Article | May 29, 2018

5 Ways Predictive Analytics Helps Retailers On Father's Day

Source: Retalon

By Adrian Silipo, Marketing Manager at Retalon

Father's Day

At $16 billion annually in sales in the United States, Father’s Day represents retail’s sixth largest selling season. By leveraging predictive analytics, retailers can make sure they’re maximizing their return on the event. Predictive Analytics can help you forecast demand, uncover which products have uplift potential, allocate merchandise across channels and stores, and optimize your timing, pricing, and promotions. It takes the guesswork out of merchandising for you as a retailer, so you won’t fall victim to these common Father’s Day retail challenges:

1) Identifying unexpected seasonal merchandise within your assortment

As a retailer, you already know that categories such as menswear, tools, automotive, and electronics, will see a huge uplift on Father’s Day, but categories that appear to have no uplift may have potentially high performing anomaly items within them. The problem is that most retailers will miss these would-be hot-sellers because they don’t have the ability to see data at a more granular level like SKU/store.

Even if a retailer does look at the SKU/store level they may still miss the true sales potential of the item during the seasonal peak. This is because last year’s sales do not represent the item’s true demand. When an inventory analyst looks at last year’s sales of a Bruce Springsteen CD, they may not see a spike on Father’s Day because the item was never considered seasonal and only regular quantities were stocked year after year. An advanced predictive analytics system will identify the true demand of every single SKU/store, enabling retailers to take advantage of high-performing Father’s Day products that they’ve never considered before.