Demand Forecasting

Demand forecasting is a field of predictive analytics which tries to understand & predict customer demand to optimize supply decisions by corporate business management. Demand forecasting has certain essential aspects like 

  • The determination of the production level, manpower requirements, equipment and inventory levels.- sentence fragment  
  • Demand forecasting should be done on a scientific basis, and facts and events related to forecasting should be considered.  
  • It is based on the analysis of past demand for that product or service in the present market condition. Demand forecasting should be done on a scientific basis, and facts and events related to forecasting should be considered.  

Our product aims to determine if the level of production, workforce requirements, equipment and inventory levels.  

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Features of the product

Solutions with an Interactive and hassle-free interface and seamless functionality ensure that you get the best of experience. 

Prediction Accuracy

The combination of advanced forecasting and classification techniques makes it possible to calculate the demand forecasts for each of the products accurately; the forecast can be adapted to the particular characteristics of each item on sale.

Advanced Analytics

The use of advanced analytics for demand forecasting improves the quality of forecasts and reduces safety stock and storage costs.

Operational Efficiency

Production and distribution planning solutions, it is possible to achieve high levels of operational efficiency, letting you align planning with future demand and quickly respond to inevitable changes.

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Our products are efficient, durable, ensure peak experience and are apt to solve your most intricate problems and require very low maintenance.

Reduced dwell time – It reduces the dwell time for services level work.

Balance the inventory – It helps in balancing the inventory with the right amount of products. 

Seasonality check – It enables seasonality check so that sales are not much affected by weather and climate conditions.

Order status – It helps in finding out how many orders are help up, where they are located and the items driving backlog. 

Returns – It helps you analyse the returns on your products.

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