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1
Introduction to Retail Forecasting and AI
2
Why Forecasting is Essential in Retail
3
Challenges in Retail Forecasting
4
Introduction to Prompt Engineering
5
Techniques in Prompt Engineering
6
Applications of Prompt Engineering in Forecasting
7
Practical Implementation and Considerations
8
Future Trends in AI and Retail Forecasting
9
Conclusion and Contact Information
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore retail forecasting optimization through AI models in this 38-minute conference talk from Conf42 Prompt 2024. Discover the fundamental importance of forecasting in retail operations, addressing key challenges that businesses face in prediction accuracy. Learn essential prompt engineering techniques and their specific applications in retail forecasting scenarios. Gain practical insights into implementing AI-driven forecasting solutions, including real-world considerations and best practices. Examine emerging trends in artificial intelligence and their potential impact on retail forecasting methodologies. Through detailed examples and comprehensive explanations, master the integration of prompt engineering with retail forecasting systems to enhance prediction accuracy and business decision-making processes.

Optimizing Retail Forecasting Through AI Models

Conf42
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