Data Analytics For Shipment Forecasting Solution
About
This US-based healthcare company provides effective medicines for terminal diseases. Their specialty lies in ailments related to cancer and other disorders caused by genetics and heredity. They ship their medications to various locations in the US and aim to have a smooth process in dispatch and transport. Their Trade Sales and Operations team was looking for an accurate forecast of their shipments to aid their inventory management. This would assist their disease care unit keep track of their high-selling medicine monitoring devices and test strips.
Project Highlights
Brainvire developed an efficient data analytics solution that stipulates accurate forecasts of their shipments to facilitate their disease care unit. With the help of state-of-the-art analytics tools and models like Microsoft PowerBI, we empowered the sales and operations team to plan and predict sales accurately and manage their inventory. Data Analytics is the cutting-edge technology that has the power to enable the healthcare industry to manage their inventories and predict their sales meticulously. We leveraged this technology to build an advanced solution for our client. Our analyst experts made use of power bi tools to analyze data, visualize trends, and create accurate forecasts. We developed an application that can track shipment performance and analyze factors such as customer demand, seasonal trends, and market conditions that can affect shipment volumes. With power bi tools, we identified opportunities for cost savings and efficiency improvements. Users can now create interactive visualizations and interactive dashboards that make it easy to identify patterns and trends in shipment data.
The Challenges
- Forecasting the sales:Client wanted to forecast the sales very carefully and precisely.
- Tracking Inventory:Tracking was difficult as data was huge and it was scattered along.
- Import Data:There were multiple data source which client wanted to fetch in one source. It enabled to detect and track items in a warehouse, allowing for real-time inventory tracking.
- Role Specification:There were multiple roles allocated so there was need of authorization.
Tech Stack
Angular
Microsoft SQL Server
Python
.Net core
Azure cloud
ReactJs
Power BI
Result
Sales Predication:
This helped client to predict the complete cycle of production based on the sales. Which helped client to plan a complete workflow and manage the supply.Inventory Tracking:
This helped client to track down a complete detail information of inventories. And also were apply to track the current supply status based. This system helped the user to organize their inventories, track the stock levels and also provide an efficient way to manage the supply chain.Single Data Source:
It was easy to fetch the required data easily and quickly. It helped as data was imported at single source. The data was clean and organized, which made it easier to work with. Also, the data was provided in a consistent format, which helped in making the analysis much easier.Role Authorization:
It allowed role based authorization to reports which can be fetched as per the need. Enabled creation and management of user roles and their associated access rights.
