Savings in costs
Large Players in the logistics space have SLAs attached in contracts with their customers. These SLAs usually come with a penalty clause attached which are invoked if the SLA is not met.
The company's current route optimization process was manual and time-consuming. Employees would spend hours manually planning routes, and they would often make mistakes. This resulted in missed deliveries, which were costly for the company.
We identifed the need for data-driven approach in daily route planning, number of vehicles required and optimal assignment of shipments.
Ganit proposed a cloud-based architecture leveraging AWS services, providing scalability, flexibility, and cost-effectiveness. AWS Redshift was chosen as the central data warehousing tool, offering high-performance, columnar storage, and distributed query processing capabilities. S3 was utilized as the source repository for data, allowing for scalable storage and easy accessibility. Ganit implemented Glue jobs and Lambda functions for efficient data ingestion, transforming raw data into a suitable format for analysis.
There was a 15% savings in cost with zero missed deliveries. The delivery team no longer had to strech to meet the deadlines. Number of vehicles used for delivery was brought down by 25% on average.The company was able to improve customer satisfaction by delivering packages on time and in good condition.