Logistics companies thrive on speed and agility. To process and ship orders with efficiency, access to accurate information from supply chain providers is essential for any ideal operation. Supply chain forecasting tools are among the most powerful software solutions available for logistics companies.

Engineered to make the fulfilment process more intelligent, supply chain forecasting software helps logistics companies boost efficiency, improve warehouse performance, and accurately manage capacity using cutting-edge data science and predictive analytics.

Popular methods of supply chain forecasting

Supply chain forecasting models empower logistics providers to make decisions through data. There are three types of forecasting solutions often used by logistics companies:

Supply forecasting , which analyses supplier data to determine product quantities and dates of availability.

, which analyses supplier data to determine product quantities and dates of availability. Demand forecasting , which analyses customer data to determine purchasing patterns and customer behaviour.

, which analyses customer data to determine purchasing patterns and customer behaviour. Price forecasting, which takes into account supply, demand, and external factors such as weather to determine the cost of goods throughout the supply chain.

Armed with forecasting information, logistics providers can transform their organization into an intelligent, streamlined operation.