Concur and Salesforce Alumni Launch SalesTrip: The First Platform to Derive ROI from Business Travel and Set to Challenge the Travel and Expenses Technology Market
Company Hires Senior SAP Concur Team to Drive AI-Powered System and Change the Way Businesses Manage Travel and Expenses
SalesTrip, the first ever travel booking and expense system on Salesforce, that combines business travel, expense and operational data to demonstrate travel ROI, launches at the Business Travel Show today.
SalesTrip will change the way organisations manage, govern, and justify corporate travel and expenses by providing an all-in-one travel booking, ticketing and expense management system for customers using Salesforce. For the first time, SalesTrip will enable businesses to derive ROI from travel and expense costs and provide true budgeting visibility and cost justification which has not existed to date.
Manoj Ganapathy, Founder & CEO at SalesTrip, commented: “With the business travel market set to reach $1.7 trillion by 2023, we want company leaders to have greater visibility of their travel investment as well as measure its return. With travel and expense costs typically reaching 10% of all operational spend, companies should be managing them as a mechanism to drive business growth, not as an uncontrollable cost or hindrance to business activity.”
The company was founded by tech entrepreneur Richard Goodall, alongside Manoj Ganapathy, who will be the company’s CEO. Both have extensive backgrounds in building technology companies, having co-founded and sold InvoiceIT to Steelbrick who were subsequently acquired by Salesforce.
SalesTrip is also joined by travel industry visionary Eoin Landers, VP of Product, who previously led the expansion of SAP Concur Travel across Europe. Alongside Landers is Matt Bray, VP Sales & Partnerships, who developed Concur’s European operations before joining enterprise software company Xactly, and Wes Nolte, CTO, who was previously Co-founder and CTO of Tquila, the largest Salesforce consultancy in Europe that was acquired by Accenture.
SalesTrip customer CloudTeamCompany is one of the first companies to be benefiting from the platform and embracing the vision of integrated travel and expense visibility and ROI: “CloudTeamCompany is thrilled to have implemented SalesTrip which will give our sales team and consultants a smarter, more intelligent process for booking business trips without the hassle of a separate expense management and reimbursement system,” said Gert-Jan ter Weeme, Partner at CloudTeamCompany. “It will simplify, alleviate and connect corporate travel and expenses in the same way that Uber did for consumers and taxi usage.”
SalesTrip feeds travel and expense data directly into a single source of truth, unlocking an opportunity to understand the relationship between travel and other corporate functions, especially the cost of acquiring business. It is also dynamically driven by a company’s operational data typically held in its CRM and so records business travel against an activity’s value. For finance leaders, budgets can be adjusted in real-time to reflect sales forecasts and help convert revenue.
SalesTrip launches with a product team in Seattle and an engineering team at its HQ in London. Andy Butchart, Strategic Alliance Director at FinancialForce and SalesTrip Partner: “FinancialForce is thrilled to be working with SalesTrip and CloudTeamCompany on the only travel and expense solution built natively on the Salesforce platform. Embedded in FinancialForce’s Professional Services Automation (PSA) application, services organisations now have full visibility of their consultants’ travel and expenses enabling managers to derive the most value, reduce costs and increase profitability.”
Manoj Ganapathy, CEO, SalesTrip: “As a finance person, you can not only look at the total cost of the trip, but also the total cost of the sales opportunity. For example, every single cost associated with meeting a prospect or a customer can roll up against the revenue you’re generating from that customer. You can also break this down into detailed component parts where individual employees spend that money. If you aggregate all this data into one central repository, and then introduce machine learning that runs predictive analytics off the data, you can start asking questions like: What is my win ratio? Which stage of opportunity does it make the most sense to spend on travel? How much do I need to spend in order to win business? Do I want to pursue this customer?”
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