Performance dashboard

Designed for Tour Operators and Distributors using the Orchestra platform, the Performance Dashboard gives you a clear, real-time view of sales performance in the booking process.

First and foremost, this new module enables you to monitor the performance of the booking process in real time, by measuring key indicators such as KO rates (quotes and bookings) and their evolution over time. It also provides you with a fine-grained analysis capability to understand precisely the errors encountered: their nature, frequency and distribution, thanks to a multi-level granularity approach and detailed filters (products, channels, destinations, traveller profiles, etc.).

Whether you are a producer or a distributor, you can act more effectively based on factual data, objectify responsibilities with your partners and manage corrective actions.

By relying on reliable, filterable and shared data, you can be more responsive, improve your productivity and contribute directly to increasing your business volume.

Key features

• Monitoring the main metrics for measuring product availability in the booking process: quote knockout rate, book knockout rate, average response time, etc.
• Customisable viewing and comparison periods
• 4 levels of granularity: from overview to export of error files
• Ability to filter by channel, product structure, destination and error type
• Ability to filter by channel, product structure, destination and error type
• Ability to filter by channel, product structure, destination and error type
• Monitoring the main metrics for measuring product availability in the booking process: quote knockout rate, book knockout rate, average response time, etc.
• Customisable viewing and comparison periods
• 4 levels of granularity: from overview to export of error files
• Ability to filter by channel, product structure, destination and error type
• Access to the dashboard from your Orchestra administration platform with fine-grained management of user rights
Performance
Monitoring
Optimisation
Conversion
Visualising and comparing performance

Viewing period: by day (D-1), by week (W-1), by month (M-1) and customised period, with choice of dates and intervals. Comparison period: by previous week (S-1) and the same week in the previous year (Y-1).

Detailed error analysis

Go back to the source: understand where errors come from within the files (aggregate view, package, accommodation, transport, activities and services).

Advanced filters

Cross-reference your data: find error categories, error codes, destinations (countries, cities), producers/distributors, booking stages (quote display, validation and booking) and finally travellers (number of adults, children and babies). A multi-faceted analysis solution.

Demonstration

Are you interested?

Request a demo!