Presenting the results in a clear and logical format to the client is the most important task. It should be tailored to address the aims and objectives of the survey, and at the same time, consideration should be given to the level of statistical understanding (terminologies) of the clients and users. Statswork transform raw data into a visual story by offering readable and technically acceptable report that balance words, tables, maps, and graphs
StatsWork team provides support in collecting any type of data. We collect various types of data in the field to help our clients innovate the future by making their business model streamlined using machine learning and deep learning models. We also annotate and label the data so that analysts can understand and form meaningful insights for the clients.
Happy customers are the lifeblood of any logistics operation. We go beyond data analysis to uncover insights into customer preferences and satisfaction. By understanding what drives customer loyalty and satisfaction, we help you tailor your services to exceed expectations, resulting in higher customer retention rates and increased business.
Last-mile delivery is often the most expensive and challenging part of the logistics journey. We employ sophisticated route optimization algorithms to help you navigate this complex terrain. By minimizing delivery distances, reducing fuel consumption, and maximizing delivery efficiency, you can enhance your last-mile delivery operations and improve overall service quality.
When companies manufacture and deliver a product it takes time to complete and it should be delivered when there is a customer requirement, so the companies need to predict which products does the customer wants in 2 months advance and plan the manufacturing and deployment stage well in advance. We at Statswork have built an analytical model which forecast and predict the requirement of product in advance and plans for the transportation and logistics strategies to optimize the storage and countering the delay process when transporting the goods.
We here at Statswork have built a sophisticated model which predicts the time taken for storing the goods in warehouse and then to deliver those goods. This time prediction/ forecasting are important as this reduces the time and makes the operation faster. We also planned a model which takes care of workers in this process and also considers the safety of the goods till delivery.
Warehouse management tasks take more time and human effort to organise. Artificial intelligence and machine learning models can acquire data of the warehouse, and then it will predict a safer and better solution to arrange and optimize the management process. Also the model we built will avoid mistakes that are normally made by humans in warehouses.
To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.
To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.
To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.
To attend the diverse needs of the global clients, dedicated pool of resources, managed by Customer and local offshore project and account manager, research and support team.
