Come and join Milena Salmon, the host of Retail Mavericks, and Penelope Murdoch, the Lead Design Manager at HIVERY, as they delve into the exciting realm of design, AI, and retail transformation. This fascinating conversation covers a range of topics, from taking a holistic approach to design to the shift from digital transformation to AI products. You'll gain valuable insights into the modern retail industry and its evolution.

By listening to this podcast, you will not only gain insight into what it's like working as a designer at HIVERY, but you will also learn:
1. How real-time insights can shape retail, allowing for shelf optimization and operational efficiency.
2. How the importance of a holistic design ensures that products align with the overall service offering and meet users' needs.
3. The unique challenges and opportunities in transitioning from traditional digital design to AI-driven products.
4. The vital role of collaboration, trust, and innovation within teams in fostering creativity and staying competitive.

Welcome to another episode of Retail Maverick Shorts, where we explore key topics in the retail industry.

In this episode, we uncover the importance of optimizing demand transfer at the store level. Traditional approaches relying on national demand transfer curves often overlook the unique dynamics of individual stores.

By leveraging AI and store-level data, retailers can accurately predict demand transfer patterns, minimize cannibalization, and maximize incrementality.

We'll dive into the significance of tailoring assortment strategies to specific stores, using the example of Walmart stores in Miami to illustrate the transformative impact of optimizing demand transfer.

Tune in to uncover why optimizing demand transfer at the store level matters for retail success.

In this episode, we delve into the 'Chameleon Effect' and its impact on consumer behavior across various retail environments. We explore how AI, combined with store-level data, can uncover subtle variations in shopper behavior and enable more effective strategies. This episode promises to shed light on the intricate relationship between stated consumer preferences, actual purchase decisions, and the imperative of retailer-specific strategies in the fast-paced retail landscape

We all know that the right assortment in the right space and in the right stores can drive the most value. Locally relevant planograms, while in theory, it may sound great; in practice, it can be very time-consuming, and complicated to achieve. This is where AI comes in.

Join Dirk Herdes, VP of Retail, and Jackie Wightman, Sales Director from HIVERY in this CMA | SIMA 45 min hosted webinar to explore how AI is being used to rapidly (minutes not months) determine what is the most efficient cluster count while considering your category goals, merchandising constraints, and impact of demand transference.  Fundamentally changing the way consumer packaged goods (CPG) companies and retailers collaborate with regard to assortment and space decisions.

You will learn real practical examples:

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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

Join us in this podcast episode of Retail Maverck as we delve into the intricacies of retail competition. Determining the best product prices involves a complex negotiation between manufacturers and retailers, each with unique considerations and limitations. Our latest blog post examines the dynamics of price negotiations, trade incentives, and their effects on consumer behavior. You'll gain insight into the challenges manufacturers face, the difficult choices they must make, and how AI can assist you in navigating this landscape. Find out more about retail strategy and price dynamics in this informative discussion.

Welcome back to another episode of Retail Maverick Shorts! Today's short, we will explore how leading CPG brands have leveraged AI capabilities to inform price pack architecture and optimize their product portfolios across multiple retailers. By leveraging store-level data, AI allows businesses to make informed decisions, enabling them to create locally relevant, efficiently merchandised, and operationally streamlined plans. This powerful tool has allowed CPG brands to optimize their portfolios across various retailers, making informed decisions that drive retail success. AI-driven models such as HIVERY Curate help businesses optimize their assortments and reduce supply chain complexities.

Welcome to Retail Maverick Shorts! In today's episode, we explore how Tyson Foods, a leading multinational food corporation, used AI to uncover an additional $1.5 million opportunity. Faced with the challenge of expanding new product innovations without negatively impacting established national brands in Target stores, Tyson Foods leveraged AI to simulate and compare different strategies. The AI-driven analysis helped rebalance their current portfolio, protecting their national brands in the frozen meat category while maximizing distribution for new products. This case study demonstrates the power of AI in navigating the complexities of category management and adapting to changing market dynamics. Listen in to learn how Tyson Foods achieved faster mutual alignment with Target and executed the optimal assortment strategy using AI.

Are you looking to optimize your store's shelf space for a new product line? In this podcast episode, a team discusses their experience of using AI technology to optimize their shelf space and improve their revenue potential.

By applying merchandising constraints such as "item pairing," the team was able to run five different scenarios to analyze the impact on revenue. Specifically, they focused on item pairing and discovered that it significantly impacted their revenue potential. However, applying product orientation and front-facing rules did not significantly impact revenue potential.

This highlights the importance of taking a data-driven approach to analyzing multiple scenarios to create a final assortment strategy that meets necessary constraints while maximizing revenue potential. With the power of AI technology, you can analyze a greater number of scenarios and discover new revenue opportunities.

If you're looking to optimize your store's shelf space, consider implementing AI technology and a data-driven approach. By doing so, you can make more informed decisions and improve your revenue potential.

In this episode of Retail Maverick Shorts, we explore the Assortment Planning Conundrum and how AI can help retailers strike the perfect balance between store clusters, store-level operations, and consumer-centric assortments. As customer demands variety and convenience continue to rise, retailers are faced with the challenge of meeting these demands while remaining operationally efficient. Hyper-local retailing is becoming increasingly important, and an AI-driven approach to assortment optimization can help retailers achieve a more effective and efficient balance. By analyzing store-level shopper data, retailers can bring consumer-centric assortments to life while meeting business goals and adhering to store-level and national-level constraints and merchandising rules.