Problem

Online apparel, footwear, and accessories brands face an expensive post-purchase failure: more than $1 trillion of these products are sold online, and roughly $300 billion is returned. Retail returns run at about 25%, directly eroding margin, while poor support can also reduce customer satisfaction, repeat purchases, and lifetime value. Return Signals frames the return as the final step in a process that often begins with incomplete product information, sizing uncertainty, or disappointment after delivery; cited apparel research attributes 39% of returns to poor fit and 28% to products not looking as expected.

The killer use case is the delivery-to-try-on window for apparel and other physical products. Instead of waiting for a customer to open a ticket or enter a return portal, a brand can proactively check in when the order arrives, identify a fit or quality problem, and intervene while an exchange or alternative product can still save the sale.

Product / Service

Return Signals is an AI-powered conversational concierge for DTC and e-commerce brands. The current site presents it as Signals, a clienteling and post-purchase layer that opens personalized two-way conversations through iMessage, SMS/RCS, and WhatsApp. It uses product, order, and policy context to answer sizing, shipping, exchange, return, gift, and product questions; it can recommend an exchange or alternative, identify churn or replenishment signals, and connect pre-purchase questions with post-delivery follow-up. The platform integrates with systems including Shopify, Gorgias, Zendesk, Gladly, Loop, and Redo.

Most conversations are intended to resolve through AI, with unusual or sensitive cases escalated to a human in the same thread without losing context. The benefit is not simply automated support: the company is trying to turn a historically reactive cost center into a margin and retention channel by reducing avoidable returns, converting refund intent into exchanges, and generating repeat purchases. Its YC launch claimed a 5–10% absolute margin uplift, while the current site reports 58% reply rates, 13% fewer returns, and 51% more repeat purchases; these are company-reported performance claims.

Market

The company competes at the intersection of AI customer support, conversational commerce, post-purchase engagement, returns prevention, and retention software for DTC brands. Adjacent competitors include AI support platforms such as Gorgias, Siena AI, and Zowie; SMS and lifecycle-marketing tools such as Attentive, Postscript, and Klaviyo; and returns-management platforms such as Loop Returns and Narvar. Return Signals differentiates itself by initiating a high-touch conversation after delivery and tying support, exchange decisions, and repeat revenue together rather than waiting for a customer to enter a support or returns workflow.

Public evidence indicates an early-stage company rather than a mature, publicly disclosed revenue business. YC lists Signals as an active Winter 2026 company with a two-person team, and a third-party profile describes a pre-seed round and early pilot phase with selected e-commerce brands; the funding amount and revenue are not disclosed in the reviewed sources. Its reported traction includes the site’s 51% increase in repeat purchases, 58% reply rate, and 13% reduction in returns, plus earlier YC claims that its texts reached more than 80% of eventual returners and converted 70% of return intents into exchanges.