Hazel reads your full Loop Returns history (returns, exchanges, return line items, return reasons, shipments, and outcomes) and answers business questions in plain English. No dashboards to build.
May 23, 2026
Hazel is an AI coworker that connects to Loop Returns and answers business questions about your returns and exchanges the way an analyst would. Once connected, Hazel ingests your full Loop history (every return, exchange, return line item, return reason, shipment, and outcome (refund, exchange, or store credit)) then refreshes every few hours. Ask Hazel about return rate by product or category, exchange-to-refund ratios, the top return reasons driving your highest-return SKUs, or how much revenue you're retaining through exchanges and store credit, and you get an answer with the numbers behind it. Hazel pairs your Loop Returns data with Shopify orders, your ad platforms, email, and subscriptions so cross-source questions. Like "what's the return rate of customers acquired through this campaign?". Are a single prompt instead of a CSV-stitching project.
Hazel reads the Loop Returns data that matters for analyzing a consumer brand and lets you query it conversationally:
Hazel keeps the full historical record, so YoY return-trend questions and cohort-level return-rate analyses are one prompt.
Common questions consumer brands ask about their Loop Returns data:
"What are the top return reasons by product category for the last 90 days, and how does each category's return rate compare to the same period last year?"
"What is the return rate for kids items vs. other categories?"
"Break down return outcomes. Refund vs. exchange vs. store credit. By month for the last 6 months. Is our exchange-capture rate improving?"
"How often did a customer complete a return for refund outside of 15 days post-delivery? How often for store credit or an exchange after 30 but before 45 days?"
"For products with the 'sizing' return reason, what's the average star rating on those same products in our review data? Are the sizing complaints showing up in reviews too?"
"Looking at orders tagged 'bundle,' the return rate is ~4%. What's the return rate for orders not tagged 'bundle' in the same period?"
"What's the return rate by acquisition channel? Do customers acquired through paid social return at a higher rate than organic or email-acquired customers?"
"Any concerning return rates or reasons recently on products with the tag FB-FEED?"
Paste your Loop Returns API key (found in your Loop admin settings) into Hazel's connector setup. No app install required. Hazel handles the rest. If you run multiple Loop accounts, connect each one separately.
Returns, exchanges, return line items, return reasons, return shipments, and return outcomes (refund, exchange, store credit). No cap on lookback. Hazel pulls your full Loop history.
Roughly every 6 hours, automatically.
Loop Returns tracks the return side; pairing Hazel's Loop and Shopify connectors gives you return rate joined to order tags, acquisition channel, customer cohort, AOV, and discount code: the questions that actually drive PDP changes, sizing guides, and bundle decisions.
Loop tracks Shopify returns. Amazon FBA returns flow through Hazel's Amazon connector and stay separate, so DTC return analyses are not muddied by FBA return logistics.
API key from your Loop admin. Hazel only reads your data; it never writes back to Loop, never cancels or processes a return.
Zapier ships a Loop Returns MCP server (zapier.com/mcp/loopreturns) that exposes actions like cancel a return, flag a return, and process a return. That's useful for agentic workflows that take action inside Loop. If you want an AI to actually move returns through your workflow, that's the right tool.
Rather than wiring an LLM directly to Loop's API and writing the analysis logic yourself, Hazel ingests your Loop data into an analytical store, joins it with your Shopify orders, ad platforms, email, and subscriptions, and gives your team a single conversational interface for business questions. No MCP setup to manage, no per-prompt schema discovery, no rate limits, and the same agent answers "what's our return rate by acquisition channel" without you stitching three tools together.
If you specifically want MCP access to Hazel itself, that's available too. Ping us at https://calendly.com/clint-dunn/clint-hazel-intro.
Loop Intelligence is Loop's in-product AI suite. Fraud detection ($0.87 of every $1 of confirmed fraudulent transactions caught), Smart Exchanges (AI-powered product recommendations in the return flow, with an 11% retained revenue lift), Return Image Analysis, AI Assistant for Workflows, and Shopper Sentiment Analysis. All of those improve the returns experience itself. Hazel is the analytics layer on top: it ingests your Loop data alongside Shopify, ad spend, email, and subscriptions, and answers cross-source business questions Loop Intelligence can't reach. Like "what's the return rate by acquisition channel?" or "do bundled orders retain better after a return than single-SKU orders?"
Loop also ships its own analytics product. Loop Insights, sometimes called Analytics 2.0, with dashboards for return reasons, exchange conversion rates, carrier delays, and scheduled email reports. That's the right tool for monitoring your Loop program day to day. Hazel goes one layer up: it pulls Loop Insights data plus your Shopify, ad, email, and subscription data into one queryable surface, so you can answer return-rate questions that span sources. The questions Loop Insights can't reach on its own.
Loop launched a Logistics Data Platform (May 2026) focused on supply-chain-side AI. Hazel's Loop Returns connector focuses on merchant returns analytics. Returns, exchanges, refund vs. store credit, return reasons by SKU, and is complementary to Loop's logistics work.
Yes. Connect Loop to Hazel using the API key from your Loop admin settings, no app install needed.
Loop Intelligence is Loop's in-product AI suite. It improves the returns flow itself with fraud detection, smart exchange recommendations, image analysis, and shopper sentiment categorization. Hazel is the AI coworker on top: it ingests your Loop data and your other sources (Shopify orders, ad spend, email, subscriptions) into a single analytical store and answers business questions across all of them. Loop Intelligence makes the returns experience smarter; Hazel makes the whole brand's return decisions smarter.
Loop Insights is Loop's first-party returns analytics product. Dashboards for return reasons, exchange conversion, carrier delays, with scheduled email reports. Hazel is the layer above: it ingests Loop's data plus Shopify, ad, email, and subscription data and answers cross-source questions like "what's the return rate of customers acquired through this campaign?" that Loop Insights can't reach.
Those are returns platforms with their own analytics. They process and manage returns. Hazel is platform-agnostic on returns: it ingests Loop Returns data (or data from any returns platform) and joins it with the rest of your stack. Hazel doesn't compete with the returns platform itself. It answers the cross-source business questions that sit above any single returns tool.
Hazel ingests the raw return data from Loop. Return reasons, outcomes, line items. If Loop Intelligence categorizes sentiment on a return, and that categorization is exposed via the API, Hazel picks it up. For deeper sentiment analysis, connect your review platform alongside Loop and Hazel can cross-reference return reasons with review sentiment on the same products.
Roughly every 6 hours.
No. Hazel only reads. We never cancel returns, flag returns, or process returns on your behalf.
No, Loop tracks Shopify returns only. Amazon FBA returns are tracked through Hazel's Amazon connector and stay separate from your Loop data. Which is what you want, because DTC return economics and FBA return logistics behave differently.
Yes, and this is the highest-leverage use case. Return rate by order tag, by discount code, by first-time vs. repeat customer, by bundle vs. single-SKU order, by acquisition channel. Those are all questions that need Loop joined to Shopify, and Hazel handles the join automatically.
Yes. Top return reasons by SKU, by category, by month, by collection. Whatever the dimension is, ask in plain English and Hazel returns the breakdown.
Yes. Hazel preserves the return outcome on every return, so you can ask for exchange-to-refund ratios, revenue retained through exchanges and store credit, and shifts in mix over time.
Book a call and we'll walk through your returns data, the questions you want to answer, and what the rollout looks like.
Hazel helps your team uncover new revenue, catch problems early, and make smarter, faster decisions before you even know what to ask.