WooCommerce 10.6 stops accepting per_page=0 on Store API product and review requests, so those calls start returning 400 errors. How to move to batched requests, and the rest_endpoints filter to fall back on if you cannot refactor yet.
Slow reporting on WooCommerce is usually a schema problem, not a hardware problem. This covers custom analytical tables, the Inmon and Kimball warehouse schools, lakehouses, and where event-driven architecture fits a WordPress stack.
A plugin showing a green arrow is not proof that a variant won. This post walks through a 2×2 chi-square test in PHP: expected counts, degrees of freedom, the 3.84 cutoff at p=0.05, and the four assumptions that break the result.
WooCommerce 10.6 adds loading=”lazy” to the Product Image block by default, which hurts LCP when the image sits above the fold. The new woocommerce_product_image_loading_attr filter lets you force eager loading on the images that need it.
WooCommerce core devs Greg Bell and Lance Willet are running an open office hours session on testing on March 4, 2026. What to test before you ship, and what to ask them on Slack.
From April 14, WooCommerce 10.7 ships with HPOS sync on read disabled. Custom code that edits orders through update_post_meta or raw SQL stops reaching the HPOS tables, so it needs moving to the CRUD API. There is a filter to buy time, but only that.
WooCommerce 10.5 moves the analytics import onto a schedule and processes orders in batches of 100. Notes on the new experimental caching flags, the wp_options autoload update, and what I would test on staging before shipping it.
Most WooCommerce stores do not need a deep learning recommender. Catalog stability and how subjective taste is in your category decide the architecture, and GBDTs with cached scores usually win.
The first WooCommerce Checkout Summit runs in Palermo in April 2026. One track, no recorded sessions, and James Kemp from Woo talking through the architectural calls behind the Block-based checkout.
Black-box models can tell you a customer will probably buy, but not what pushed them there. What explainable AI adds instead: readable feature importance, SHAP and LIME, and a small WooCommerce snippet that logs the rationale on the order.