Open Pricer
Mathieu Mouzon has extensive experience in the field of pricing and revenue optimization. Mathieu started their career as a Pricing Analyst at TNT France in 2003 and worked their way up to become a Senior Pricing Analyst and later a Pricing Manager, where they were responsible for monitoring and analyzing pricing performance and implementing actions to optimize revenue.
In 2018, Mathieu joined XPO Logistics Europe as a Pricing Performance Manager, where they coordinated the European pricing community and implemented various pricing levers to improve customer profitability. Mathieu later became the Head of Pricing Performance Europe, overseeing the global rate increase, monitoring and adjusting processes, and ensuring compliance with options and surcharges.
In 2019, Mathieu moved to The Adecco Group as a Senior Pricing Manager. In this role, they monitored and analyzed pricing performance, designed actions to optimize revenue, and implemented a tracking system for revenue leakages associated with non-compliant additional services.
Currently, Mathieu is working as a Customer Success Director at Open Pricer, a role they started in 2022. Their responsibilities include engaging customers to realize value with Open Pricer solutions, developing methodologies to monitor customer value, and expanding the company's solution footprint.
Mathieu Mouzon completed their Master's degree in Management and Business Administration from Esdes Business School, from 1998 to 2003. Mathieu has also obtained several certifications related to pricing, such as the Certified Pricing Professional (CPP) certification from the Professional Pricing Society.
This person is not in any teams
Open Pricer
PRICE OPTIMISATION AS A SERVICE Open Pricer provides price optimisation as a service for parcel networks, e-commerce, freight networks, travel, smart mobility, financial services and more. Our cloud pricing platform connects to the enterprise information system (ERP, CRM, TMS, etc) and continuously gathers all relevant pricing decision-support data: sale transactions, customer profiles, costs and capacity utilisation, requests for quote, conversion, attrition. This data can be enriched with external public information (predictors of demand and competitive prices). Then it applies AI algorithms to produce optimised prices for every transaction or contract in real time. VALUE PROPOSITION Pricing decisions are complex. They rely on multiple factors driving costs and customer willingness to pay and they imply lots of calculations. Companies make millions of such pricing decisions per year that have a critical impact on their business performance. However, due to time constraints and lack of data and tools, only a fraction of these decisions can be screened by pricing analysts, resulting in profit leakage. Two business and technology trends make price optimisation indispensable: - Digital Markets: more and more customers are willing to buy and contract online. This requires instant pricing capability even for complex offers; - Dynamic and Personalised Pricing: in digital markets, variable and dynamic prices are replacing averaged and fixed prices, leading to more accuracy but also to a much larger number of prices, more frequently updated. Implementing price optimisation results in an improvement of resource utilisation and sales efficiency up to 20% and a typical increase of 3 to 5 points in net margin. But above all, price optimisation arms companies to succeed in digital markets where information and speed are critical. http://www.openpricer.com