Submitted by admin on Fri, 08/19/2022 - 10:46

Lack of aligned tourist data collection resulting in poor future forecasting of tourist expectations

Sequence Number 7 Industry Tourism Banner Lack of aligned tourist data collection resulting in poor future forecasting of tourist expectations How 5G enabled

Collect data from all major tourist attractions into a single data platform and generate insights on consumer behaviour and historical spending to provide highly personalised end-to-end visitor experience.

Data Flows
Title Devices Icon Devices Description
  • Cameras/Sensors collect data
  • Making sure that we collect data at all sites: Fix the data to be gathered + formats
Title Connectivity Icon Connectivity Description
  • High-resolution image and video data transferred over 5G
  • Access through mobile app made possible by 5G
Title Edge Compute Icon Edge Compute Description
  • N/A
Title Cloud Compute & Storage Icon Cloud Compute & Storage Description
  • All data and content owned and stored in enterprise storage of relevant tourist attractions/organisations such that it is easily accessible for future reference by various systems
  • Align standards between sites and companies
Title Applications & Services Icon Applications & Services Description
  • MV/ML applied to identify demographics (e.g., age, gender, etc.)
  • AI is used to track consumer behaviour, spending habits, interest, etc.
Title Inform Decision Makers Icon Inform Decision Makers Description
  • AI generated insights provide predictions of emerging trends for specific products or attractions to plan accordingly
Title Support Decision Making Icon Support Decision Making Description
  • Insights into marketing and infrastructure investment decisions
Application Logic
Description
  • Cameras deployed will gather high resolution images and video files of tourists within the vicinity.
  • Sensors to track:
  • Tourist habits and preferences
  • Congestion levels for heat mapping
  • Data gathered from the use of mobile apps of purchases, bookings, views, etc.
  • Other relevant data to be gathered.
Description
  • Vast amounts of data files will be transferred in real-time to be processed by AI which analyses and tracks demographics, purchases, etc. (e.g., age, gender, etc.)
  • AI/ML-enabled analytics are used to detect tourist traffic and identify locations at which crowds are formed as well as identifying tourism spending habits.
Description
  • Real-time generated analysis provides management with actionable insights for better future planning such as:
  • Product placement at key crowd attractions, with recommendations of POIs
  • Investment opportunities to increase revenue streams
  • Adapt attractions to better suit specific demographics
Expected benefits Key value created