Transforming Retail Compliance: Streamlining Manpower with Predictive Analytics

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A leading US-based retail industry with a dedicated workforce of 25,000 employees and a diverse product range.

Originally Published on: Quantzig|How we Helped a US-Based Retailer Reduce Manpower Required to Ensure Compliance

Client Overview: Collaborating with a leading US-based retailer

with 25,000 dedicated employees and a diverse product range, we addressed challenges in managing promotional campaigns.

Challenges Faced: Managing compliance for promotions across thousands of retail stores with diverse brand incentives required a massive investment of 250,000-man hours annually. Coordinating unique brand requirements across various store combinations posed a complex challenge.

Innovative Predictive Analytics Solution: Our solution integrated with the client's campaign management system, bridging the gap between predictive and actual sales. Using AWS SageMaker powered by Python, we reduced excessive manpower, automated compliance monitoring for POS, shelf, and display, and provided insights within 3-5 days of promotion launch.

Impact Achieved:

  • 85% reduction in manpower required for compliance
  • Improved measurement of promotion impact for each brand
  • Efficient resource allocation in critical business areas

About the Client: A leading US-based retail giant with a workforce of 25,000 employees, this innovative organization sets industry standards with millions of retail stores worldwide.

Addressing Compliance Challenges: Ensuring compliance across diverse stores for POS, shelf, and display requirements was challenging. Coordinating brand-specific promotion campaigns with unique guidelines added complexity.

Solutions Implemented: Our predictive analytics solution streamlined compliance processes, optimized resource allocation, and automated monitoring using AWS SageMaker and Python. The solution differentiated compliance types, providing valuable insights into store performance.

Automating Compliance Monitoring with AI: AWS SageMaker and Python's AI and computer vision capabilities revolutionized compliance monitoring. The custom model swiftly analyzed product placements, shelf organization, and promotional displays, eliminating manual inspections and enhancing productivity.

Impact Unleashed: The automated system resulted in a quantum leap in productivity and savings, empowering our retail partner to conquer the market with unrivaled shelf and display excellence.

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