Find catalog issues before shoppers do
Review a product range for mismatched titles, variants, descriptions, and stock signals, then approve only the corrections you want live.
E-commerce Management
Manage a Shopify store with an AI employee that reviews catalog, inventory, orders, and market evidence, then asks you before every live store change. Other e-commerce connections are catalog-listed and stay review-first while their provider actions are verified.
A store can look healthy while its catalog drifts, a single variant runs low, or a competitor changes the offer that customers compare you against. E-commerce Management gives you a connected employee to read the actual store state, find the meaningful differences in the market, and turn that work into a clear recommendation. It is built for the owner who wants help running the store without losing control of what reaches customers.
Shopify is the first guided store-management path. The current provider action catalog includes product, inventory, order, customer, fulfilment, and collection operations, so the employee can inspect the facts behind a recommendation instead of asking you to copy them into chat. Every Shopify store change pauses for your approval, including a new or unfamiliar provider action. Research and read-only review can move without turning a vague request into an unattended edit.
The wider e-commerce catalog currently lists ASIN Data API, Baselinker, Bestbuy, Booqable, Boxhero, Cloudcart, Instacart, Jungle Scout, Loyverse, RepairShopr, Retailed, Seat Geek, Shopify, Storeganise, Storerocket, and Ticketmaster. They are visible connections, not a promise that every provider has the same store workflow or action set. Until each one is verified, its actions stay review-first and the page calls Shopify out as the guided path.
A Store Review That Leads to a Real Decision
Ask the employee connected to Shopify to review a catalog slice, a product family, an inventory location, or a recent order pattern. It identifies the exact product, variant, location, date range, and currency behind the finding so a broad observation becomes something you can act on. The result separates what is true in your store from the interpretation of what to do next.
For a catalog improvement, you get the concrete record, the issue, the evidence, and the proposed update. For inventory, you get the variant and location at risk, the threshold or assumption used, and the consequence of acting or waiting. It is a decision brief, not a black box.
Compare Products Without Comparing the Wrong Things
Competitor research checks more than the headline price. The employee records the source and date, then compares the matching product type, variant, currency, region, availability, and shipping context. It calls out where the comparison is imperfect, such as a lower-priced offer that omits a feature your product includes.
That research becomes a recommendation rather than a reflex to copy the cheapest listing. You can ask for a pricing proposal, assortment idea, catalog gap, or product-page improvement, then decide whether it should change the live store. The employee can prepare the work quickly, but it cannot apply the store change until you approve it.
Approval Is the Product, Not a Setting You Must Remember
Store changes are consequential. A price, inventory adjustment, customer record, order status, fulfilment action, discount, or storefront update always pauses for approval in the Shopify path, even if the broader tool setting is automatic. This is enforced at the action level, so a new provider action cannot quietly become a way around the review step.
You can still choose Ask first for Shopify when you want the employee to check before ordinary reads as well. For every other catalog-listed e-commerce connection, the starting posture is stricter: every provider action pauses until we have verified which actions are safe reads and which can change the store.
How It Works
Read the store, research the market, review a proposal, then decide whether anything changes.
Connect Shopify to the existing employee you want to handle the review. Start with a specific question, such as which variants are at risk, how a product compares with alternatives, or which catalog records need attention. The employee uses the connected store and public market evidence to build a review instead of guessing from a short prompt.
When a live change would help, you see the record, the proposed change, and the reason before it runs. Approve it to let the employee apply that action, or decline it and keep the store unchanged. You can review the approval and tool activity in the workspace, so the work stays visible after the immediate conversation.
Use Cases
Make a price decision from comparable evidence
Compare the matching product and offer context, explain the trade-off, and receive one proposed price change rather than an unexplained edit.
Review inventory by variant and location
See which stock positions need attention, the threshold used, and a proposed adjustment or replenishment task before a quantity changes.
Comparison
| Before | After |
|---|---|
| A store owner manually hunts through products, stock, and competitor pages, then makes a change from memory. | Your connected employee brings the store facts and market evidence into one reviewable recommendation. |
| A generic automation can treat a vague request as permission to edit a live catalog. | Every Shopify store change is a distinct approval decision, while research and review can continue safely. |
| The lowest visible price looks like the obvious answer, even when the products are not comparable. | The employee records the matching variant, shipping context, date, and material differences before recommending a move. |
FAQ
Can my connected employee update my Shopify catalog?
It can prepare and, after you approve the exact action, apply supported Shopify changes. It cannot turn a general request to improve the catalog into an unreviewed live edit.
Can it adjust inventory, handle orders, or fulfil orders?
The current Shopify action catalog includes inventory, order, customer, and fulfilment operations. Every action that can change the store requires approval, and you should start with a review before relying on a live workflow.
Can it monitor low stock automatically?
It can review inventory and prepare a recurring review, but Sistava does not yet have a native low-stock threshold alert or replenishment workflow.
Which e-commerce providers are supported?
Shopify is the first guided workflow. The tools catalog also lists ASIN Data API, Baselinker, Bestbuy, Booqable, Boxhero, Cloudcart, Instacart, Jungle Scout, Loyverse, RepairShopr, Retailed, Seat Geek, Storeganise, Storerocket, and Ticketmaster. Their available actions depend on the provider and account, and they remain review-first while we verify their contracts.
What do I review before approving a change?
Review the exact record, proposed action, source evidence, expected benefit, trade-off, and the product, variant, location, or customer affected. Declining leaves the store unchanged.
Where E-commerce Management fits
E-commerce Management is part of Things they connect to.
Connect your AI agents to Gmail, Slack, Notion, Jira, HubSpot, and thousands more apps with one-click OAuth. Extend their reach with MCP servers and A2A agents for AI-to-AI interoperability, or call any REST or GraphQL API directly. Each connection is scoped per employee.
- Things they connect to: 1,000+ tools. One click to connect.
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