Foresight
Predict demand and anticipate issues in a constantly changing world. An app dedicated to supply chain, demand planning, production and operations.
Business challenge
How can I predict the demand for a product accurately?
... What if my product is subject to seasonal, environmental, pandemic and geopolitical variables?
How can external data also be used to optimise demand planning and related processes?
How can I regain efficiency without wasting so much time filling in spreadsheets?
An effective solution to your needs
Companies are periodically confronted with the demand planning process, which is characterised by a high degree of manual work and poor integration with the systems that have to feed or receive processing. An error-prone process in which predictions are often based only on experience and are not supported by a scientific method and algorithms.
Thanks to Artificial Intelligence, demand can be predicted accurately, avoiding stock shortages, and in a manner harmonised with the other business functions involved. Foresight is the application that improves the forecasting process by making estimates more accurate and minimising users' manual work.
Unique benefits of Foresight
Enables users to switch from forecasting to foresight: the future doesn’t depend on the past alone.Foresight is a tool that helps you to predict the unexpected in an intelligent way, supporting you in your daily work, just like a virtual assistant.
With Foresight you can forget about supply risk and stock shortages, avoiding unsold stock and wasted resources and money. It also offers benefits for production and process sustainability.
Areas of application
Manufacturing
Retail
Food
Fashion
Mass retail
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Processes
Supply Chain
Demand Planning
Logistics
Operations
Production
The benefits of choosing us
Successful cases
Fashion
A well-known Italian fashion retailer has more than 1,000 outlets ordering from a sample collection of thousands of items.
Production waits for the number of pieces per article/colour/size, and an order cycle takes over 45 days to cover the entire set of shops worldwide. This company has different brands, different seasons, different releases: more than 30 order collection cycles in a year.
With Foresight it achieved a 30% improvement over previous standards of forecast accuracy, and restructured the process with a 40% reduction in time spent on manual processing.
Component manufacturer
A manufacturer of engine components in the agricultural and industrial sector needed forecasts for individual products, with the option to sort them by individual elements on the bill of materials. It was necessary to reduce the lead time and improve reactivity and reliability of deliveries, and to increase the accuracy of demand forecasting, reducing variability deriving from sales-force estimates.
The goal was achieved using Foresight, with a 50% reduction in manual effort, a 70% increase in forecast accuracy and a real reduction in lead time.
The goal was achieved using Foresight, with a 50% reduction in manual effort, a 70% increase in forecast accuracy and a real reduction in lead time.
Food
The frozen-food retailer in question has to deal with a market that is strongly influenced by seasonal variations and food trends.
Forecasting focuses on both buyers (sell-in) and sales points (sell-out). The purchase need is tied to very limited periods (e.g. fished goods), and forecasts are focused on central purchases and breakdown of forecasts by individual sales point.
The adoption of Foresight led to a 30% increase in forecasting precision, on-time deliveries and automation of forecasting for quantities of product lines that were otherwise unmanageable.
Forecasting focuses on both buyers (sell-in) and sales points (sell-out). The purchase need is tied to very limited periods (e.g. fished goods), and forecasts are focused on central purchases and breakdown of forecasts by individual sales point.
The adoption of Foresight led to a 30% increase in forecasting precision, on-time deliveries and automation of forecasting for quantities of product lines that were otherwise unmanageable.