The Power of Data Analysis with an ERP: Maximize Your Company's Performance
About
MAPFRE is a global insurance company that offers a wide range of products and services to protect individuals and businesses, including life, health, auto, home insurance, and more.
Industry
Project, type
Company Size
0-10
Headquarters
Paraguay, Asunción
An ERP is not only a tool for managing business processes, but it can also be a powerful data analysis tool.
With the increasing amount of information being generated in companies, it is essential to have a solution that allows us to collect and analyze this data to make informed decisions. In this article, we'll explore 5 key points about how an ERP can help you with data analysis.
The lack of accuracy in demand forecasts and the variability of lead times resulted in frequent stockouts and overstock situations.
The lack of accuracy in demand forecasts and the variability of lead times resulted in frequent stockouts and overstock situations.
TechWave, a leading manufacturer of electronic devices, faced significant issues.
The lack of accuracy in demand forecasts and the variability of lead times resulted in frequent stockouts and overstock situations. These problems not only affected the company's ability to meet customer demand but also increased operational costs due to unnecessary inventory storage and losses from obsolete products.
The main challenge for TechWave was to implement a solution.
The platform enabled the company to forecast demand accurately and optimize inventory levels accordingly. Furthermore, it integrated seamlessly with TechWave's existing ERP systems, ensuring smooth data synchronization and easy implementation. The use of interactive dashboards and real-time reports facilitated data visualization and analysis, providing inventory managers with the necessary tools to make data-driven decisions.
TechWave, a leading manufacturer of electronic devices, faced significant issues with inventory management.
The lack of accuracy in demand forecasts and the variability of lead times resulted in frequent stockouts and overstock situations. These problems not only affected the company's ability to meet customer demand but also increased operational costs due to unnecessary inventory storage and losses from obsolete products.
After implementing the predictive analytics solution, TechWave experienced:
In summary, the predictive analytics solution enabled TechWave to transform its inventory management, achieving more efficient and profitable operations, and providing better service to its customers.