment pipeline transformed our catalogue from a static spreadsheet into a living, AI-ready asset.
Australian retail executive
Head of Digital, National Retailer
services - Your catalogue is your competitive moat — we make it unassailable
From audit to real-time optimisation, our four services transform your product catalogue into an asset AI agents can read, trust, and recommend. No other consultancy in Australia has this combination of LLM pipeline expertise and data engineering capability.
BeforeIncomplete
Blue Dress
GTIN
A blue dress for women.
colour?silhouette?occasion?material?
Last updated: 8 months ago
1Audit
2Freshness
3Enrichment
4Optimisation
AfterAgentic-ready
Women’s A-Line Midi Dress — Sapphire Blue, Taylor Swift-inspired
GTIN0614141123456
Flattering A-line midi dress in sapphire blue crepe. Features a fitted bodice with subtle darting, a flowing midi-length skirt, and concealed side zip. Inspired by the blue dress trend popularised by Taylor Swift. Perfect for weddings, racing carnivals, and cocktail events. Machine washable. Available in sizes 6–18.
Sapphire BlueA-LineMidiWedding GuestCrepeSizes 6–18
Trending: Taylor Swift blue dress
Last updated: 2 hours ago
1
catalogue audit
See every gap before your competitors exploit it
We analyse your entire product catalogue against Google Merchant Centre specifications and agentic commerce standards. The audit identifies missing descriptions, malformed GTINs, inconsistent taxonomy, and thin data — then produces a prioritised remediation plan ranked by revenue impact.
2
catalogue freshness
Fresh data keeps you in the recommendation set
AI agents penalise outdated catalogues. We build real-time integrations from your ERP, POS, and inventory systems so stock levels, pricing, and product status are always current. A fresh catalogue means your products stay in the recommendation set.
3
catalogue enrichment
From thin listings to rich, AI-readable content
Our LLM pipelines transform sparse product data into rich, brand-aligned descriptions, categories, and attributes. Thousands of SKUs enriched in hours, not months. If an AI agent can’t understand your product data, your products don’t exist in agentic commerce.
4
contextual optimisation
A living catalogue that captures demand as it shifts
We connect your catalogue to live trend signals — Google Trends, social platforms, news cycles — so product descriptions evolve with what consumers are searching for right now. When cultural moments create demand spikes, your products are positioned to capture that intent before competitors.
Be the brand AI agents recommend first
The retailers preparing their catalogues today are building advantages that compound tomorrow.
Contact us