WaitTime
Empowering Crowd Management with Comprehensive Historical Insights
Software Development AWSBusiness Impacts
Identified crowd trends with customizable dashboards for optimized staffing
Efficient storage of historical data for analytics and predictions
Enabled self-service capabilities
Achieved scalability for rapid customer onboarding and dashboard activation
Customer Key Facts
- Country : United States
- Industry : Software Development
Problem Text
WaitTime owns a patented AI solution that provides near real-time crowd traffic insights by tracking metrics such as crowd movement and line lengths for its diverse clientele, including airports, amusement parks, malls, and sports stadiums. Data from customer camera feeds is utilized to compile crowd data, which is processed daily into PDF/CSV reports.
However, the existing system cannot enable self-servicing of this collected data and its storage. Furthermore, the absence of a single source of truth hindered the generation of historical insights about crowd movement and behavior, limiting the use of past data to tackle present scenarios.
Challenges
- Lack of a single source of truth for crowd data, impacting data availability and usability
- Absence of a mechanism to compare historical crowd data effectively to enable venue staffing decisions
- Lack of self-service capabilities on crowd data, preventing customers from accessing information timely
Technologies Used
Amazon QuickSight
Amazon Redshift
AWS Glue
Amazon DynamoDB
Amazon S3
AWS Lambda
Amazon Athena
AWS Step Functions
AWS CodeCommit
AWS CodePipeline
Solution
Quantiphi established a landing zone and deployed a data warehouse to consolidate historical camera feed data from three of the client's customers. This unified data powered comprehensive cross-comparison of historical data that tracks key performance indicators such as entry /exit counts, occupancy, wait time, and queue length for each customer.
Our solution enhanced self-service capabilities by enabling customers to select date ranges and sensor areas for detailed insights into past crowd behaviors and dynamics.
The developed dashboards provided historical insights and displayed crowd metrics. These dashboards are seamlessly integrated into the client’s platform, enhancing usability and accessibility. Additionally, the solution was designed to quickly onboard new customers with minimal effort.
Results
- Analyzed historical crowd movements effectively, enabling WaitTime’s customers to turn data into actionable insights, improving their venue planning and staffing operations
- Effortless onboarding of new customers onto the developed solution with minimal development efforts
- Secured data accessibility to provide valuable insights and improve on-ground user experience
- Efficient storage of historical data to support descriptive and prescriptive analytics, with the potential to build predictive capabilities in the future
- Ease of access to self-service capabilities
