RateGain Launches CarGain Canvas, New Analytics Platform
The analytics application utilizes leading indicators to help car rental companies verify and rectify issues in their pricing strategy.

Car rental companies can use CarGain Canvas’s filter options to analyze historical trends and track instant market changes by monitoring booking pace, tracking utilization, and get a 360-degree view of the market.
Image courtesy of RateGain.
RateGain Technologies, a SaaS company for travel and hospitality, announces the launch of CarGain Canvas, an integrated market position analytics application that utilizes leading indicators to help car rental companies verify and rectify issues in their pricing strategy.
Due to the pandemic, car rental companies are unable to track and anticipate demand with precision, RateGain said in a statement. This lack of visibility leads to pricing challenges that directly impact revenue optimization.
Car rental companies can use CarGain Canvas’s filter options to analyze historical trends and track instant market changes by monitoring booking pace, tracking utilization, and get a 360-degree view of the market.
“Canvas is bridging the gap between our customer needs and the inability of existing platforms to give a clear and accurate picture,” said Harmeet Singh, CEO, RateGain.
Pricing managers have traditionally used analytics to get trends based on historical data which in the new normal is no longer a reliable source to make decisions. Using causal analytics as the base, CANVAS provides pricing teams actions they should take based on the change happening in the market real-time.
“RateGain’s Canvas is a game changer and a mission critical application as it helps us stay in sync with real-time market trends and compare our positions in the market,” said Tom Mallo, licensee owner of Budget Las Vegas. “With actionable insights based on leading indicators such as flight information on a day-to-day basis is helping us reduce manual effort, save cost of technology while making our forecasts more accurate.”
More Rental Software
Grow Your Rental Business Beyond Cars
Rental fleet operations are facing numerous evolving challenges and opportunities from AI technology to rate and revenue management, to customer service and business growth.
Read More →
Using AI to Create Clarity, Not Conflict, in Rental Car Damage
Rental companies still need people, policy, judgment, and thoughtful implementation, with operators remaining in control of the customer experience.
Read More →
Get Ready To Roll: No Stopping Self-Driving Rental Cars
The autonomous mobility technology revolution will move at its own pace, but sooner rather than later.
Read More →
Southwest Airlines Selects CarTrawler For Its Car Rental Booking Platform
The platform is designed to allow customers to compare and book rental vehicles more easily during the travel booking process.
Read More →
RentalMatics, GeoInt Partner On Rental Car Speed Tracking Tech
Rental operators can now detect and act on speeding while vehicles are still on rent, thereby reducing fines, admin workload, vehicle wear, and safety risks.
Read More →
NextPass Expands Toll Payment Service to Highway In Toronto
Fleets and consumer can use a transponder-less option when traveling between Canada and the U.S.
Read More →
Zubie, PurCo Integrate Rental Damage Detection With Telematics
The combination brings actionable vehicle insights into PurCo’s PurInspect platform, improving damage detection and operational efficiency for rental fleets.
Read More →
Why Car Rental Can No Longer Run On Workarounds
The shift from branch-based software to connected operations is turning rental technology into strategic infrastructure.
Read More →
Why Car Rental Can No Longer Run On Workarounds
The shift from branch-based software to connected operations is turning rental technology into strategic infrastructure.
Read More →
Using AI To Find Rental Car Damage
Angry car renters are storming social media, the mainstream media, and online ratings platforms to complain about charges they claim are either unfounded or excessive.
Read More →
