Context
The project focused on developing a business simulation platform to model the market entry of a bicycle company into the UK. The simulation aimed to predict the company’s performance by realistically modelling decisions and interactions across four critical departments: production, research & development, marketing, and operations. By capturing these real-world complexities, the tool was designed to help the team understand potential outcomes, optimise strategy, and reduce risk before committing to market entry.
Details
Time Frame:
Role:
Involvement:
Web Interface, Prototyping
Challenge
Replicating the interconnected nature of real business functions was a key challenge. Each department’s decisions — from R&D investment to marketing spend and production scaling — directly influenced market performance and overall profitability. It was also essential to incorporate external market factors, such as UK consumer preferences, economic trends, and competitive pressure. Balancing analytical depth with usability was critical to ensure that stakeholders could experiment with scenarios and derive actionable insights without requiring technical expertise.
Solution
Designed and built a simulation engine that integrated department-level strategies, allowing users to adjust variables like production capacity, product innovation, promotional budgets, and operational efficiency.
Incorporated real-world UK market data, including consumer demand patterns, economic indicators, and competitor benchmarks, to create realistic and dynamic scenarios.
Developed a customisable dashboard where stakeholders could explore “what-if” scenarios, instantly see potential impacts on sales, market share, and profitability, and refine their strategies.
Focused on a user-friendly, visual interface to make complex data accessible and ensure collaboration across different departments.
Results
Achieved 85% accuracy in forecasting market outcomes by benchmarking against similar historical market entries.
Enabled rapid testing of strategic decisions across production, R&D, marketing, and operations, leading to faster and better-informed planning cycles.
Helped the team identify the optimal market entry strategy that balanced innovation investment with cost control, reducing forecasted risk.
Secured a 90% user satisfaction rate, with users praising the platform’s clarity, realism, and value in guiding data-driven decision-making.