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  • Writer's pictureAnantaya Pornwichianwong

AI Demand Forecasting: Overcome Crucial Challenges in Manufacturing



Modern manufacturing has become increasingly complex and advanced due to the influence of both major and minor players, as well as the changes in the globalized world. Businesses must strive to keep pace with these changes and address increasingly complex challenges.


In our previous article, we examined the challenges facing the modern manufacturing industry (you can read more about these in '4 Critical Challenges in the Manufacturing Industry'). In this article, we will delve deeper into a demand forecasting solution with the potential to revolutionize manufacturing, providing it with the tools needed to effectively navigate challenges and thrive in this evolving era.



Challenges in demand forecasting


Traditionally, demand forecasting relied on the expertise and personal experience of demand planners. While manual forecasting suffices for small-scale or stable industries, today's manufacturing sector confronts increasingly complex challenges:


  1. Increase in external factors: The manufacturing industry faces the influence of numerous external factors, such as market trends, economic fluctuations, seasonality, promotional campaigns, and even pandemics. These variables make it increasingly challenging to predict customer demands accurately.

  2. Expanding product ranges: A growing number of products complicates demand forecasting. More products translate to increased details and workloads.

  3. Data accuracy: Reliable forecasts hinge on high-quality and accurate data. Inconsistent or incomplete data pose significant obstacles to generating precise predictions.


When production doesn't align with customer demands, it leads to overstocks or stockouts, resulting in costs and lost sales that can negatively impact businesses.



AI demand forecasting solution for manufacturing


AI demand forecasting is an advanced data analytics solution that harnesses artificial intelligence to predict customer demand for specific products and services within defined timeframes. These predictions are derived from factual data.


AI demand forecasting solution aggregates and analyzes diverse data sources, including sales records, market trends, customer behaviors, weather, economic factors, and environmental conditions. Using machine learning models, AI predicts customer demand in real time and for the future. This empowers businesses to align production with customer needs efficiently, save time, and adapt effectively to varying situations.


Benefits of AI demand forecasting solution for manufacturers


  1. Enhance demand planning: AI improves demand planning accuracy, enabling informed decisions amidst changing circumstances.

  2. Reduce workload: AI replaces manual planning, reducing workload, enhancing accuracy, and freeing up staff for higher-value tasks.

  3. Improve inventory management: Accurate forecasting reduces overstocks and stockouts, leading to better customer satisfaction.

  4. Optimize production planning: AI enables more cost-effective production scheduling, resource allocation, and production capacity management.

  5. Enhance supply chain management: Reliable forecasts inform decisions on material sourcing, production, logistics, and distribution, reducing lead times and enhancing customer satisfaction.

  6. Gain competitive edge: Understanding customer needs allows businesses to rapidly meet demands, optimize resource utilization, and increase sales opportunities.



Furthermore, with reliable demand forecasting solutions and accurate predictions, businesses can utilize these insights to further boost the efficiency of other tasks, such as:


  1. Production Optimization: Leverage AI to analyze production processes, identify areas for improvement, and design optimized processes that reduce costs and increase production capacity.

  2. Inventory Optimization: Harness AI to manage inventory effectively, align stock levels with customer demands, and minimize the risk of overstocking or stockouts, ultimately maximizing profits while minimizing costs.

  3. Scenario Planning: Utilize AI to predict potential scenarios, whether they present opportunities or setbacks. For instance, AI can help anticipate how market trends might impact the business and enable the creation of robust plans and strategies to navigate these scenarios effectively.


With our extensive expertise and a history of successful collaborations with leading clients in Thailand and across Asia, we are steadfast in our belief in the power of AI to unlock the full potential of businesses across diverse industries. Our commitment is to create and deliver top-tier solutions to our clients, including demand forecasting and a spectrum of AI-driven innovations. Each solution is meticulously crafted to address the unique characteristics and specific challenges of our clients.


Partner with us to unlock new potential and drive your businesses to the future.


Learn more about solutions for manufacturing from Sertis https://www.sertiscorp.com/ai-manufacturing


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