A leading multi-regional retail chain, operating an extensive supplier network, warehouses, and storefronts, faced persistent operational communication challenges despite previously implementing traditional AI for demand forecasting. The organization struggled with processing a high volume of unstructured data; emails from vendors, delivery logs, and incident reports; which hindered quick decision-making during shipment delays, stockouts, and vendor escalations. To improve operational efficiency, reduce response times, and enhance supply chain visibility, the retailer partnered with Sparity to leverage GenAI in Retail Operations. The goal was to streamline communication-heavy workflows while ensuring secure deployment and strict data governance.
Client: Leading Retail Chain
Services: GenAI-based supply chain optimization, AI integration
Year: 2025
A leading multi-regional retail chain, operating an extensive supplier network, warehouses, and storefronts, faced persistent operational communication challenges despite previously implementing traditional AI for demand forecasting. The organization struggled with processing a high volume of unstructured data; emails from vendors, delivery logs, and incident reports; which hindered quick decision-making during shipment delays, stockouts, and vendor escalations.
To improve operational efficiency, reduce response times, and enhance supply chain visibility, the retailer partnered with Sparity to leverage GenAI in Retail Operations. The goal was to streamline communication-heavy workflows while ensuring secure deployment and strict data governance.
Client: Retail
Services: GenAI in Retail
Year: 2025
Project Objectives
- Simplify and structure supplier updates, incident logs, and delivery reports for better usability.
- Enable faster, contextual responses to operational issues like stockouts and shipment delays.
- Maintain strict data security and governance while introducing AI-based automation.
- Streamline communication-heavy workflows using GenAI where it added clear value.
- Improve responsiveness and reduce manual effort for interpreting daily updates.
- Ensure strict adherence to data governance, access control, and information security.
- Create a scalable foundation for future GenAI applications across operations.
Table of Contents
Technology Stack
Solution & Implementation
- Deployed GenAI models for auto-summarizing supplier communication, delivery logs, and incident reports using open-source LLMs.
- Integrated natural language querying into existing dashboards, allowing teams to ask operational questions in plain English.
- Implemented on-premise/cloud-isolated infrastructure with redaction and masking logic for sensitive data fields.
- Embedded outputs into role-based dashboards, ensuring relevant summaries reach store leads and warehouse staff.
- Enabled human-in-the-loop validation for summaries flagged as high risk or ambiguous, ensuring reliability.
Benefits
- Reduced issue resolution time by 28% through faster interpretation of supply chain updates.
- Improved forecast-to-shelf alignment by 15%, driven by quicker response to disruptions.
- Enhanced frontline productivity by minimizing manual review effort for communication-heavy workflows.
