In xFarby.sk, a specialised online store for paints, coatings and painting supplies, AI connects sales data, seasonality and weather information. The outputs help the team better estimate demand and plan campaigns, stock levels and commercial priorities.
Paint sales change depending on the time of year, weather and the types of projects customers are currently working on. The team needs to identify early which categories may grow in a specific period so it can prepare communication, stock and commercial activities around them.
We prepared a model that works with historical sales, seasonality and meteorological data. It tracks patterns in the data and prepares demand estimates for selected products or categories.
The model outputs help the team identify products and categories with higher potential in a specific period earlier. Based on this data, it can time campaigns more accurately, prepare stock or adjust commercial priorities according to expected demand.
The team can see earlier which categories may grow in the upcoming period. For an assortment tied to seasonality and weather, this brings more accurate campaign planning, better stock preparation and faster decisions about commercial focus.
