Retail — User Intent Classification for SOPs

Overview

The primary purpose of this DAG is to classify user intentions when interacting with Standard Operating Procedures (SOPs) in the retail sector. It leverages data from interaction logs and user feedback to improve the relevance and effectiveness of SOPs. The ingestion pipeline begins with the collection of interaction logs, which are then processed to extract meaningful insights regarding user behavior. The processing steps include data cleaning, intention analysis, and classification of user int

The primary purpose of this DAG is to classify user intentions when interacting with Standard Operating Procedures (SOPs) in the retail sector. It leverages data from interaction logs and user feedback to improve the relevance and effectiveness of SOPs. The ingestion pipeline begins with the collection of interaction logs, which are then processed to extract meaningful insights regarding user behavior. The processing steps include data cleaning, intention analysis, and classification of user intents into predefined categories. Quality control measures are implemented to ensure the accuracy of the classifications, which involve validation checks and feedback loops from users. The outputs of this DAG are integrated into a Customer Relationship Management (CRM) system, providing actionable insights for SOP updates. Key performance indicators (KPIs) such as user satisfaction scores and classification accuracy are monitored to assess the effectiveness of the DAG. The business value lies in enhancing user experience, leading to improved compliance with SOPs and increased operational efficiency in retail operations.

Part of the SOPs & Playbooks solution for the Retail industry.

Use cases

• Enhanced user experience with tailored SOPs
• Increased compliance with operational procedures
• Improved decision-making based on user feedback
• Higher customer satisfaction and loyalty
• Streamlined training processes for employees