DEMAND INTELLIGENCE

THE FORECAST IS A TOOL TO REDUCE THE DEGREE OF APPROXIMATION AND UNCERTAINTY IN DECISIONS.

ALL YOU NEED IS UBLIQUE

Demand Intelligence is more than a simple demand forecast based on historical data. To face the ever-changing customer demand, the fast evolution of the consumer markets and almost unpredictable global events like Covid-19 you need not only to be able to process inhuman quantities of data from infinite data sources, but to transform them into immediate and accurate business decisions.

How many forecasts should you make each day?

DO YOU THINK YOU HAVE CONTROL OF YOUR DEMAND FORECAST?

CORE FEATURES & BENEFITS

01

Our Demand Intelligence solution uses artificial intelligence, predictive analytics and machine learning algorithms

Our Demand Intelligence solution uses artificial intelligence, predictive analytics and machine learning algorithms to analyze in depth all historical data and to predict the future demand by considering all internal and external factors that could possibly have an impact on your long and short-termed demand forecasting and planning process. An accurate demand forecast is the key to smarter business decisions and helps you not only to anticipate but to drive future demand.

02

The Demand Intelligence solution: a multi-echelon inventory optimization tool

The Demand Intelligence solution consists of a multi-echelon inventory optimization tool. Based on a forecast, it defines the number of products required to replenish DCs, warehouses, or stores. It calculates the stock-projections, considers all the elements impacting such projection, and defines the optimal quantity. The objective is to minimize stocks and avoid stockouts. It can be applied to different types of products, including fresh food. A vertical feature involves the replenishment of the fashion and luxury brand market.

03

Demand intelligence for the optimal number of products to buy/supply during a promotion

A specific function of the Demand Intelligence solution defines the optimal number of products to buy/supply, managing the risk of overstock and stockouts based on a forecast of the quantity that will be sold within a certain period, such as during a promotion or other indexes. The optimization module has a multi-objective function to limit excess stock and the stock-outs and to support the decision regarding the dimension of production lots.

CASE STUDIES

CASE STUDY | RETAIL

WAREHOUSE OPTIMIZATION & SIMULATION

Process re-engineering via math-optimization and simulation technology applied to an extensive picking distribution center in the retail industry.

CASE STUDY | CAR RENTAL

FLEET CAPACITY ANALYSIS & REVENUE MANAGEMENT

Advanced prescriptive analytics & machine learning for optimized capacity and revenue management.