Data & Innovation • Transportation & Logistics • AWS
Intelligent demand forecasting with AWS
The company transforms its planning with a data-driven approach on AWS, improving forecast accuracy and operational efficiency.
About the client
With more than 20 years of experience in cross-border publishing and e-commerce in emerging markets, it helps international companies optimize their courier and postal services in Latin America.
It currently delivers over three million international parcels per month in the region.
Needs
The company faced challenges in its demand forecasting processes, which were carried out manually and relied almost exclusively on the knowledge of the commercial team.
This methodology limited the use of available data and generated inefficiencies in decision-making, affecting key aspects such as price planning, promotions and assortment.
Solution
Nubiral proposed laying the foundations of a data-driven approach using AWS cloud services, designing a new forecasting process that incorporated analytical models and greater visibility into market behavior.
Results
The implementation enabled a successful transition from a manual model to a data-driven planning process. A significant improvement in forecast accuracy was achieved, positively impacting commercial decision-making and supply chain efficiency.
The client optimized assortment, pricing and promotions management, moving toward a more efficient operating model supported by reliable information.
