Automated seasonal 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. This technology dynamically adapts to changes in demand through seasons, holidays, weekdays, and weekends, ensuring optimal stock levels at all times.
faster turnover
reduction in lost sales
increased profitability
decreased surpluses after the season ends
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 seasonality forecasting algorithms of LEAFIO AI 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.
When preparing for the season, you need to understand when it starts, where the peak of sales is and when it ends clearly. Continuous demand analysis with AI allows you to calculate future demand and be one step ahead to make the most of changes determined by the season, events or other factors.
The hot season is equally hot for all chains. And in order to avoid a lack of goods and offer your customers the best assortment at the best price, you must purchase or reserve the goods from the supplier in advance. With LEAFIO AI seasonal demand forecasting solution, you don't always have to keep abreast; you can instruct the system to make an order, providing your assortment with everything you need at the right time.
The seasonal assortment is often imported, with the duration of deliveries from one to six months. The system’s model builds sales forecasts taking into account all the factors that will affect sales in 3-6 months.
Predicting the demand for a new product is not an easy task. LEAFIO AI will independently build sales forecasts of new products based on the "clustering" model, taking into account the sales experience of analogs or similar products.
Long-term storage of goods at the distribution center is not profitable as they need to be sold during the season. Therefore, our system calculates the most efficient distribution of goods based on sales forecasts for each store in the chain.
Promotions, shelf life, supplier holidays, and store-level variation run through the same solution, on the same numbers.
Explore Inventory Optimization SolutionWe’re happy to discuss your business’s needs and share how LEAFIO's market-leading, unified platform can help you drive profitable growth across your sales and distribution channels.
Perishables have their own module, but they run in the same system as the rest of your assortment. These modules calculate the orders, adjust for the season, and track write-offs after the fact.
Learn moreThe promotional excellence functional block allows you to prepare for a planned promotional activity timely, automatically receive a calculated promotional forecast, adapt the stock to the actual promotional sales, complete it with the minimum stock, and analyze its effectiveness.
Learn moreBalancing levels is only as good as the demand behind it. These modules build that demand picture and measure how well the network stayed balanced.
Learn moreSeasonality forecasting enables retailers to anticipate demand fluctuations due to seasonal changes, holidays, and weekdays, optimizing resource use and stock levels. This proactive management ensures products are available during peak times, maximizing sales and customer satisfaction. For instance, solutions like LEAFIO Inventory Optimization apply advanced algorithms to enhance the accuracy of these forecasts and improve stock availability.
The most effective technologies for seasonal demand forecasting are those based on AI and machine learning algorithms. These technologies excel in managing large data volumes and uncovering deep insights, which result in more accurate demand forecasting. For instance, LEAFIO Inventory Optimization utilizes these technologies to enhance forecast accuracy by considering various factors such as historical sales data, market trends, and seasonal fluctuations, ensuring retailers can effectively plan for peak periods.
Advanced seasonal demand forecasting software dynamically adapts to changing market conditions by analyzing large datasets to identify trends and anomalies. Systems like LEAFIO Inventory Optimization take this adaptability further by providing various predictive scenarios that cater to different market dynamics. This scenario-based forecasting allows businesses to select the most appropriate model based on real-time data and current trends. As a result, retailers can enhance the accuracy of their forecasts, improve inventory management, and reduce risks associated with overstocking or stockouts, ensuring preparedness for a range of market situations.
