SION is a commission management software tailored for travel agents that automates commission tracking and reporting to improve financial workflows. The platform eliminates the inefficiencies of manual commission reconciliation and payment processing, enabling agents to enhance profitability and operational efficiency.
Funding
$6.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Travel agencies often struggle with the complexities of tracking, reconciling, and managing commissions from various suppliers, leading to inefficiencies and potential revenue loss. Manual commission management is time-consuming, prone to errors, and lacks real-time visibility, hindering profitability and operational efficiency.
Solution
Sion provides a commission management platform designed to automate and streamline commission tracking and reconciliation for travel agencies. The platform integrates with GDS systems and supports file-based importing, enabling agencies to capture all bookings and commissions. Sion automates payment matching, TACS, and EFT reconciliation, while also generating invoices for unpaid commissions. The system automates commission splits and provides real-time reporting and analytics, giving agencies full transparency and control over their receivables.
Target Audience
Sion is designed for leisure travel agencies, online travel agencies, travel management companies, host travel agencies, independent advisors, and corporate travel agencies.
Features
- Real-time commission tracking with GDS integrations and file-based importing
- Automated commission reconciliation, matching payments, TACS, and EFTs
- One-click invoice generation for commission chasing
- Automated agent statements with live commenting
- Real-time reporting and analytics for informed decision-making
- Integrated CRM for managing client relationships and preferences
- Self-service importer to upload historical data from various systems