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Why trust Ramp?
Ramp is a spend management platform used by over 25,000 businesses for easy-to-use cards, spend limits, approval flows, vendor payments, and more. Ramp has merchant data on over 1 million unique acceptors, over 8x more than other credit card charge databases. Merchant charges aren’t always recognizable on card statements, and Ramp’s exhaustive dataset is the most reliable way to better understand where and why charges are appearing on your statements.
TFL Travel Charge is a company that specializes in providing transportation services and fare payment solutions for customers in London. With a focus on efficiency and convenience, TFL Travel Charge offers a range of products and services to help commuters navigate the city seamlessly.
- The Oyster Card: This contactless smart card allows customers to pay for travel on buses, trams, the London Underground, and some national rail services.
- Travelcards: TFL Travel Charge offers various types of Travelcards that cater to different commuting needs, including daily, weekly, monthly, and annual options.
- Contactless Payment: Customers can use contactless payment cards or mobile devices to pay for their travel directly at the ticket barriers, eliminating the need for a separate travel card.
- Santander Cycles: TFL Travel Charge operates a bike-sharing scheme in London, providing affordable and convenient cycling options for short journeys.
- River Services: TFL Travel Charge offers river services along the River Thames, providing an alternative and scenic way to travel around the city.
“Accurate classification of expenses is vital for businesses as it forms the backbone of financial reporting, tax compliance, and strategic decision-making. It enables businesses to track and analyze their spending patterns, identify cost-saving opportunities, and assess the profitability of various operations or projects.”
Audrey Carroll
Senior Manager, Accounting, Ramp
Tired of manually categorizing confusing charges? See how Ramp can automate this for you in the demo below
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