Alyuda Forecaster is a platform for demand forecasting. The solution is based on the most effective system of forecasting: neural networks. Neural networks are intended for working with unstable, non-linear and quickly changing processes, allow working effectively with "noisy" information and can summarize large volumes of data. Forecast based on a number of factors including sales volume for the previous period, day status (work day, weekend, holiday), seasonality, current volume of trade balance, supply periodicity, minimum incompressible stock and more.
Forecasting consumer demand is extremely important for retail companies, since non-optimal planning of purchases results in significant losses, freezing of funds, decrease in assets turnover, decrease in Return On Capital and decrease in liquidity. Insufficient or belated purchases of goods leads to decreases in sales volumes and negatively impacts customer loyalty. Effective planning means optimal time and volume of purchases, resulting in increase in sales and in customer loyalty, optimization of stocks, decrease in the quantity of goods with low liquidity, increase in turnover, decrease in losses for the retailer, and minimization of human error in forecasting.
CabinetM helps modern marketing and sales teams manage the technology they have and find the tools they need. The CabinetM marketing technology management platform enables full lifecycle support around technology discovery, qualification, implementation, and management. Marketing teams using CabinetM gain critical visibility and leverage to save time, money, drive revenue, and manage digital transformation. The company has built the industry’s most comprehensive database of over 15,000 marketing tools across 500+ categories, and currently has the largest set of marketing stack data as a result of hundreds of marketing stacks that have been built and are being managed on the platform.Read more ›
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