ENTERPRISE AI PLATFORM
TURN SILOED DATA
INTO BIGGER MARGINS. AUTOMATICALLY.
The only returns intelligence engine that closes the loop –
from fragmented data to real insights, action, and results
A root-cause analysis engine pinpoints exactly why returns happen by unifying signals that retailers typically chase in isolation – reason codes, reviews, product attributes, order data, and more. It connects these fragments to reveal the true drivers behind return spikes, margin loss, and product issues.
An automated recommendations engine turns unified intelligence into precise, role‑specific actions that teams can take immediately to reduce returns. It analyzes root causes, impact, and urgency to surface the next best move for retail teams – no digging, no dashboards, no guesswork.
Returnalyze gives retailers a cross‑functional view so merchandising, product, commerce, supply chain and CX operate from the same source of truth. It provides one shared picture, eliminating conflicting reports and reactive decisions. Issues get fixed faster, decisions get sharper, and margin improves across the business.
Closed‑loop tracking shows retailers exactly which actions moved the needle – and by how much – so teams can see real margin gains, not just activity. It measures the downstream effects of fixes across products, categories, and roles, tying every intervention back to return reduction and profit improvement.
Returnalyze has years of experience refining models, usability and capabilities in production with global retailers. While many retail AI tools are still in beta, Returnalyze is already proven at scale.
Returnalyze processes billions of data points to surface same‑day return drivers, customer behaviors and patterns across brands and global regions. This level of scale and speed is simply unmatched by other solutions.
Measurable results are only months away. On average, first-year customers reduce return rates by up to 20%, increase repurchase rates by 6%, and recover millions in lost margin. That’s ROI.
Returnalyze validates and routes actions into the workflows of retail teams who can drive the changes required to prevent returns. You get operationalized intelligence, not passive reporting.
Returnalyze’s strategic advantage grows with each cycle of the flywheel: patterns identified → better insights → orchestrated actions → fewer returns → cleaner data → sharper intelligence.
Returnalyze shows retailers exactly how their return rates stack up against industry benchmarks, down to the category level. That’s mission-critical insight no internal build can deliver.