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Retail Pricing: How to set the price Right?

Especially in retail, in the fierce competition, price is quite sensitive.

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.

The Impact of Artificial Intelligence on Innovation

Business is a global game, where countries compete with each other to win the hearts and minds of their people as well as capturing the markets of other countries. This is a quite challenging task and hence organizations have to focus on strategic planning, research & development in order to gain competitive advantage.

How to improve customer experience

What is cost containment

Cost containment is the practice of ensuring that expenses do not exceed revenue. By monitoring expenses and reducing them in a controlled manner, companies can reduce their risk and ensure profitability.

Coca-Cola and its consumer’s behavior.

Coca-Cola is one of the most recognized brands in the world, but this popularity is largely due to the way its consumers interact with it.

Acquisition of new customers vs retaining existing ones, which one is more challenge?

Majorly, customer retention and acquisition are the two types that can affect business sustainability and growth. Any business relies on the efficacy of its employees and the loyalty of its customers.

Business Intelligence and Data Science

Recently, the field of Data is increasingly being interested by many young people and wants to pursue their career path. However, there are many small areas related to Data that can be confusing: Data Science vs. Business Intelligence. Generally speaking, in order to interpret the situation accurately, two aspects should be considered: similarity and differences between data science and business intelligence. Prior to this article, most people think that "data science" and "business intelligence" are completely different roles. However, if you carefully analyze these different positions, it turns out that this view is not absolutely accurate! For example, some products use the technology of artificial intelligence-based data mining for mining raw data; In addition to the raw data storage platform without processing requirements (storage), a typical processing platform can only manage a single kind of work release experience management system; Other cloud applications may have greater functionality or integration options such as real time processing or mobile interface capabilities But by its nature, compared to traditional methods such as statistical analysis mathematical model analysis on large amounts of historical data It should be noted that due to its high computational requirements This type of application has nothing to do with traditional business intelligence (BI) platforms available today

How IoT (Internet of Things), wearables, or smart devices can be integrated to provide automated customer service

What is the internet of things (IoT)? The Internet of Things (IoT) is a system of interrelated computing devices, mechanical and digital machines, objects, animals or people that communicate over the network without requiring human-to-human or human-to-computer interaction.

Comment on Prediction, Judgment, and Complexity: A Theory of Decision Making and Artificial Intelligence

There is widespread discussion regarding the impact of machines on employment. In some sense, the discussion mirrors a longstanding literature on the impact of the accumulation of capital equipment on employment; specifi cally, whether capital and labor are substitutes or complements. But the recent discussion is motivated by the integration of software with hardware and whether machines might also be involved in mental activities such as problem solving (similarly to how computers and software have played a role in such activities).