Seasonality – the range changes through seasons, holidays, weekdays and weekends. Automated demand forecasting and auto ordering gives the retailer a competitive benefit – you will be ready for the season in advance and use resources as efficiently as possible.
Seasonal sales peaks can last from a few days to weeks or months. To successfully enter the season and finish it without write-offs, the ML-based algorithms of LEAFIO allow you to prepare in advance. Considering each seasonality type will help you to quantitatively and qualitatively improve the indicators of each location and the whole chain.
faster turnover
faster turnover
reduction in lost sales
reduction in lost sales
increased profitability
increased profitability
decreased surpluses after the season ends
decreased surpluses after the season ends
Using seasonality coefficients, the system calculates the demand and expected seasonal sales of the chain, store, and SKU levels accurately. Your customers will receive the goods they need on time and in the right quantity, and you will avoid write-offs and lost sales.
Considering weekly seasonality factors, sales forecasts, the start of the season and delivery schedules, the system automatically calculates when to send an order to an external supplier so that the goods appear in DCs and stores before the start of the season.
With a vast demand forecasting horizon for imported goods, the system ensures the timely ordering and delivery of goods to outlets to meet the needs and loyalty of your customers.
Unique algorithms for identifying similar products allow you to accurately predict the sales of a specific new product in a season at the SKU and store level. Thus, you can expand your assortment, plan your sales accurately, and avoid overstocks and write-offs.