Sizing has a direct correlation to customer demographics. Sizing analysis in different areas ie. retailers/brands, category/subcategories reflects customer preferences and liking and enables you to offer a variety of demand-led products.
Step 1: Selected the right size setting
Individual brand/retailer filters would be recommended in conducting sizing analysis. You could further narrow down the analysis by looking at category level.
Compare the difference in the sizing chart, you could spot the opportunity and risk sizes of your analysis for an effective sizing ratio planning for the future season.
Step 2: Set the date range
Click into the first Top Filter from the right to access the date range filter. It is recommended to conduct this analysis quarterly.
Step 3: Analyse size for opportunities and risks
Compare the size curve for ‘All stock’ and ‘Out of Stock’ filters. In this case, observed product count of each sizes for both stock filters are similar. This reflects a promising strategy the brand has adopted in sizing ratio planning, where customer demand aligns with the offerings across sizes.
Sizing analysis helps the brand/retailer to focus on potentialising their core sizes, to ensure demand are being met with relevant sizes. Any abnormalities in the sizing curve would reflect an opportunity or risk to further strategize sizing offerings best-suited target customer demand.
Hope you found this article helpful! If you have any questions or would like to explore the Omnilytics dashboard further, feel free to reach out to your respective Client Success Manager.