What are the most common problems encountered during the implementation of Size Adviser? How can they be avoided?

Yes! If you have a staging, dev, or test environment, please provide us with the relevant URLs and access so that we can whitelist them in our system and test Size Adviser at our end as well.

One of the most common issues we face during the onboarding phase is the quality of data:

• quality of sewing patterns/size guides that match the reality of products.
• Data inaccuracy or missing information for some products in the feed.

To avoid issues and reduce errors, please make sure that all required fields from your feed are included, correct and consistant.

• The size system information to correctly identify sizes in the feed is often unavailable from customers, and it is impossible to identify sizes correctly.

The Shoe size guide example below from a famous brand shows that the same size number 5 refers to a different foot measurement depending on the size system (US male, US female, or UK).

Without knowing the correct size system in such cases, it is impossible to determine which is the correct measurement for the determined size.

Product content errors such as an incorrect or missing gender, age group, or product category may have a significant impact on the size recommendation as well.

Please pay attention to the quality of your data to ensure you receive the best possible service and delight your customers