Company: ZCARW
Filing Date: 2025-05-05
Form Type: S-1
Source: 0001213900-25-039778
Chunk: 164

Company: Zoomcar Holdings, Inc.
Filing Date: 2025-05-05
Form: S-1
Chunk 164
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 our team. |

94 Our Technology The backbone of Zoomcar’s peer-to-peer car sharing platform is our technology - a mobile-focused platform that connects Hosts and Guests and enables them to transact in a customer feedback-informed marketplace designed to make better use of community resources. Our applications leverage data science, machine learning and advanced computer vision capabilities to offer Hosts real-time dynamic pricing capabilities, algorithmically designed ratings-based listing positioning and enhanced protection through image recognition technology, among other features. With Zoomcar, Hosts enjoy significant flexibility in listing their vehicles and dynamically adjusting availability and price. The platform also provides Hosts with powerful tools that help them to understand Guest demand at a granular, near-real-time level so they can better optimize their offering to prospective Guests. Guests, in turn, are able to search listings by vehicle type, location, price, trip types and other categories to identify cars to fit specific needs. Our platform does not restrict use cases and, instead, allows for a wide array of trip lengths ranging from a few hours up to several months. Core Platform Technologies Our platform technologies are comprised of several key elements that underpin the essence of the customer experience that our platform provides for Hosts and Guests: Catalogue and Filtering.We structure our listed vehicle “catalogue” in a manner designed to allow Hosts to easily add new vehicle listings and which places listed vehicles in the categories designed to enables Guests to search for cars that meet their needs quickly and efficiently. The vehicle catalogue is highly personalized for each Guest based on previous booking and search history on the platform, thereby augmenting the likelihood of an ultimate booking conversion. Search and Sort Relevance.Our search-and-ranking-based algorithms are powered by back-end data science models that take into consideration Guest preferences based on historical bookings, combined with most-recent search data. The overarching system goal is to improve Guests’ search experience to aid the platform to convert searches into bookings. Among the key variables that our search-and-ranking-based algorithms take into consideration are a Guest’s desired booking timeframe, location, vehicle category, duration, and price point. Pricing.Our pricing engine is highly dynamic and is layered over our Host-selected pricing and discounting capabilities to create a more optimized overall Host earning experience. This dynamic pricing engine complements a core platform pricing structure that allows, and recommends, Hosts to set minimum and maximum prices for their platform listings. This pricing engine helps the host to maximize earnings on the platform and provides them with a powerful tool to best position their listing(s) relative to other Hosts on the platform.