Tech Stack
- .Net core
- Azure cloud
- jQuery
- Microsoft SQL Server
- Power BI
- Python
- Web API
About Client
The client is a foremost logistics service provider that help people to move the cargo in any corner of India with the range of over 600 GPS-enabled vehicles. For more than 58 years, the load transportation ranging from small to the full truck loads alongside door pickups, storage, warehouse, doorstep delivery and other value added services are offered to the customers. The client aimed to make the company as the most preferred choice for single-window cargo management & logistics services provider.
About Product
The client was looking for Microsoft Enterprise solution company for Logistic ERP Solution for Cargo Management, henceforth approached Brainvire for the consultation. Our Brainvire team created a .Net Core web application to meet the clients' needs and offer simplified Cargo Management solutions. It includes cargo management from small (10 kg) to full truck loads, alongside door pickups, Storage Management, Warehouse Management and Doorstep delivery and GPS based real-time tracking. It also includes tracking shipments, creating and managing invoices, and generating reports. The organization is able to view the status of their shipment, as well as view the estimated time of arrival. The application allows organization to generate reports based on their cargo items and shipments. This includes creating reports on the total number of items shipped, the total amount of money spent on shipments, and the total number of shipments delivered.
Real-time Tracking:
After the orders were dispatched there was no way to track the real time status of the order.
By using using GPS tracking, and other advanced tracking technologies, our team was able to provide a solution that tracked the real-time shipment tracking of a orders. It will allow company to view the status of order, view estimated delivery times and estimated arrival dates.
Solution
The Challenges
Result
- Eliminating RedundanciesNo more manual work this helped organization to automate tasks and processes, thereby improving their overall efficiency by streamlining processes and eliminating redundancies.
- Identify OpportunitiesIt enabled users to quickly detect patterns, identify opportunities, and make better decisions. With its advanced analytics capabilities, SAS Visual Analytics can be used to create predictive models and derive insights to help with Tracking Inventories
- Improved efficiencyReal-time tracking helped the company improve their efficiency, as it allowed them to monitor shipments in real-time and quickly address any issues that arise. This helped them reduce delays and ensure shipments arrive on time.
- Accuracy in Sale CalculationHelped visualize the trends in sales over time by displaying the total sales for each day, week, or month. The line chart also allowed for comparison of sales data from different time periods. It can also be used to compare sales figures from different locations or different products.