Mirasvit - Magento Extensions

A relevant product recommendation can still be a weak shopping answer. If a chatbot shows only the item name, the customer has to leave the conversation to check the image, discount, available options, and final offer.

That gap is easy to miss because the reply may look correct at first. The product matches the request, the category is right, and the budget seems close. But in a real store journey, people do not decide from a title alone.

A product card gives them the signals they need before they click: what the item looks like, whether there is a special offer, how the cost changes across variants, and whether the visible range matches what they expected. When chat removes those signals, it can make the buying path feel faster at first but less useful in practice.

This is especially important for configurable, grouped, and bundle products. A clean number in a chat reply may hide a cheaper variant, a “from/to” range, or a crossed-out regular amount next to the sale offer. The item can be relevant, while the commercial context still feels incomplete.

A better store assistant keeps enough buying context inside the conversation. It should help the customer understand the option clearly enough to decide whether to open it, compare it with another item, or move closer to purchase.

In our eChat extension for Magento 2, the chatbot can show product images, sale prices, price ranges, and strikethrough regular prices where relevant, so recommendations feel closer to the catalog experience customers already understand instead of a plain text suggestion.

Learn more: https://mirasvit.com/magento-2-gpt-chatbot.html

A lot of e-commerce work slows down not when something happens in the store, but right after it. The order is placed, the shopper shows intent, the catalog changes, and then the next step still has to be pushed through by hand. That is the common thread across our June module updates.

▶️ Less rebuilding after checkout when orders need to be merged, split, or corrected
▶️ Email automation that reacts closer to what shoppers actually did
▶️ Product feeds that move into Google Merchant Center and ChatGPT with fewer manual handoffs
▶️ Search that stays easier to control across storefronts and catalogs

And those four areas are only part of the release. The full roundup also covers practical changes across AI workflows, storefront tools, merchandising, content, and reporting.
You can find all of that in our blog post, with examples and setup notes throughout: https://mirasvit.com/blog/mirasvit-latest-updates-june-2026.html

AI shopping is already becoming a real product discovery channel. The more practical question now is what a Magento store should fix first if it wants products to be easier for ChatGPT to surface, compare, and recommend.

In our new article, we focus on the part many teams can actually act on right away:
🔹 Why Feed Quality Is Still the Most Practical Place to Start
🔹 Which Product Data Matters Most for ChatGPT Visibility
🔹 How Clearer Titles, Descriptions, Prices, Availability, Images, and Variants Improve Interpretation
🔹 How to Set Up a Magento 2 Product Feed Without Overengineering It
🔹 What to Refine First If You Want Better Visibility in AI-Driven Discovery
🔹 What to Watch in Analytics While This Channel Is Still Hard to Measure Perfectly

So this is not just a general piece about AI shopping. It is a practical guide to getting your catalog into better shape for the way ChatGPT reads, compares, and recommends products.

👉 https://mirasvit.com/blog/sell-products-chatgpt-magento-2-feed-strategy.html

Magento 2.4.9 has been released, and this update is worth a closer look before planning an upgrade.

Most of the changes are technical, but they can directly affect the upgrade path: PHP 8.2 is no longer supported, PHP 8.5 is added, system requirements have changed, TinyMCE is replaced with HugeRTE, Zend_Cache moves to Symfony Cache, and Adobe lists more than 500 fixes.

For Magento stores, this means one thing: before moving to 2.4.9, it is important to check the environment, extensions, custom code, search, cache, payments, and integrations on staging.

We collected the key changes, 2.4.8 vs 2.4.9 differences, supported versions, end-of-life dates, and upgrade checks in one article.

👉 https://mirasvit.com/blog/latest-version-of-magento.html

Sometimes your store already has the data needed to make work easier, but it does not always appear in the right place at the right moment. That is the idea behind our May module updates.

🔎 For catalog filtering: Layered Navigation can keep products out of filtered results when the selected option combination is unavailable. Shoppers see fewer product pages that look relevant but cannot lead to a purchase.

💬 For AI-assisted work: AI Copilot and AI Chatbot — eChat now have better Magento context for admin checks and customer replies. This helps with questions about orders, settings, prices, discounts, contacts, policies, delivery terms, and more.

🔌 For integrations: REST API support has expanded across more modules, so store data and actions can move into external systems, dashboards, portals, and internal workflows with less manual work.

The release also includes more improvements for returns, blog management, backend search, emails, exports, and other daily store tasks.

All details and setup notes are in the article: https://mirasvit.com/blog/mirasvit-latest-updates-may-2026.html

Chasing a high Page Speed score often tempts store owners to install an optimization tool and immediately flip every single switch to "on". But instead of a lightning-fast website, this approach frequently results in a broken layout or conflicting scripts that ruin the shopping experience.

Every e-commerce store has its own unique mix of custom themes and third-party extensions, meaning there is no universal configuration that works perfectly for everyone.

We often discuss this with merchants who ask us for the "ultimate" settings for their performance tools. Our most effective advice is to treat optimization as a step-by-step process rather than a magic button.

The safest way to speed up your storefront without breaking it is to establish a stable baseline first and then adjust from there.

To help you skip the guesswork, our team compiled a universal starting point based on hundreds of successful setups.

✅ Save the attached checklist for our recommended baseline settings covering JavaScript, CSS, and Images.
✅ Apply these core features first and run a performance test to establish your new baseline.
✅ Turn on advanced options one by one and check your storefront to see exactly which tweaks give you the best speed boost.

Finding the sweet spot between a fast site and a rich user experience takes a bit of testing, but it is the only way to ensure your site remains stable while getting faster.

Explore the module: https://mirasvit.com/magento-2-google-page-speed-optimizer.html

Around 50 million shopping-related queries a day now happen in ChatGPT, and Adobe reports 693.4% year-over-year growth in AI-driven traffic to retail sites. Add 31% higher conversion compared to other traffic sources, and AI shopping starts to look less like an experiment and more like a real ecommerce channel.

That does not mean every store is already seeing major results. But it does mean product discovery is starting to shift, and ecommerce teams have one more source of traffic and buying intent to watch seriously.

From your perspective, is this already becoming a real channel, or does it still feel too early to measure separately?

That does not mean every store is already seeing major results. But it does mean product discovery is starting to shift, and e-commerce teams have one more source of traffic and buying intent to watch seriously.

We’re wrapping up our series on practical AI Agent Integration (MCP) use cases, from simple prompts to more advanced workflows. Today’s example takes that one step further and shows how store data can flow into the tools people already use every day.

📌 Final case: turn a morning store check into a Slack update.
A familiar routine: someone reviews overnight orders, looks for unusual changes, checks stock warnings or failed payments, and then writes a short update for colleagues. The work matters, but it usually means switching between several screens and repeating the same information in Slack.

With MCP, that process can be much simpler. If your AI assistant is connected to both Magento and Slack, you can ask for a morning summary based on live store data and have it posted to the right channel.

Try a prompt like this: “Check last night’s orders, flag anything unusual, and post a short summary to our e-commerce ops Slack channel.”

Instead of pulling the numbers by hand and rewriting them for others, you get one connected workflow: the assistant reviews the data, highlights what needs attention, and sends the summary where it will actually be seen.

Slack is just one example. The same setup can also work with Google Sheets, Notion, Gmail, Google Docs, and other tools your team already uses.

Learn more: https://mirasvit.com/magento-2-mcp-ai-integration.html

Continuing our AI Agent Integration (MCP) series, here’s a scenario we see in almost every store with a loyalty program.

You may already have rewards, tiers, and rules in place. The hard part is getting clear answers without stitching data together by hand: Are points getting redeemed, or just piling up? Which customer groups are losing momentum, and where should you act first?

📌 Find where loyalty gets stuck (and what to fix next)
Try this prompt (based on customer and order history): “Show customers who placed an order in the last 90 days but have not ordered in 60 days. Group by customer group and total spend.”

If you use our Reward Points extension, you can go deeper and turn the insight into a practical next step: “Show customers with 500+ points who have not ordered in 60 days. Group by tier, and show whether they ever redeemed points. Then suggest one adjustment to the spending rules to increase redemptions, show the exact new settings, and wait for my approval before applying.”

Instead of guessing, you get a clear list of segments to prioritize next and a practical change to test.
Learn more about MCP: https://mirasvit.com/magento-2-mcp-ai-integration.html

April became our biggest monthly rollout so far: 35+ new features across 17 extensions.

A big part of this work makes everyday store tasks easier. AI Copilot can now handle fuller task flows, AI Assistant works with richer source material like web context, files, and images, and AI Agent Integration (MCP) can search docs and manuals while you work.

We also moved eChat into production use on the storefront, and expanded API coverage across more modules so reporting, content, email automation, support, and other workflows can connect more smoothly.

There is much more in the full roundup, and chances are high it includes improvements for a module you already use, so open the blog post to see all changes, examples, and setup paths:
https://mirasvit.com/blog/mirasvit-latest-updates-april-2026.html