Toptal applies elasticity modeling to optimize pricing strategy for trading company.
A Kuwait-based retail chain expanding into Saudi Arabia needed a data-driven pricing strategy to adapt to different market dynamics. Toptal developed an elasticity-based framework to guide pricing decisions and support market expansion.
Client
A Kuwait-based convenience retail chain expanding into Saudi Arabia with a data-driven pricing strategy.
Employees
Revenue
Industry
Retail TradeDelivered Services
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Differences in consumer behavior and price sensitivity made it difficult to set optimal pricing. The company lacked a structured approach to adjust prices across elastic and inelastic products.
Solution
Comprehensive Elasticity Analysis
Toptal analyzed pricing elasticity using Python and Excel, cleaning and enriching data from more than 210 stores to generate insights.
Strategic Implementation Framework
Toptal extended its role beyond the initial model development, providing ongoing financial planning and analysis (FP&A) support, including weekly re-forecasting, month-end close analysis, and regular reporting to the executive team.
Outcome
Informed Pricing Decision-making
A data-driven pricing model enabled targeted price adjustments based on product elasticity and market behavior.
Stronger Market Entry
An improved pricing strategy supported expansion into Saudi Arabia and positioned the company for sustainable growth.
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