Business Problem: The business problem I am addressing is the inefficiency and inconsistency in the return and exchange process. Typically, when a customer requests a return, customer support has to manually check multiple factors to determine if the product is eligible for return. This process is time-consuming, often leading to delays, increased workloads for support teams, and potentially a poor customer experience. Additionally, ineligible returns or manual interventions may cause dissatisfaction and result in higher operational costs.
The goal of your project is to automate the return eligibility decision-making process using a predictive model, thus solving the inefficiencies in the system:
- Eligible returns are automatically approved by the model, speeding up the process and reducing workload.
- Ineligible returns are flagged for manual review by the customer support team, ensuring that exceptions can still be managed appropriately.
- Reduced operational costs and improved customer satisfaction by providing quicker responses and accurate predictions.
This predictive model reduces human intervention in straightforward cases while ensuring the support team is involved only when necessary, making the entire process more efficient, consistent, and cost-effective.