AI-ready infrastructure.
AI systems only optimise for what they can read. That means clean identifiers, permissioned first-party data, well-formed product context and stable APIs.
What we build
We put in place first-party data pipelines, product context, consent, identity and API surfaces so bidding, recommendations and AI agents operate on your real business.
The outcome is infrastructure that compounds: every campaign, every model and every agent gets a little sharper because the inputs are correct.
Deliverables
- 01First-party data pipelines: event collection, identity stitching and warehouse activation to ad and CRM platforms.
- 02Consent, identity and permission layer aligned with GDPR, CCPA and platform policies.
- 03Product context feed for LLMs and AI agents: canonical descriptions, attributes, availability, embeddings-ready.
- 04Stable API surfaces for internal tools, agencies and future AI agents to read from, not scrape.
- 05Documentation and access control so engineering, marketing and partners can build on the same substrate.
Outcome
Bidding, personalisation and recommendation systems operating on your first-party truth, not the platform's guess.
AI agents and LLM-driven surfaces that describe your products correctly.
Infrastructure that gets sharper the more it is used, instead of decaying.
Where it starts
Every engagement starts with a Commerce Data Audit. It shows what to fix first for the largest profit impact.
Other services
- 01Measurement foundationGA4, server-side tracking, Consent Mode and event models that report the truth.
- 02Product data optimisationFeeds, taxonomy, attributes and schema so products are legible to every algorithm.
- 03Commercial intelligenceReporting and POAS models that make revenue, margin and channel contribution decision-ready.