Returns Are a Two-Part Problem. Loookit Helps With Both.

Returns cost retailers real money. Retail returns reached an estimated $849.9 billion in 2025, and 19.3% of online sales came back, according to the NRF and Happy Returns. Apparel and footwear run well above that average, mostly because fit and sizing are nearly impossible to judge from a product page. Younger shoppers return the most, averaging 7.7 online returns a year.

For a Shopify merchant, that cost shows up in two separate places, and they call for two different kinds of solutions.

The first is operational: once a customer wants to return or exchange something, you need a clean process to evaluate the item, decide on a refund or exchange, and move on. The second is preventive: the fewer returns you get in the first place, the less all of that costs you. Most retailers focus on one or the other. Loookit, as a live, browser based video platform, actually helps with both, and it is worth looking at each side separately.

Handling the return itself

Shopify’s native tools already give merchants a solid process. From the Orders page, you can create a return, send shipping instructions, and issue a refund once you have inspected the item. Self-serve returns let customers submit a request from their account, which you then approve or decline against return rules you have set for eligibility, return windows, and fees. It is a good system, but it has one built-in limitation: most of it happens asynchronously. A customer describes a problem in a form. Maybe they attach a photo. You approve or decline based on that, often without ever really seeing the issue.

That gap is exactly where a live video session helps. Instead of guessing from a written description and a blurry photo, a support agent can hop on a quick Loookit call, see the damage or the wrong-size item firsthand, and make the call on the spot: refund, exchange, or a quick fix that avoids the return altogether. Loookit’s screen sharing and camera sharing let a customer show you the product from any angle, and drawing and annotation tools let your agent point directly at what they are looking at. A snapshot feature captures a still image for the record, which is useful for your own documentation and for spotting return fraud patterns like the “empty box” or “box of rocks” claims that the industry sees increasingly often.

Because Loookit runs entirely in the browser with no app to download, this fits naturally into a returns flow you already have. A QR code on a packing slip or a link in a returns email is enough to get a customer into a session in seconds, whether they are on a phone, laptop, or tablet. Session logs give you a record of what was discussed and decided, which matters if you are managing this across a support team rather than a single person.

This is also where Loookit’s own Shopify page makes the pitch directly: “A quick video session lets your team verify damage, walk customers through a fix, or approve an exchange immediately, saving time for everyone and keeping more revenue in your store.” That is the operational side in a sentence. It does not reduce how many returns get initiated. It makes each one faster, more accurate, and less likely to end in a straight refund when an exchange or a fix would have kept the sale.

Reducing how many returns happen at all

The second half of the problem is prevention, and this is where the returns research points to something specific: most avoidable returns trace back to a shopper not being able to see or understand the product well enough before buying. Fit or sizing problems in apparel and footwear. A mismatch between the listing and what actually arrives. Missing details that only become obvious once the box is opened. One case study on 3D and AR product visualization found that letting buyers check product fit before ordering cut the return rate by 5% and increased order conversion by 40%, which tells you how directly this connects to revenue, not just cost savings.

Loookit’s answer to this is a live version of the same idea. Rather than a static 3D model, a shopper can get on a session with a sales or support agent before they buy and see the product live, ask questions, and get a real answer instead of guessing from photos. Loookit’s own site frames this as turning “browsers into buyers with live, browser based video chat,” where a team can “show off products in real time, answer questions on the spot, and guide shoppers all the way to checkout without ever leaving your Shopify store.” The same session tools that make a return conversation better, screen sharing, camera sharing, drawing and annotation, augmented reality overlays, work just as well before the sale as after it. A customer trying to decide between two sizes or colors, or unsure whether a product fits their space, gets the same kind of clarity a shopper checking product dimensions gets from an AR tool, just delivered through a person instead of a static model.

Loookit’s built-in assistant, LARA, adds another layer here. It surfaces relevant information during a live session, so an agent is not stepping away from the conversation to look something up. For a support team fielding sizing questions or product spec questions all day, that keeps sessions short and keeps the answer accurate, which matters for both conversion and for avoiding the kind of mismatch that leads to a return later.

Why this matters for a Shopify store specifically

Shopify’s own guidance is clear that returns management is about the full loop: receiving, evaluating, and resolving what comes back, and then using what you learn to fix the causes. Loookit sits usefully on both ends of that loop. Before checkout, it is a tool for making sure a customer knows what they are buying. After a return request comes in, it is a tool for resolving it accurately and quickly, often without a costly reverse shipment at all.

For merchants already on Shopify, Loookit’s current offer makes this an easy thing to test: start for free, then continue for $1 a month for three months. No app to install for your customers, no engineering work on your end, and it plugs directly into the return and support conversations you are already having.