#adavanced analytics

In order to operate cash-in-transit (CIT) operations safely and effectively, the banking industry is using transportation data analytics more and more. Transportation expenses and increasing traffic have a negative impact on the logistical operations of the majority of banks. Big data analytics tools do, however, assist banks in managing their cash-in-transit operations. Technology is opening up a range of potential consequences for the banking sector's use of big data transportation analytics. The introduction of big data analytics in the banking sector has made it possible to streamline logistics and improve efficiency while efficiently using resources.

Study of the Big Data Transportation Analytics Solution by Quantzig

The client was able to create flexible transport routes for its cash vehicles thanks to the Quantzig solution. Our big data analytics technology also gave our client the ability to extract information from both stationary and moving sensors, such as GPS information from moving vehicles or flow and speed sensors on the road. The client was able to further assess the procedure and gain precise insights thanks to the retrieved data. In addition to these advantages, Quantzig's solution had the following effects on the client's business:

15% to 20% higher fleet utilisation

decreased idle time and cash-in-transit (CIT)

improved transportation routes

improved network optimization solution development

profit margin rose by 3%.

For detailed solution of the case study Click Here - Big Data Transportation Analytic Solutions Optimized Route Planning for a Banking Client

About our customers A leading manufacturer of skin care products wanted to develop an efficient supply chain strategy to meet customer needs.

After hearing about us from the press, a client decided to reach out to understand how supply chain analytics can take their skin care business to the next level.

Result Use predictive analytics and machine learning techniques to anticipate customer demand and adjust inventory levels accordingly

Business impact With the help of Quantzig's supply chain analytics solution, a leading skin care manufacturer leveraged predictive analytics, modeling and machine learning techniques to predict customer demand and consistently adjust inventory levels. In addition, the client identified the best performing suppliers based on key performance indicators for accurate delivery, on-time delivery, and payment processing. In addition, Quantzig's Supply Chain Analysis engagement has also helped the client optimize its existing supply chain strategy, improving savings and efficiency.

Supply chain analytics insights Quantzig's supply chain analytics help manufacturers across the skincare industry gain metrics to compare their supply chain capabilities to those of their competitors. In addition, businesses can analyze different datasets of inbound and outbound data to analyze factors that influence delivery attributes.

Contact our supply chain experts to learn more about our products.