In this episode of Retail Maverick Shorts, we explore a case study where hunches about shopper behavior, when validated with AI and data analytics, resulted in a transformative retail strategy. We discovered the revenue potential of tweaking pack sizes and transitioning products between different temperature zones. Our experiment led to a 13.7% increase in category revenue and a 9.4% surge for our client's brand. The outcome of our exploration underscores the power of intuition combined with AI in devising effective retail strategies, challenging traditional assumptions, and driving significant growth in the retail sector
Measuring Assortment Impact With AI: Strategy to Execution
The Role of AI in Planograms: Driving Sales and Enhancing Supplier Negotiations
How AI Drives New Product Innovation & Measure Impact
Russ Hawkins Russ Hawkins on Unlocking the Future of Retail: Challenges and Data Insights
How does AI help with assortment deletions and additions?
"What If" Scenarios: Exploring Assortment Strategies with AI
Podcast - Common Pitfalls in Product Line Reviews (PLR) and How AI can help
6 AI-driven use cases for scenario analysis and strategic assortment planning
Unveiling Edge Assortments: AI's Hidden Retail Gems
Unveiling the Retail Truth: Why Shoppers Lie and How AI is Changing the Game
Penelope Murdoch on Retail Transformation and Designing AI-Driven Products
Why Optimizing Demand Transfer at the Store Level Matters
"The Chameleon Effect: Unmasking the Dichotomy of Consumer Behavior
Dirk Herdes and Jackie Wightman on Leveraging AI Towards Locally Relevant Shelves
Navigating Price Strategies: The Delicate Balance in the Retail Industry
Mastering Price Pack Architecture with AI: Optimizing Assortment Across Retailers
Tyson Foods' AI-Driven Journey to Innovation & Brand Protection at Target Stores
The Power of “Item Pairing” in Assortment Strategy Scenario Simulation
Solving the Assortment Optimization Conundrum: Balancing Hyper-Local Retailing with Store-Level Operations
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