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5 AI Use Cases for Enterprise Resources Planning (ERP)

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There are several ways in which AI can amplify Enterprise Resource Planning (ERP) systems. Those use cases include sales management, customer service / experience, inventory management, financial management, and human resources. This article provides an overview of those use cases.



AI ERP-AI powers the movie recommendations you get on Netflix and the “what to buy” recommendations on Amazon. This article will elaborate some of the ways in which AI can be used to enhance Enterprise Resource Planning ( ERP) systems.

Here are a few instances of how AI is changing ERP.

1. Sales Management

In sales, an AI algorithm could help you in price optimization, lead scoring, and much more. Using AI, you can predict next quarter’s revenue, sales, etc. more accurately to better manage inventory, resources, and your salespeople’s performance. With an AI system, you can recommend your existing clients a new product or an updated version of the product they are already using, based on their purchase history.

2. Customer Service

AI makes customer service quicker, cost-effective, and consistent. Chatbots are now used to instantly answer customers’ common inquiries. This reduces customer service representatives’ mundane tasks and allows them to step in to handle complex customer queries only. Fetching real-time data from different departments, analyzing from the customer history, and turning large amounts of data into highly readable reports is all possible due to AI.

3. Inventory Management

Good inventory management simply means keeping enough stock to ensure smooth business operations and enough cash reserves. AI in inventory management must be used as a part of the system rather than replacing the system. AI and machine learningtogether can manage demand forecasting, stock levels, inventory optimization, user demands, etc. with great precision.

4. Financial Management

Intelligent bots are automating repetitive accounting functions and streamlining customer service. AI in financial management improves transaction-processing efficiency, verifies statements and reports for accuracy, and predicts future financial results based on trends and market data. AI, with Machine Learning, can also make better judgments from different human inputs and adapt to the behavior patterns of different accounting professionals. Thus, financial management is becoming smarter with AI.

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Article Credit: IotForAll

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