Analysis of existing interviews and materials on YouTube and other resources to understand the intricacies of the film industry.
Including visual effects producer and director Chris LeDoux, who shared his experience and challenges in the production process
Utilized Сlaude.ai, Perplexity, ChatGPT, and Bard to search and analyze data.
Availability of actors, Technical resources, Logistics of movement between locations, Weather conditions for outdoor filming, Scene complexity and the need for additional preparation time
Identification of complex scenes
Allocate more time for their filming
Different scenes require different amounts of time to shoot, especially complex scenes that may require many takes
Illnesses of actors or key crew members
Technical malfunctions with equipment
Delays in the preparation of special effects or props
Script changes during filming
Grouping scenes by location to minimize travelScheduling the most complex scenes for the beginning of the dayCreating buffer time between scenesAccounting for time needed to set up lighting and equipment
Restrictions on renting locations and equipment
Seasonality (for shoots dependent on the time of year)
Permits for filming in certain locations
Budget constraints
Take into account the required timeframes for preparing costumes, makeup, and props to avoid delays.
Through data visualization, grouping, filtering by specified parameters, and AI-driven suggestions.
Through optimize resource allocation, streamline coordination, and minimize conflicts during the filming process
Due to fewer shooting days, simplified logistics and automation of planning processes