Articles by Mistri Engineering Team

Magento has no native subscription engine, so you choose between an extension, a payment provider billing product or an external platform. This guide covers models, dunning requirements and the trade-offs.

AI agents now research and sometimes buy for shoppers. Here is how agentic commerce works, what is actually live as of November 2026, and a checklist to get your store ready.

Loyalty programs pay off when they change a measurable behavior and their cost is modeled first. Here are the program types, the breakage math, and Adobe Commerce reward points compared with third-party platforms.

A PIM pays off when product data comes from many people, sources or channels. Use the scorecard and attribute ownership table to plan a Magento PIM integration.

Rule-based vs AI dynamic pricing, the guardrails that keep it safe (floors, MAP, fairness and disclosure rules), and what Adobe Commerce price rules can and cannot do.

Orders out, stock and prices in. This guide covers data ownership, a sync direction and frequency table, integration patterns and how to judge an ERP connector.

The three ways to add point of sale to Magento, the selection criteria that matter (offline mode, inventory sync, payments, hardware) and the integration patterns behind each.

The licence or build price is the small cost; years of upgrades are the big one. Use this framework and two checklists to decide whether to build or buy a Magento extension.

A clear guide to Magento inventory management: how MSI sources, stocks, salable quantity and reservations work, how orders pick a warehouse, and when to connect a WMS.

GraphQL for storefronts, REST for integrations and bulk work. This guide includes a use-case matrix, caching rules and the mistakes that slow Magento stores down.

How to plan a Magento CRM integration with Salesforce, HubSpot or Dynamics 365, with a data map for customers, orders, carts and consent and a clear connector vs custom decision guide.

API Mesh puts Adobe Commerce, your PIM and your CMS behind one GraphQL endpoint. This guide covers sources, caching rules, edge limits and when a mesh is the wrong tool.