Consumer packaged goods (CPG) and retail businesses face increasing challenges in demand planning due to supply chain disruptions, shifting consumer behaviour, and the limitations of traditional forecasting methods. To stay competitive, companies need real-time, autonomous planning solutions powered by AI and machine learning.

This eBook explores how AWS enables CPG and retail businesses to evolve their demand planning processes through automation, intelligence, and cloud-based technologies:

• Overcome supply chain disruptions: Replace outdated batch processing and manual workflows with real-time demand sensing and AI-driven forecasting.

• Improve forecasting accuracy: Leverage machine learning to analyse historical data, external market signals, and real-time consumer demand to improve prediction models.

• Automate demand planning workflows: Reduce reliance on manual processes and tribal knowledge by implementing self-learning AI models that continuously refine planning strategies.

• Enhance decision-making with data-driven insights: Integrate point-of-sale data, weather patterns, social media trends, and inventory analytics to make better supply chain decisions.

• Scale demand planning with cloud computing: Utilise AWS infrastructure to manage large datasets, scale forecasting capabilities, and enable seamless cross-team collaboration.

• Learn from real-world success stories: Discover how industry leaders are transforming their supply chains using AI-powered autonomous planning solutions.

By embracing AI and automation, CPG and retail companies can build more resilient, responsive, and efficient supply chains. Download the eBook to explore how AWS is enabling the future of demand planning.