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

Client Overview: A prominent US-based retail giant, with a dedicated workforce of 25,000 employees and a diverse product range.

Navigating Complexities: Managing promotional campaigns across an extensive network of retail stores posed challenges. Coordinating compliance for POS, shelf, and display across thousands of stores required a significant annual investment of 250,000-man hours. Aligning diverse brand requirements added complexity, demanding meticulous attention.

Innovative Solutions Unveiled: Our predictive analytics solution seamlessly integrated with the client's campaign management system. It bridged the gap between predictive and actual sales, swiftly identifying non-compliant stores and automating shelf and display monitoring in 3-5 days. Leveraging AWS SageMaker and Python, the solution reduced excessive manpower and ensured compliance.

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Impact Achieved: Implemented initiatives resulted in:

• 85% Manpower Reduction: Significantly reduced compliance monitoring manpower for strategic resource allocation.
• Enhanced Promotion Impact Measurement: Refined understanding of promotion impact for each brand.
• Optimized Resource Allocation: Efficient allocation of resources in critical business areas.

Client's Retail Leadership: A retail industry leader in the USA, operating millions of stores globally with 25,000 dedicated employees. Their commitment to innovation and excellence has solidified their position in the retail landscape.

Addressing Challenges: Managing compliance across diverse stores and brand-specific promotion campaigns presented hurdles. The scale of operations, unique brand guidelines, and extensive manpower requirements (250,000 man hours annually) demanded a comprehensive solution.

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Tailored Solutions Unveiled: Our analytics team developed a predictive analytics solution seamlessly integrating with the campaign management system. Bridging the gap between predictive and actual sales, the solution swiftly identified non-compliant stores and automated shelf and display monitoring using AWS SageMaker and Python.

Transformational Outcomes:

• Manpower Reduction: A substantial 85% decrease in manpower for compliance monitoring.
• Strategic Resource Allocation: Efficient allocation of resources in critical business areas.
• Promotion Impact Measurement: Enhanced measurement of promotion impact for each brand.

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