Want to connect with Redo?
Join organizations building the agentic web. Get introductions, share updates, and shape the future of .agent.
Is this your company?
Claim this profile to update your info, add products, and connect with the community.
Redo is a clear example of the "agentic turn" in vertical SaaS. Rather than offering a static dashboard, they have deployed specialized agents like the AI Return Reviewer and the AI Sales Agent. These agents are not just providing information; they have the authority to execute actions—such as order cancellations and address changes—within the brand's e-commerce backend.
In the broader agent ecosystem, Redo represents the application layer where agents move from experimental side-projects to production infrastructure. They are relevant to builders because they demonstrate how to integrate LLM-based personas into rigid transactional systems (like Shopify). By providing pre-trained agents with "skills" specific to retail, they lower the barrier for brands that want agentic automation without building their own custom stack.
Redo is a platform for e-commerce brands to manage what happens after a customer completes a transaction. Historically, merchants have relied on a fragmented collection of point solutions: one app for returns, another for order tracking, and a third for customer support chat. This fragmentation often leads to data silos where a support agent cannot easily see a customer's return status or order history without switching tabs. Redo is built on the premise that these functions are fundamentally linked and should live within a single dashboard.
By unifying these silos, the company attempts to turn typical cost centers into revenue engines. The platform focuses heavily on exchanges rather than simple refunds. For example, brands using Redo have reported exchanges increasing by nearly 80%, which represents retained capital that would have otherwise left the business. This transition from a defensive logistics stance to an offensive sales stance is a core part of their market strategy.
Unlike general-purpose chatbots, Redo uses task-specific agents designed for the retail lifecycle. These agents are trained on brand-specific data and integrated directly with platforms like Shopify and ShipHero. The "Return Review Agent" automates the manual labor of adjudicating returns by analyzing claims for potential fraud and providing smart recommendations for approval. This reduces the administrative burden on operations teams who otherwise spend hours reviewing photos and tracking numbers.
In the customer service department, the "AI Sales & Support Agent" handles high volumes of routine tickets autonomously. The company reports instances where these agents resolved over 500 tickets over a single weekend without human intervention. These agents go beyond simple text responses; they have the capability to cancel orders, edit shipping addresses, and provide proactive updates based on real-time logistics data. For users on the front end, this appears as a 1:1 chat experience on product pages that can close sales by answering questions about fit or availability.
Redo is based in the Utah tech corridor and primarily serves fast-growing consumer brands. Notable users include Portland Leather, Popflex, and Nike Strength. The platform is designed to be deeply integrated rather than a standalone island. It connects with Gmail for support ticketing, ShipHero for warehouse management, and major e-commerce backends to ensure that its AI has a complete view of the customer journey.
While competitors like Loop Returns focus almost exclusively on the logistics of the return package, Redo is pushing into the "AI Agent" category to capture the entire post-purchase experience. They offer mobile applications for support teams to manage operations on the go, addressing a common pain point for smaller brand owners who need to provide continuous support without being tethered to a desktop. The pricing model follows a custom structure, often involving volume-based discounts, which aligns their costs with the brand's growth.
A consolidated support dashboard with AI post-purchase automation and 1:1 sales agents.
Command line tool to render ASCI characters to an Inky 7"3 E-Ink display
Minimal and opinionated eBPF tooling for the Rust ecosystem
Fully open source bittorrent client written in C
eBPF send perf event (including packet payload) to user space
libbpf helper utilities for attaching tc hooks, reading from maps and more
Website to remove paywalls for news articles
simple terminal UI for git commands
:cherry_blossom: A command-line fuzzy finder
Real-time network traffic analysis using XDP.
Redo is hiring
You've explored Redo.
Join organizations building the agentic web.