Notes on decisioning, done in the open
Field notes on next-best-action, real-time recommendations, and privacy-first personalization — grounded in how the open-source platform actually works.
One-click personalized recommendations for Shopify — and how it works under the hood
Install one app and your Shopify store gets a self-provisioning catalog, per-customer behavioral sync, and an adaptive model that ranks offers for every shopper across product, cart, and thank-you surfaces — no PII required.
What is Next-Best-Action? A practical guide to real-time decisioning
Next-Best-Action decides the single best thing to show a customer at each touchpoint. Here is how a real-time decisioning pipeline works — eligibility, fit filters, contact policies, match scoring, and ranking — grounded in an open-source implementation.
How to personalize a storefront without touching customer PII
You do not need names, emails, or addresses to personalize well. Behavioral tiers derived from order history — spend, recency, frequency — are often as predictive for ranking, and they sidestep most privacy and compliance overhead.