Determining what to produce during assortment planning would usually start with a collection theme followed by category planning. However, planning just on category level is not sufficient. There could also be contributing slow-moving sub-categories that could have impacted brand performance.

Learn how to conduct price analysis to trade better at full price using the Validate Trend Performance module available in the Trade Insights Dashboard. 

Step 1: Select brands and date range

The first step is to click on the Start Here button under “Validate Trend Performance” use case.

Following the guide in step 1, select market, brands, gender and date range for your analysis. It is recommended to select brands that you see as your competitors or aspirational brands for a more accurate analysis. For this example,we have selected Mango, H&M, Zara womens assortment in the United Kingdom .

Step 2: Identify uptrending and down trending category

Next, head over to the next step “Trend overview by category” by clicking on the continue button on the bottom right

In this analysis, categories are arranged according to SKU count in descending order. Default filters would be at full price and out of stock

For this example, the uptrending categories, represented in green line are tops, outerwear and dresses. While downtrending categories, represented in red are pants & leggings and accessories. However, brands must also look into what were the uptrending and downtrending subcategories for respective categories to further potentialise uptrending subcategories while minimising the risk of downtrending subcategories that may have affected the category performance. 

Click into any of the categories for more insights. Taking tops as an example, t-shirts dominated the tops category as 107 out of the 422 out of stock SKUs were t-shirts, which is a 25% contribution. 

Step 3: Identify uptrending and downtrending subcategories

To identify uptrending and downtrending subcategories, select a category that you would wish to analyse further in the main filter. As an example, we have selected tops.

As illustrated in the chart below, uptrending subcategories for tops are t-shirts, shirts and bodies. With this, you would have better assurance on which subcategories to focus on for respective categories that you have decided for your assortment planning. 

Click on the respective subcategories to view the SKU. Save any SKUS which you like to keep as an inspiration by clicking on the heart shape icon.

 To view the saved products, head over to the next step “Generate insights report”.

In this last step, scroll down to the bottom of the page and you would be able to see all the saved products

Key Takeaway

When it comes to assortment planning, it involves the planning of both category and subcategory. Planning just on category level is just as risky as not planning at all as there are many product attributes or factors impacting the performance of a category. Hence, brands need to dive further in to understand subcategories that are driving the performance of a category. Taking tops for instance, it comprises t-shirts, camisoles, crop top blouses, short sleeve tops and long sleeve tops which appeals to different consumers. If your brand caters to a more modest group of customers, then camisole or crop tops may not fit in your assortment. For such analysis, it is advisable to complement both external and internal data to spot opportunities and reduce risk.

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.

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