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Dynamic Pricing: Finding the Best Strategies to Adapt to Market Evolution

Case Study


A company needed a management software capable of autonomously calculating dynamic pricing strategies based on fixed and variable business costs, product type, and order quantities in increments.
The goal? To optimize margins and adapt pricing policies to market fluctuations.

The Solution


We developed a web-based software, integrated with the company's management system, capable of generating real-time, differentiated prices for each item.
Specifically, the system analyzed various production scenarios, optimizing costs according to the chosen business strategy.
Additionally, the software provided a clear view of sales price trends, correlating them with raw material fluctuations while tracking production frequency, purchase volumes, and sales data.
This allowed for quick and strategic adjustments to pricing policies.

The Benefits

  • Intelligent pricing, based on real costs and targeted business strategies
  • Margin optimization, with adaptive production scenarios
  • Monitoring of sales trends and raw material price fluctuations
  • Advanced analysis of volumes and purchase frequencies, enabling more strategic decisions
  • Enhanced market competitiveness, through flexible and optimized pricing

With this solution, the company can now make data-driven pricing decisions, improving efficiency, profitability, and responsiveness to market dynamics.

Techonologies used

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Clojure

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PostgreSql

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