Analyses why goods come back and improves the returns process.
Developed in Germany · Hosted in the EU or on-premises
Delivered together with
Sovereign hosting in Germany, single-tenant from the first user.
Legal, tax and compliance expertise for legally sound deployment.
Advisory and implementation for the public sector, starting with the AI readiness assessment.
On the returns slip, the customer picks one of eight reasons and writes next to it what actually happened. The reason ends up in the shop system, the free text in a customer service ticket, the photo in an attachment. Anyone who wants to know why one item comes back three times as often as the one next to it has to read through three systems.
Three named causes account for 1,040 of the 4,200 cases. Once the size chart, colour photo and material details on the item are right, these three bring the category a 15% lower return rate.
The 15% reduction in the return rate is this agent's headline figure. The 4,200 returns and the twelve causes identified describe a typical quarter in one shop category; they are not measured values.
The agent reads the selected reason, free text and ticket comment for every case from the shop system and CRM. It groups matching statements into named causes and attaches example cases.
12 causes from 4,200 cases, largest group: size runs small, with 610 casesFor each item, the agent calculates the return rate, the main reason and the margin impact of returns. Items above the category average go to the top.
Women's dress ND-3391 with 402 returns on 640 orders, where the category average would be 288The agent sets out causes, affected items and suggested changes to the product copy side by side, each line with a reference to the case. Customer service and category management go through the report together.
retourenbericht_damenmode_q3.pdf, 12 causes, 3 items with suggestionsIt provides the case history and a suggested wording. Customer service decides whether and how to reply.
It counts how often breakage or a defect is given as a reason and lists the cases by number. The returns goods-in team inspects the goods themselves.
It analyses the cases from the returns portal. A store return only appears once the till system records it as a case.
Connected systems
Operations
A pilot typically runs on your own data within 4 to 6 weeks. The agent connects to your existing systems rather than running as a separate, parallel environment.
EU cloud or private cloud. Processing is GDPR-compliant and models are never trained on your data. Details in the Trust Center.
It is based on experience from comparable projects and process benchmarks, not a commitment. We work out the realistic effect for your organisation during the assessment before the pilot.