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?"
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.