Brand name : BigBuzz

Objective: Improve store compliance and reduce merchandising discrepancies for a global retail chain.

Description: BigBuzz  partnered with a large global retail chain to conduct comprehensive audits across their store locations. To streamline the auditing process and enhance accuracy, ABC Auditing Solutions implemented an AI image recognition system.

Implementation: The AI image recognition system was trained to identify specific merchandising standards, product placements, and pricing labels within the retail environment. During the audits, store associates captured images using mobile devices, which were then analyzed by the AI system. The system automatically flagged any non-compliant areas, stock discrepancies, or pricing errors, allowing auditors to focus on resolving identified issues.

Technology Used : Python, MongoDB

Timeline : 54  Days

Results: 

1. Improved Compliance: The AI system efficiently identified merchandising discrepancies, ensuring compliance with the brand’s standards across all store locations.
2. Efficient Auditing: The automated detection of inventory errors streamlined the auditing process, saving time and effort for auditors. They could focus on resolving identified issues rather than manually scanning shelves.
3. Enhanced Efficiency: The automation of error detection and reporting reduced the manual effort required for audits. Auditors could prioritize their time on resolving issues rather than searching for errors.
4. Real-Time Insights: The AI system provided real-time insights, allowing auditors to address compliance issues promptly. This led to immediate corrective actions, minimizing potential revenue losses and customer dissatisfaction.
5. Consistency and Standardization: The AI system ensured consistent auditing standards across the retail chain, eliminating variations caused by human auditors and enhancing the overall brand experience.