Use key e-commerce data such as sales, stock levels, prices, and visitors to model patterns and simulate scenarios. This will help us understand past behaviors and make optimized decisions for the future. We aim to answer questions like: ​

• Could different choices have led to better outcomes? ​
• Are the sales or stock levels of certain products reaching saturation? ​
• Are the assortment and the sorting of the products optimal?  ​

With a focus on sales season optimization (Black Friday, Summer, and Winter)​

We expect to impact the entire value chain, including inventory management, sales strategy, marketing optimization, conversion optimization, operational efficiency etc.

The person developing this project should have skills in programming, statistics, and mathematics, as well as experience in using machine learning techniques and data visualization tools. Additionally, they should have knowledge in causal inference and bayesian processes. It would also be important to have communication and teamwork skills to collaborate with other experts on the project. ​

Critical Thinking ⎯ Ability to analyze information objectively and make reasoned judgments.

Collaboration & Teamwork ⎯ Efficiently working with others to achieve common goals.