Pricing is one of the most important decisions that a retailer can make. A pricing strategy dictates how much money a business will take in, and if it’s done incorrectly, it can lead to lost revenue and unhappy customers. So how do you set retail pricing so that it’s fair for both your business and customers? In this blog post, we will discuss the various aspects of retail pricing and the different strategies you can use to determine the best price for your products. We will also look at some of the key factors to consider when creating a pricing strategy and highlight common mistakes to avoid.
Read more ...Machine learning (ML) and Artificial intelligence (AI) are potentially game changing technologies that are transforming the industrial sector. Developing a Smart Factory is an opportunity to be competitive, to optimize timelines and make product design and production more efficient. Quality, worker safety, and sustainability are the fundamental pieces where these technologies can participate in the redesign towards high productivity, much safer, and more sustainable manufacturing. Manufacturing companies are responsible for ensuring their products meet the highest standards of quality, safety and sustainability. Finding new applications to increase their competitiveness and finding a way to remain safe in an ever-changing industry. This program develops leadership skills, enabling students to face challenges with confidence and find creative solutions. Modern supply chains are increasingly relying on data sources for operations to become more sustainable and profitable. However, this doesn't have to be just another tick box exercise. The role of data is to help all stakeholders—including consumers and companies alike—benefit from increased efficiency and performance. Thus, it is essential to integrate the data-driven approach into the strategies, planning and implementation phases of supply chain management. Here are some of the benefits of a data-driven process revolution:\
Read more ...Traditional BI solutions have grown progressively more complex and costly over the last decade. They also require users to be formally trained as well as managed. These issues are compounded by the lack of a comprehensive solution for every industry, use case and size environment. In this era of big data, it is crucial to understand what makes a business intelligence framework so successful — and understand how you can adopt and leverage it in your own organization.
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