PLOUTON

Upfront & Dynamic Deep Reinforcement Fast Learning Pricing Engine

Plouton, upfront pricing engine, makes sure your innovative mobility service will be relevant for your target customers in a highly competitive price-driven market.

Using model-based / model-free deep-RL fast learning algorithms, Plouton is capable to quote upfront pricing for the most complex scenarios such as "mixed ride-sharing & last-mile" services, while taking into account the entire competitive business arena.

 

Unlike standard deep-RL algorithms, Plouton has no bootstrap effects as it is well trained using Athena emulator.   

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Why use Plouton pricing engine

Upfront pricing is one of the most complicated tasks for intelligent transportation services. Plouton provides your service the following added values.

 

  • Plouton learns the competitive arena and updates his pricing policy on the fly, making sure your service prices are relevant at any moment.

  • In parallel, Plouton makes sure your service is always profitable taking into account the service OPEX 

  • Using combined 'exploration & exploitation' strategies enables Plouton to find the optimal pricing for your service as a function of date, time, demand, competition, etc

  • Plouton uses state of the art technologies leading ITS vendors try to develop in-house, understanding the added values of deep-RL based pricing engine

  • Plouton added values can be easily measured either off-line, using Athena emulator, or in real-time 

  • Plouton contains 'risk management' module to make sure only 'profitable proposals' are being executed - including statistical pricing cases (the most complex scenarios)                 

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