The client is a multinational consumer goods company and wanted to optimize their trade promotion as part of the Local Store Marketing for various retailers across different countries.

• Given a country; For each retailer and each product, predict number of weeks to run the promotion and at what optimal price to run.
• Impact of different Key-Performance-Indicators(KPI) as constraints and objectives

• All required sales data, financial data, range of price & promotion weeks and the KPI constraints are collected from the client.
• Leveraged the best optimization tool in python to model the problem statement.
• Given the non-linear optimization problem and complex formulation in the model, adapted the technique of warm-start to the solver.
• Collect the required values of decision variables from the model.

• The Key-Performance-Indicators have seen a desirable improvement within minutes.
• The optimizer model is scalable that more retailers and products can be added.