Using Demand Planning & Dynamic Pricing – here’s what you need to know

There's a sweet spot of Availability, Pricing and Customer Experience. Using AI for Demand Planning can help you unlock serious value

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Making the most of your supply chain is crucial to a successful business. However, with so many different factors to consider and optimise in order to achieve peak efficiency, it can be difficult to know where to begin. Demand Planning and Dynamic Pricing can help you unlock significant value. Operational performance is what determines whether your supply chain is helping or hurting your business. With so many different variables at play, itā€™s easy for something to go wrong ā€” especially when there are so many dimensions to keep track of. In this blog post, we will discuss how you can use artificial intelligence (AI) for your supply chain management processes. Weā€™ll dive into the benefits of AI for supply chains, how AI can improve inventory management and pricing strategy, and how you can use AI for customer experience management.

What is AI and How Does it Help Supply Chain Management?

Artificial intelligence (AI) is a system that is designed to think and learn like a human. It is often used in conjunction with computer programming in order to enable computers to complete tasks that would otherwise require human intelligence. While computers have been capable of calculating math problems and automating basic tasks for decades, AI has enabled computers to begin making connections between different data points that would have previously been impossible to process. This has opened up a whole new realm of possibilities when it comes to supply chain management. With supply chain management, your businessā€™s ability to source, produce, and distribute the products or services you sell is the difference between profit and loss. Achieving optimal performance in these areas is crucial. AI can help you leverage data in order to achieve that level of performance and more.

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Inventory Management with AI

One of the most important aspects of managing your supply chain is how you handle your inventory. When you make an order with your supplier, you want to make sure that you have enough inventory in your own warehouse to meet customer demand. But you also donā€™t want to have too much inventory on hand, as it will eat into your profit and could even become a safety hazard. An inventory management system can help you to keep track of how much product you have, when it will expire, and how much you need to order in order to have optimal inventory levels. However, it is important to make sure that your inventory system is accurate, so that you donā€™t run out of product unexpectedly and risk losing customers. A computerized inventory system is typically created using an algorithm that has been carefully researched and tested to ensure accuracy. However, even the most complex algorithm can be thrown off by unexpected data. There are many different variables that could affect the accuracy of your inventory system, including the source of your data, how often you update your data, weather conditions that might affect your suppliers, and more.

Pricing Strategy with AI

As your business grows and you expand your product line and customer base, you will also begin to see pricing strategy decisions become more and more important. You need to understand your customersā€™ price sensitivity, as well as your competitorsā€™ pricing strategy, in order to determine the most effective pricing strategy for your own business. Determining the most effective pricing strategy for your business is a complicated process. It involves compiling data to determine your current pricing strategy, gathering data about your competitorsā€™ pricing strategy, and keeping track of how your pricing strategy is affecting your business. You can use artificial intelligence to track data points related to your pricing strategy. AI can use machine learning to analyze pricing strategy data, as well as data points related to your businessā€™s demographics, industry, and competitors. This can help you to understand how your pricing strategy is affecting your business and whether you need to make any adjustments.

With so many companies struggling with inventory management, being able to strategically match demand and supply, via a dynamic pricing strategy can bring you serious benefits.

Customer Experience with AI

Customer experience has become increasingly important as businesses have moved online. Customer service has always been important, but now it is one of the biggest factors that will determine whether or not a customer will return to your business. Gathering data about your customersā€™ experience with your business is crucial to understanding how you can improve your customer experience. However, manually gathering, tracking, and analyzing data can be a time-consuming and difficult process. We all know that lack of scarcity or overly promoting products can lead to minimal margins. Artificial intelligence can help you to gather data about your customersā€™ experience with your business. AI can listen to how customers are interacting with your website or chatbot, track their browsing history, and analyze their behaviour in order to help you to understand how you can improve your customer experience.

Conclusion

In the end, AI can help to take the heavy lifting out of supply chain management. being able to link Demand Planning and Pricing Strategy can unlock serious value. It will allow you to gather data about your business and understand your customers better. It will even be able to learn from its own mistakes so that it can continuously improve. But it is important to know that AI is not a magic solution. In order to make it work for you in supply chain management, you need to be prepared to put in the work. You need to carefully research and build your AI model, and then be committed to monitoring and updating it over time. If you are ready to make the commitment and you have the resources available, AI can be an extremely powerful tool for improving your supply chain management.

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