What are the best ways to improve your demand forecasting skills? (2024)

Last updated on Dec 15, 2023

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Understand your data sources

2

Choose the right forecasting method

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3

Use software tools and models

4

Collaborate with other departments

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5

Update your forecasts regularly

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6

Seek continuous improvement

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7

Here’s what else to consider

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Demand forecasting is the process of estimating the future demand for your products or services based on historical data, market trends, customer behavior, and other factors. It is a crucial skill for inventory management, as it helps you plan your purchasing, production, distribution, and storage activities to meet customer needs and avoid overstocking or understocking. In this article, you will learn some of the best ways to improve your demand forecasting skills and optimize your inventory performance.

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What are the best ways to improve your demand forecasting skills? (4) What are the best ways to improve your demand forecasting skills? (5) What are the best ways to improve your demand forecasting skills? (6)

1 Understand your data sources

The first step to improve your demand forecasting skills is to understand where your data comes from and how reliable it is. You should collect and analyze data from various sources, such as sales records, customer feedback, marketing campaigns, competitor analysis, industry reports, and external events. You should also check the quality and accuracy of your data, and address any gaps, errors, or inconsistencies. By understanding your data sources, you can ensure that your demand forecasts are based on relevant and reliable information.

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  • Examining data rigorously before formulating a forecast is an essential precautionary measure. Any observed irregularities, for example significant fluctuations in marketing figures or sales numbers, warrant careful scrutiny. Interrogating these deviations before finalizing a forecast is imperative to mitigate the risk of potential inaccuracies which could lead to sales loss in case of out of stock scenarios or excessive inventory which might have a significant impact on the bottomline of your business.

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    What are the best ways to improve your demand forecasting skills? (15) 3

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  • Dilmi Kaluarachchi Results-Driven Supply Chain Executive | Procurement In-charge | Lean Six Sigma Yellow Belt | Driving Efficiency and Optimization Across Global Operations.
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    Firstly, staying informed about industry trends and market dynamics is crucial for accurate predictions. Actively engage with historical data to identify patterns and trends, and leverage advanced forecasting tools and software to enhance accuracy. Collaborate with cross-functional teams, including sales and marketing, to gain insights into market demand drivers. Regularly evaluate and adjust forecasting models based on real-time feedback and changing business conditions. Continuous learning through industry seminars, workshops, and staying updated on technological advancements in forecasting methodologies ensures a well-rounded skill set for effective demand prediction.

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2 Choose the right forecasting method

The second step to improve your demand forecasting skills is to choose the right forecasting method for your situation. There are different types of forecasting methods, such as qualitative, quantitative, causal, and time series. Each method has its own advantages and disadvantages, depending on the level of detail, complexity, and uncertainty involved. You should select the method that best suits your data characteristics, business objectives, and available resources. You should also evaluate the performance of your chosen method and adjust it as needed.

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3 Use software tools and models

The third step to improve your demand forecasting skills is to use software tools and models that can help you automate, simplify, and enhance your forecasting process. There are various software tools and models available, such as spreadsheets, enterprise resource planning (ERP) systems, artificial intelligence (AI), and machine learning (ML). These tools and models can help you process large amounts of data, apply sophisticated algorithms, generate multiple scenarios, and visualize your results. You should use the tools and models that fit your budget, skill level, and business requirements.

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  • Dilmi Kaluarachchi Results-Driven Supply Chain Executive | Procurement In-charge | Lean Six Sigma Yellow Belt | Driving Efficiency and Optimization Across Global Operations.
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    Enterprise Resource Planning (ERP) systems provide a comprehensive platform for overseeing various aspects of inventory, integrating processes across departments. Warehouse Management Systems (WMS) enhance efficiency by automating tasks related to receiving, picking, and shipping. Additionally, demand forecasting models leverage data analytics to predict future demand, aiding in strategic planning and preventing overstock or stockouts.

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  • Tan Teck Khim , MBA Senior Service Manager at Machines Sdn Bhd
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    CRM provides a comprehensive sets of Big Data for your customer's preference. Just make sure the data is accurate!Eg: For after-sales service industry , data such as : a) Customer's purchasing trend - let you know which model to keepb)Customer's servicing trend - let you know which part to keepc) Customer warranty claim trend - let you know which model having quality issue

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4 Collaborate with other departments

The fourth step to improve your demand forecasting skills is to collaborate with other departments that have an impact on or are affected by your demand forecasts. These departments may include sales, marketing, finance, production, and logistics. By collaborating with other departments, you can gain valuable insights, feedback, and support for your demand forecasts. You can also align your forecasts with the overall business strategy and goals, and coordinate your inventory actions with the rest of the organization.

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5 Update your forecasts regularly

The fifth step to improve your demand forecasting skills is to update your forecasts regularly and monitor their accuracy. You should review your forecasts periodically and compare them with the actual demand outcomes. You should also track and measure the key performance indicators (KPIs) of your forecasts, such as forecast accuracy, forecast error, and forecast bias. By updating your forecasts regularly and monitoring their accuracy, you can identify and correct any deviations, errors, or biases in your forecasts. You can also improve your forecasting skills by learning from your mistakes and successes.

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6 Seek continuous improvement

The sixth step to improve your demand forecasting skills is to seek continuous improvement and innovation. You should always look for ways to improve your forecasting process, methods, tools, and models. You should also keep up with the latest trends, technologies, and best practices in demand forecasting and inventory management. By seeking continuous improvement and innovation, you can enhance your demand forecasting skills and stay ahead of the competition.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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