Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Enhance the management of your pricing data and boost profitability at every phase of your business's pricing cycle with Sposea! By fusing scientific methods, advanced algorithms, machine learning, and industry best practices, Sposea grants comprehensive control over the pricing process throughout the enterprise. From managing pricing data to increasing profits aligned with geographical objectives, Sposea's exceptional pricing optimization engine empowers users to refine their pricing strategies with complete transparency and governance. The platform offers customer configuration, quotation management, and simulation tools that provide direct access to SAP for managing sales agreements and contracts. Furthermore, it can be tailored to fit the specific sales processes and governance frameworks of your organization. With SAP's integrated Price Management and simulation tools, making efficient, manageable changes to price lists and conditions in SAP becomes straightforward, eliminating the need for a costly and complicated data layer. This streamlined approach not only saves time but also enhances overall pricing accuracy and responsiveness.
Description
Fetcherr provides an AI-enhanced solution for pricing and revenue optimization specifically designed for the aviation sector. At its core lies the Large Market Model (LMM), which fuels various components such as the Generative Pricing Engine (GPE) and the Generative Inventory Engine (GIE); these tools work together to forecast demand, fine-tune ticket prices, and manage inventory in real-time. Acting as a perpetual “super analyst,” the platform keeps a vigilant eye on market trends around the clock, utilizing clear and understandable methodologies to make dynamic pricing adjustments based solely on publicly available data rather than personal information. Fetcherr is capable of integrating seamlessly with existing airline systems, including Passenger Service Systems (PSS) and older technologies, facilitating a smooth transition to cloud-based retail operations and allowing for a gradual introduction of automated pricing mechanisms. With features such as A/B testing, it supports phased deployment and aims to enhance revenue and streamline workflows while ensuring that all processes remain transparent and accountable. Additionally, the adaptability of Fetcherr’s system means that airlines can continuously refine their strategies, ultimately leading to more informed decision-making and improved financial outcomes.
API Access
Has API
No
API Access
Has API
No
Integrations
SAP Store
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Sposea
Founded
2015
Country
Netherlands
Website
www.sposea.com
Vendor Details
Company Name
Fetcherr
Founded
2019
Country
Israel
Website
www.fetcherr.io
Product Features
Pricing Optimization
Channel Analysis
No
Competing Product Analysis
Yes
Forecasting
Yes
Market Analysis
Yes
Multi-Store Management
No
Price List Management
Yes
Price Optimization Automation
Yes
Pricing Analytics
Yes
Profitability Analysis
Yes
Scenario Planning
Yes
Product Features
Pricing Optimization
Channel Analysis
No
Competing Product Analysis
No
Forecasting
No
Market Analysis
No
Multi-Store Management
No
Price List Management
No
Price Optimization Automation
No
Pricing Analytics
No
Profitability Analysis
No
Scenario Planning
No