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Proactive AI customer support that engages high-value users
Proactive AI customer support that engages high-value users. By using LLM’s to engage customers in an authentic way before they reach out to customer support we minimize support tickets, build relationships and deliver upsells. We are the only AI agent on the market with sufficient engagement to be allowed to send iMessages outbound.
Signals provides proactive AI-driven customer support that maintains a single iMessage thread to answer questions, guide purchases, and follow up post-delivery to drive repeat orders and gather customer insights for DTC brands.
Signals converts storefront Text Us inquiries into a persistent, single iMessage thread. It uses the brand's catalog and policies to answer questions, assist in product selection, and follow up to encourage repeat purchases. It supports pre-purchase and post-delivery workflows, contextual cross-sell, subscription management, and order placement within the thread, integrating with iMessage, RCS/SMS, WhatsApp, Shopify, Gorgias, Listrak, EasyPost, Slack, and 50+ more. It enables inbound questions, product matching, availability/restock suggestions, post-delivery check-ins, exchange/resolution guidance, and replenishment signals all within one ongoing conversation.
Who it’s for: Direct-to-consumer (DTC) brands that operate storefronts and use messaging to engage customers, with needs around pre-purchase guidance, post-delivery follow-up, cross-selling, and repeat revenue.
mentions of case studies and a campaign/product emphasis, integrations, and multiple brand examples imply traction
Co-Founder Return Signals. 2x founder. Previously built AI patient intake at Kaiser Permanente, medical ChatGPT before ChatGPT at Curai Health, and co-founded MDandMe. Physics PhD.
Co-founder at Return Signals. I like building things from the ground up. Previously helped take two startups from 0 - 1: one was acquired by Blueground, and another grew 6x YoY to $40M ARR and became profitable by the time I left.
AI-powered post-purchase messaging that reduces returns and increases repeat purchases for e-commerce brands.
Return Signals builds an AI-powered luxury concierge that proactively messages customers via SMS after delivery to reduce returns and boost lifetime value for e-commerce brands. It targets brands with high return rates and reports 5–10% margin uplift, 70% exchange conversion, high response rates, and 95% positive sentiment, with analytics for brand teams.
Formerly “Material Model”, “Return Signals” · why startups rename →

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