eComID announced a $17 million seed round on 25 August 2026, led by Systemiq Capital. The Stockholm company plans to expand into more markets and develop its Shopping Passport, which carries a shopper's size and preferences across connected brands. Its AI shopping agent, Vera, uses that information for sizing and product discovery on retailers' own sites.
The company reports a 30% lower return rate among shoppers using eComID and a 10% higher conversion rate for brands using the platform. Those are company-reported results. The announcement gives no sample size or controlled comparison, so a retailer cannot use those percentages to forecast its own sales.
A second store visit
Consider a shopper who prefers a roomy trouser fit. They create a profile at one participating retailer, then visit another connected store a week later to look for a pair for work. This is a hypothetical shopping trip, but it illustrates eComID's advertised offer: reuse a size profile and continue a conversation across its network without completing the same forms again.
A useful demonstration would let that shopper ask for a closer fit on the second visit, or switch to buying a gift. The merchant should check which preferences Vera carries over and how the shopper corrects them. We have not tested that flow. The product page advertises preference controls and profiles for loved ones; it does not establish how a particular retailer has configured them.
The information behind the recommendation
The privacy policy we reviewed lists 16 December 2025 as its latest update, before the August 2026 funding and Passport announcement. It describes eComID and recipient merchants as data controllers. It says eComID may share recommended sizes, purchase and return histories, chat logs and preferences with merchants, subject to a balance-of-interests assessment.
For registered users' core services and profiling, the policy gives retention until profile deletion or three years of inactivity, whichever comes first. It gives unregistered Size Finder and Agent data a one-year retention period. It also describes requests for access, correction or deletion and an objection to profiling. These are statements in the reviewed policy, not a finding about compliance. Merchants should confirm the current arrangements and who handles corrections once both parties hold the information.
Count the clothes customers keep
For a retailer considering a pilot, our recommendation is to start with one category and follow orders through the full return window. Compare kept purchases as well as checkout conversion, using randomly assigned visitor groups where practical. Separate first-time shoppers from returning customers; someone with a purchase history presents a different sizing problem from a first visitor.
Ask testers to explain why they accepted or rejected the recommended size. Record abandoned profiles and fit-related support requests alongside returns. Before seeing the results, agree how much improvement in kept sales would justify the integration and support costs.
eComID's next expansion is into resale. On 3 September it announced the acquisition of Nilum, with founder Jonas Fagerlund set to lead recommerce development. The company said it would announce the resulting shopper capabilities later. A retailer evaluating those features will need a separate demonstration using individual garments' condition and measurements; the acquisition announcement does not document a released resale experience.