The sale of many products and services is characterised by strong seasonality. Seasonality models built by Data Science Logic allow to identify such patterns at the level of product category or even specific SKUs.
This allows you to plan your sales activities in advance, ensure adequate staffing and stocks of materials and goods. A good knowledge of seasonal patterns also helps to plan a calendar of promotional activities. Regular monitoring and analysis of the seasonal aspects of business helps to detect changes in consumer habits (e.g. the increasingly early start of the season due to climate change) and adjust the offer accordingly before the competition does.
- Adjusting the calendar of promotional actions to seasonal patterns
- Proactive influence on seasonality of sales through properly planned marketing activities
- Detecting changes in consumer habits and the associated seasonality
Clients: Leading marketer from retail industry