Implementation of a dynamic pricing solution for B2C and B2B activities and implementation of the strategy to operational teams through dedicated interfaces

 

 

 

  CHALLENGE                                   

A dynamic environment and multiple factors influencing prices

  • A highly competitive market with new entrants.

  • High diversity of micromarkets in several points of sales with local specificities: different stock levels, consumer typologies, competitive environments.

  • Pricing complexity of numerous product categories with multiple lengths of rent, distribution channels and a long horizon.

  • A strong brand with national exposure.

 

  SOLUTION                                         

A 360° dynamic pricing tool for headquarters and agencies

  • Setup of the pricing strategy based on historical data analysis.

  • Central interfaces to manage, simulate and monitor the pricing policies.

  • A calendar interface for operational teams to visualize and validate price recommendations, and access key market insights to take immediate actions.

  • Development of a dynamic pricing engine based on Machine Learning forecasting models and yield management algorithms that updates prices twice a day.

 

  RESULTS             

Operational impacts and financial results

  • Increase in efficiency and reactivity for operational teams to configure their prices.

  • Better understanding of prices and brand positionment for customers.

  • Occupancy rate + 6%

  • Revenues +2-8% according to agencies where Pricemoov was deployed

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