Personalization
Personalizes by purchase history, browse signals, and aesthetic preferences.
A personal shopper at every touchpoint.
Conversational shopping with personalized recommendations, bundle and outfit logic, and live inventory awareness across web, app, and voice.
Personalizes by purchase history, browse signals, and aesthetic preferences.
Builds full looks across categories with stock and price awareness.
Same brain across web, app, and voice with consistent telemetry.
Every solution comes with a calibrated eval suite, runbooks, and integration guides - so your team can take ownership from day one. Self-hosted, hybrid, or fully managed.
Align on data, integrations, and policy. Calibrate the eval golden set.
Wire integrations, configure tools, and stand up the runtime in your cloud.
Shadow on live traffic, ramp on evals, and ship to production with rollback.
Yes - the same agent runs over voice with sub-second TTL targets.
In 60 minutes with a senior engineer, you walk away with the gaps mapped, the agent worth building first, a risk read on what your team has already shipped, and a reference architecture - at zero cost, no obligation.
Where the work breaks down today and which gap an agent should close first - calibrated to your business.
Where engineering and ops hours actually go - and where forward-deployed delivery takes you next.
An honest view of what your team has already vibe-coded and what it needs to survive production.
Reference architecture for your runtime, evals, RAG, and integrations - vendor-agnostic.
Reserve a 60-minute working session with a senior AI engineer and practice lead.