100
M+
Real returns analyzed
Decisions improve based on real post-purchase behavior.
230
M+
Transactions across 5,000+ brands
See patterns no single brand could see alone.
11
%
Lift in retained revenue per return
Recommended products drive higher-value exchanges instead of refunds.
Make money
Promise shows accurate delivery dates across product pages and checkout, giving customers the confidence to buy knowing products will arrive on time.
Delivery estimates are calculated nightly using historical data in our foundation model, with an accuracy rate >90%.
Make money
Exchange for any item in your catalog with AI-powered product suggestions built directly into the returns flow.
Our foundation model analyzes past purchase history, return history, and frequently exchanged items to recommend the best product for every customer.
Save time
Loop Intelligence automatically reviews uploaded return images, so you know exactly what's coming back before you open the box. The model can verify product condition, product tags or packaging, and if the physical product matches what was submitted for return.
Save time
Review the most common policy rules implemented by brands of your size and vertical. Easily identify the average refund window, exchange window, fee adoption, fee amount, and more, across all brands on Loop.
Analytics explain what already happened. Loop Intelligence decides what should happen next, automatically, inside your existing flows.
Yes. Teams can step in when needed. Intelligence reduces noise without removing control.
Customers get faster resolution, fairer outcomes, and fewer surprises, without ever seeing the system behind it.
Most teams justify Intelligence through reduced loss, fewer manual reviews, and higher retained revenue as volume grows.
Intelligence becomes essential as complexity grows. If volume, risk, or inconsistency are starting to surface, it turns chaos into control.
