Large retail companies face the challenge of optimizing supply chain needs in a marketplace where companies are managing an ever-increasing range of products. To do this, they need reliable order forecasting mechanisms and optimization algorithms that ensure product availability and its impact on costs.

Control orders down to the last detail with advanced analytics techniques

Through sophisticated predictive analysis and machine learning algorithms, it is possible to forecast product needs while taking into account seasonality, trends, life cycles, safety stock and inventory levels to ensure the stock levels needed in your business.

At decide, we are experts in using analytics techniques to help you in your business. First, we use predictive analysis to anticipate requests, significantly increasing the reliability of forecasts, which will let you react quickly to changes in behavior.

Then, through prescriptive analysis, our algorithms will identify the most suitable decisions for your business in order to achieve success while reducing storage costs and increasing profitability. We will help you determine the best options possible at any given time through planned replenishment.

Do you want us to analyze your problems and offer you the best order management solutions?

Our technological solutions

Our technological solutions

Technological solutions

big data ecosystems

virtual agent

machine learning

mathematical optimization

rule-based systems

Technological solutions

big data ecosystems

virtual agent

machine learning

mathematical optimization

rule-based systems

Business solutions

optimal staff scheduling

workforce analytics

distribution route planning

replenishment optimization

production planning

predictive maintenance

sales and marketing planner

product pricer

demand forecasting

Business solutions

optimal staff scheduling

workforce analytics

distribution route planning

replenishment optimization

production planning

predictive maintenance

sales and marketing planner

product pricer

demand forecasting