Patterns are one of the key elements in category design and development.  It reflects customer demographics and preference towards fashionability. Data insights from the Trend Performance module helps you to identify the best-selling for a category/sub-category.

Learn the relationship between the and category using Omnilytics in this help article.

Step 1: Set the

Select your preferred market to kickstart the analysis. Brand or retailer are not necessary when conducting a trend analysis to gain a wider perspective. If applicable, you could narrow down your analysis by including the gender .

Next, select ‘Group by: Pattern’ in the top bar to view trend performance broken down by .

Step 2: Analyse the best-selling for the market

Before deep-diving into a specific , get an overview of the different patterns’ performance in the market. 

Trend scores are captured and updated continuously for each . The trend scores reflect either a green or red trend line depending on the performance of the patterns within the selected Periode Tanggal. Learn how our trend scores feature functions di sini.

In the example below, the graphic registered a significant uplift in trend score by +7.3 in comparison to all other patterns in the UK.

Click into a specific for a deeper analysis of the Trend Scorecard, where the ’s performance over time and popularity score can be assessed. In this example, the gap between the graphic (solid line) and all patterns (dotted line) indicates a strong performance as Graphic constantly trended higher than all patterns in the selected timeline. This signals an opportunity to invest in graphic for your next collection. 

You may further identify the top five , Warna and materials for the graphic surfaced along with the trend score graph to gain more insights into Graphic products currently available in the market. 

For example, here we conclude that graphic is adopted most widely across tops made of cotton, in core Warna like black and white.

Step 3: Identify the core patterns offered by a category/sub-category

Toggle over to the ‘Pattern & Colour Contribution’ tab to further identify the core patterns adopted by each category. This can be done by selecting the ‘Split by: Category’ filter. For example, observe that stripes, checked and graphic are the key patterns for tops.

Step 4: Validate best-selling performance for a category/sub-category

It is crucial to validate patterns’ performance before buying.

With the insights gained in previous steps, toggle over to the ‘Pattern Analysis’ tab. Select the category you’d like to analyse from the main filter bar as shown below. It is required to select the retailers atau you would like to benchmark against to understand patterns’ performance.

Select the ‘Sell Out Contribution %’ filter to gauge demand among consumers. Compare the product contribution against kontribusi sell-out to determine if there is a strong demand for a .

In the graphic column, observe that the overall kontribusi sell-out (29.38%) for graphic tops is higher than the product contribution (26.05%) across all retailers, by +3.33%. This positive relationship between kontribusi sell-out and product contribution reflects a promising customer adoption rate for graphic tops.

Poin-poin Penting

Understanding the relationship between patterns and facilitate commercial assortment planning. The adoption of relevant patterns in respective drives stronger customer interest and excitement, which eventually leads to an increase in product sell-out and sales conversion.

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