These four things happen inside ecommerce store backends every day, and they usually go unnoticed:
For most sellers, the real source of anxiety isn't watching one number drop. It's the sense that the business is quietly leaking opportunity somewhere, without knowing where to check first. Athena skills for ecommerce store analytics are built to answer exactly that question, turning operating knowledge drawn from hundreds of thousands of independent stores into tools any seller can use directly, covering checkout conversion, customer segmentation, product bundling, and on-site search.
Each of these four skills targets a spot in store operations that's easy to overlook but worth examining closely. Here's how each one works.
By the time a customer has added something to their cart, or even reached checkout, the order is one step away from closing. But the closer someone gets to paying, the harder it is to tell from surface-level numbers alone why they walked away. Maybe the address form asks for too much. Maybe a commonly used payment method isn't offered. Maybe the free-shipping threshold or an abandoned-cart email just isn't doing its job. None of these settings raise a flag on their own, but each one adds friction right before a customer pays.
Selecting the Checkout Conversion Diagnosis skill in Athena runs a detailed check against your store's own checkout funnel and industry benchmarks, covering:
Each recommendation explains its reasoning, whether that's how your setup differs from common industry practice, or which payment methods tend to perform better in your main markets. Athena can take you straight to the backend page that needs adjusting, and nothing changes until you confirm it.
If the problem isn't confined to checkout, Athena can go further, comparing performance across channels, countries, devices, and the full purchase funnel over different time periods to pin down what's actually driving a shift in overall conversion. This is the Conversion Attribution Diagnosis capability covered previously, now folded into the Skills library.
An incomplete order stops being just a dip on a chart. Athena puts it back into the customer's actual buying journey and helps you find a way to fix it.
Some customers just placed their first order. Others have reordered many times. Some spent heavily at one point and haven't been back since. Total order volume hides all of these differences. Running a store isn't only about waiting for the next order from a stranger. The people who've already chosen your brand tend to do more for long-term growth than any new visitor.
The Customer Segmentation Analysis skill looks at purchase timing, frequency, and total spend to sort customers into groups: new buyers, repeat buyers, high-value customers, and customers at risk of churning. It then factors in audience characteristics to suggest win-back and repeat-purchase tactics, and walks you through building customer segments and setting up targeted offers for each one.
Once a bestseller is bringing in traffic and orders, what should you pair it with? Which item makes the best gift-with-purchase? The Product Bundling Analysis skill traces the customer's actual shopping path, looking at what most people view or add to cart after browsing a specific main product, to surface real connections between items based on genuine behavior, not guesswork. For a clothing store, if a particular top and pair of pants show a clear pattern of selling together, Athena can create a "buy X, get Y" promotion in one click, turning that finding directly into a live discount campaign.
The on-site search bar is where a customer tells you exactly what they want. When a search returns no results, or returns results nobody clicks or adds to cart, that buying intent quietly disappears. Those failed searches are actually some of the most honest signals you'll get about what to sell.
The Search Term Analysis skill shows you what customers are searching for on your store, which terms return no matching products, and how searches convert into clicks and cart adds afterward. For an auto parts store, Athena might find that "seat cushion" related terms get searched frequently but never match a product, a sign it's worth adding that item to catch search traffic that's already showing up. This data can point sellers toward a product that isn't listed yet, a keyword worth targeting, or a mismatch between what people are searching for and what's actually in stock.
Orders that never happened still leave a trace. Every word a customer types into that search bar is telling your store what they still want to buy from you. Sometimes, the next product worth testing is already hiding in that data.
Spotting these signals is only half the job. What matters more is turning them into operational actions you can actually carry out, and that's where Athena differs from a typical ecommerce AI assistant.
Most AI tools in ecommerce still split their capabilities across separate chat answers, reports, and single-purpose features, leaving the seller to break down the problem themselves, then go find the right tool and work through it step by step. Athena has moved past that. It calls on the relevant skill to bring your store's data, proven operating methods, and backend tools together into a single task, moving from spotting a problem, to forming a judgment, to recommending the next step, and continuing to execute in the scenarios it supports. What a seller gets isn't just an answer. It's a working capability they can call on directly, one that keeps carrying out the operational work itself.
For ecomemrce sellers owning an independent online store, this shift isn't just about having a few more efficient analytics tools. When operating methods get packaged into skills an AI agent can call on directly, and applied to real operating tasks over and over, professional-level operating expertise becomes something a store can draw on continuously, not something reserved for teams with deep experience.
That means proven methods can reach stores regardless of team size or how much talent they've been able to hire. Small and mid-sized teams get to build on the same accumulated industry knowledge as larger sellers, and make more informed decisions in a global market. As this kind of capability spreads, it raises the baseline for what it takes to compete as an independent store, pushing cross-border ecommerce into a new stage built on operating intelligence. Whatever AI agents change, it eventually becomes part of how every independent store operates.
Log into your Shoplazza dashboard, open Athena, and just tell her the question you actually want answered right now, something like "check what else I can optimize on my checkout page" or "which customers haven't reordered in the last 90 days." More skills covering product content, ecommerce creative, and store operations are already available in Athena.
Most ecommerce AI tools split their capabilities across chat answers, reports, and separate single-purpose features, leaving the seller to piece together next steps. Athena calls on specific skills, like checkout diagnosis or customer segmentation, to pull your actual store data, form a judgment, and take you to the exact backend setting that needs a change, with your confirmation before anything is adjusted.
It checks your checkout page layout, address autofill accuracy, payment method coverage and display order, free-shipping thresholds, and abandoned-cart recovery emails against your own checkout funnel and industry benchmarks. If the issue isn't limited to checkout, it can also compare performance across channels, countries, devices, and the full purchase funnel to locate broader conversion issues.
It looks at purchase timing, order frequency, and total spend to sort customers into groups such as new buyers, repeat buyers, high-value customers, and customers at risk of churning, then factors in audience characteristics to suggest win-back offers and repeat-purchase tactics for each group.
Yes. Once Product Bundling Analysis identifies items that tend to sell together based on real browsing and cart behavior, Athena can create a "buy X, get Y" promotion in one click, turning that finding directly into a live discount campaign rather than just a report.
Athena is free to use and doesn't require any installation. You can access it directly from your Shoplazza dashboard and ask it a specific question, like which customers haven't reordered in the last 90 days, to try one of its skills right away.