Optimise seasonal
patterns
Reuse specific sales characteristics
Increase profitability of SKU’s per sales period
Make the most of seasonal pattern
Do you have specific seasonal articles that have an impact on your logistics chain? Or do you have a never out of stock (NOOS) collection that is sold during certain recurrent periods? For example: skin-coloured lingerie in the summer or white T-shirts under a dress shirt in the winter.
You can use the ‘seasonal trends’ module to reuse the specific sales characteristics of an assortment in Smart Supply that repeat themselves across seasons. At the beginning of a seasonal sales period, you can increase the target levels of these SKU’s to last year’s sales targets. This creates the ideal profile for each article, per location and per sales period.
“With the change of seasons we saw that without using the ‘seasonal trends’ module, it took a number of weeks before our stock levels were up to date. Now at the beginning of a new season we immediately see that the correct targets are set higher or lower. That results in far less back orders and overstock.”
Merchandise Manager, Triumph
More possibilities with Smart Supply
Personalised stores
You only have a limited number of square meters per store. Are you continually looking for the optimal way to lay out your assortment?
With the ‘personalized stores’ module you have a step-by-step guide to increasing your unique sales potential based on consumer data. The result is a unique store assortment that matches the consumer demands of a specific location.
Event
planning
After an event, like a sale, are your stock levels unbalanced? During a promotion is a product in one store selling faster than in other stores?
With the ‘event planning’ module you send inventory only where it’s needed. Without affecting your target level calculations.
Initial allocation
Do you struggle with allocating your initial inventory at the beginning of a season for your stores or customers?
With the ‘initial allocation’ module you let go of your fixed target levels. Based on the realised sales data of other (comparable) article groups, you can get customised advice for each store. From the first allocation, you can sell more using the same inventory.
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