ziptrrip vs Viaje.ai

Ziptrrip is a corporate travel platform focused on reducing travel costs and time for your company while digitizing the travel booking experience. Simplify your corporate travel with Ziptrrip: We completely eliminate reliance on archaic travel agents, provide zero markups (best-in-industry pricing), access to corporate fares with negligible cancellation fees, and other benefits. Ziptrrip helps corporations automate travel bookings, the approval process, and implement a dynamic travel policy through intelligent algorithms. It's an all-in-one platform for all your corporate travel needs, including flights, hotels, cabs, trains, buses, and much more! One-Click Reimbursement: With Ziptrrip's integrated expense management, you can now simply click and upload your bills under the same trip ID, and with just one click, it will scan through the bills and send them for approval. Experience Service Excellence with Ziptrrip: We have dedicated account managers assigned to each corporate client, ensuring that your queries are resolved promptly and with a personalized touch.

Viaje.ai is Sciative's fully automated AI powered SaaS product for dynamic pricing in travel industry. Cutting across Airline, Luxury Coaches, Buses, Railways and Cabs - Viaje.ai is integrated with most GDS systems, and automatically updates prices every 15 mins - keeping the prices in alignment with changing customer, occupancy, and market behaviour. It's key strengths include: (a) Seat level pricing - In sear level pricing we price for each seat in a bus taking into consideration current and historical data (b) Pricing of Via-routes - For a given source- destination e.g.: Mumbai-Goa bus which is going via Pune, if a seat is booked on Mumbai-Pune route, the seat is still vacant from Pune-Goa. Here Mumbai-Pune & Pune-Goa are via routes on Mumbai- Goa main route. We Price for each seat on such via routes as well. (c) Considers market behaviour- Data is fed into our model with respect to market to understand the demand & supply in the current market situation, which helps the AI model learn the market behaviour.