1. Data Collection: Gather data on customer behavior, market trends, and competitor pricing. 2. Algorithm Development: Develop algorithms that can analyze the data and adjust prices in real-time. 3. Testing: Conduct A/B testing to determine the effectiveness of different pricing strategies. 4. Monitoring: Continuously monitor the performance of the dynamic pricing model and make necessary adjustments.