AI That Prevents Returns
Before They Happen

ReturnSense uses NLP to analyze every return note, cross-reference it with product descriptions, sizing data, and 30+ signals per product. It identifies the root causes of returns (like vague descriptions or missing size warnings), then generates surgical fixes — AI-rewritten descriptions, data-driven size warnings, and social proof widgets. The fixes are applied directly to your Shopify store, and ReturnSense tracks the actual before/after return rate to prove the ROI.

No. ReturnSense works alongside your existing return process and any return management app (Loop, ReturnGO, AfterShip, etc.). It does not handle returns — it prevents them from happening in the first place. Your return portal, policies, and workflows stay exactly the same. ReturnSense reads your order and return data via the Shopify API and focuses on fixing the root causes upstream.

ReturnSense imports 90 days of order and return data within 30 seconds of installation. Within 24 hours, the AI generates your first round of product risk scores and fix recommendations. Most merchants see measurable return rate reductions within 30 days of applying fixes. We track statistical significance, so you will know when the improvement is real — not just noise.

Yes, ReturnSense is fully compatible with all return management platforms. They handle the return process (labels, exchanges, refunds) — we handle return prevention (fixing the root causes). Think of it as complementary: they help when a return happens, we help ensure it does not happen in the first place. Many merchants use both together.

ReturnSense accesses your Shopify orders, products, and customer data through the official Shopify API. Specifically: order details (items, quantities, prices), return/refund records, product descriptions, variant data, and customer purchase history. We do not access payment information, passwords, or any data outside of what Shopify's API provides. All data access is read-only except when you approve AI-generated description changes.

Absolutely. Your data is encrypted at rest (AES-256) and in transit (TLS 1.3), stored on SOC 2 compliant infrastructure, and never shared with third parties. We do not sell data, use it for training models, or share it with other merchants. Cross-store benchmarks are fully anonymized and aggregated — no individual store data is ever exposed. You can delete all your data at any time from your dashboard.

Yes. The Free plan includes a full return analytics dashboard with up to 50 orders per month — no credit card required, no time limit. When you are ready to upgrade, all paid plans come with a 14-day free trial. You can downgrade back to Free at any time during the trial without being charged.

The AI Action Queue is your dashboard of recommended fixes, prioritized by predicted ROI. Each action shows: the product, the problem identified (e.g., "8 of 14 returns mention tight shoulders"), the proposed fix (word-level diff of the description change), and the predicted monthly savings. You can approve, reject, or auto-apply low-risk changes with one click. After applying, ReturnSense tracks the actual return rate change with statistical significance — so you see real data, not estimates.

ReturnSense uses 12 fraud signals across 3 detection layers. The Rules layer catches obvious patterns like serial returners, bracketing (buying 3 sizes, returning 2), and wardrobing (wear and return). The Patterns layer detects address/IP clustering, multi-account fraud, BNPL return correlation, and policy-edge abuse. The Network layer uses LLM analysis to spot scripted excuses in return notes and cross-store fraud ring graphs. Every customer gets a 0-100 fraud score. High-risk orders can be auto-held before fulfillment, and the investigation dashboard gives you full case management with evidence trails.

No. ReturnSense uses a graduated response system — it never blocks anyone automatically without your consent. Low-risk scores (under 40) are invisible to customers. Medium-risk scores (40-70) generate alerts for your team to review. Only high-risk scores (70+) can trigger fulfillment holds, and you control those thresholds. The system also learns from your decisions: if you approve a flagged order, ReturnSense adjusts its model for that customer. False positive rates are below 3% across our merchant base.