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BigCommerce return requests checked against your rules using catalog, order and customer data, with every decision recorded on the order.
Not every product in a BigCommerce catalog should follow the same return rule. This agent checks each return or exchange request against the policy for that product type, using your catalog, order and customer records. Qualifying requests get instructions straight away, unusual ones reach a person with the details attached, and every decision is recorded on the BigCommerce order.

AI Returns Agent for BigCommerce checks each return or exchange request against your written policy, using the BigCommerce catalog, order and customer records, and sends return instructions when it qualifies. It connects through a BigCommerce API account with scoped permissions and records each decision on the order. Unusual cases reach a person.
Returns on a varied catalog are easy to get wrong. A hygiene item, a custom order and a standard product might each have different windows, and staff checking by hand will sometimes slip. Every slip costs either money or goodwill. This edition applies the right rule to each product type automatically, answers customers quickly and keeps a clear record on the order. Access stays limited to a scoped API account. The Scope Card sets the rules, workflows, approvals and testing before you buy.
The agent uses your BigCommerce catalog, order and customer records to check each return or exchange against your written policy. Qualifying requests receive return instructions.
Each decision is recorded on the BigCommerce order. Your team sees the outcome where they already work, without updating a separate side sheet by hand.
Unusual cases always reach a person for a decision. The connection runs through a BigCommerce API account with scoped permissions that you create and control.
Your portal lists these the moment you order. Delivery starts the working day after everything is in and your access is checked.
| Option | Delivery time | Price |
|---|---|---|
| Standard | 20–30 working days | $4,900 |
| Express | 15–25 working days | $5,750 |
| Rush | 10–20 working days | $6,600 |
Before you start: Record monthly return volume, average handling time and where return decisions are tracked today.
These are things to track, not promised results. Outcomes depend on your data, your team and your market.
The build is paid once. Running it costs roughly $50 to $250 a month in AI model usage and hosting in your own accounts, alongside your BigCommerce and helpdesk plans. Usage follows the number of return conversations, so busy months cost more than quiet ones.
BigCommerce licenses and plan upgrades are excluded, and AI usage during testing is billed to your accounts.
Ask about running costsAutomatic store credit, custom BigCommerce objects beyond the mapping, or a second channel need a Change Quote. Add a note at checkout and a written quote follows; nothing extra starts until you accept it.
Request a custom versionMonthly maintenance covers monitoring, fixes and a monthly allowance of change hours, such as a new product-type rule or a changed approval threshold. It starts after the 30 days of support.
$249/mo (the minimum fee, includes 2 change hours)
Optional. Starts after the post-launch support period. Cancel any month.
How maintenance works| Do it yourself with a SaaS tool | Hire a custom agency | Upmark Labs | |
|---|---|---|---|
| Price | A returns app bills monthly by return volume | An ecommerce agency quotes a custom integration | Ours is one fixed price, shown before you buy |
| Product rules | One return window for everything | Depends on the build | Ours applies different rules by product type from your catalog |
| Risk cases | Flagged only if someone checks reports | Agreed per project | Ours sends high-value or unusual cases to a person |
| Access | Broad app permissions | Set by the developer | Ours uses an API account scoped to what it needs |
| Delivery | Install today, rules set up by you | Often several weeks | Ours has a fixed delivery time shown before you buy, with faster options |
Catalog, orders and customers, through a field mapping agreed with your admin and documented. It reads catalog details and order dates to check eligibility, looks at the customer record when your rules need it, and records each decision on the order. Custom objects beyond the mapping need a Change Quote.
Yes. If your catalog separates product types, for example by category, each type can carry its own window and conditions. The agent reads the item's catalog details on every request and applies the matching rule, so a final-sale category and a standard one are never treated alike.
The standard BigCommerce mapping covers catalog, orders and customers, not coupons or credit. The agent can tell a customer that credit applies under your policy and pass the case to your approver to issue it. Automatic credit can be added through a Change Quote.
Only the scopes for the catalog, orders and customers in the mapping, set by your admin when creating the account. It is shared securely during intake, never by email, and confirmed on a 30-minute call. Narrow scopes mean the agent cannot reach store areas it has no use for.
Delivery follows a fixed schedule shown before you buy, with express and rush options if you need it before a busy returns period. API access, written rules and sample conversations are due within 72 hours of ordering, and late intake items push the delivery date back. Fifty documented scenarios are tested on a sandbox store or test orders before launch.
Roughly $50 to $250 a month in AI model usage and hosting, billed to your own accounts, alongside your BigCommerce and helpdesk plans. Usage follows the number of return conversations. Monthly maintenance is optional and includes a monthly allowance of change hours.
Whenever your rules say so: the window has lapsed, the item sits in a non-returnable category, the order value is above your threshold, or the customer's history meets a limit you set. The approver receives the order, the item and the reason, and makes the call.
Order AI Returns Agent for BigCommerce and return requests are checked against rules for each product type, unusual cases reach a person, and every decision is recorded on the order, from a fixed delivery date.

Automates routine store operations such as tagging, fulfillment checks and reports.
