HIVERY Case Studies

Latest case studies from Hivery
case-studies

How machine learning and applied mathematics is used to discovery potential items to add to specific stores

May 12, 2021 | By

Coresight

The age of precision category management is upon us. Effective assortment and space localization can be a very challenging task for CPG companies and retailers, but if done right with the right methods, the incremental value generated is significant. Whether they are using a cluster approach or not, the ability for retailers and CPG companies to leverage store-level data in new ways opens up new opportunities to have the right product assortment to meet shopper demand across any store. You can watch the full recorded session with Deborah Weinswig, CEO & Founder of Coresight Research, with HIVERY’s VP, Client Services, NA, Steve Weir, and Director of Customer Success, Zach Simpson, in which they discussed the significant incremental value to retailers and CPG companies in optimizing assortment at the store level using advanced technologies in machine learning (ML) and data science (DS). In this on-demand mini-webinar, we cut to the question: On-demand mini-webinar: How machine learning and applied mathematics is used to discovery potential items to add to specific stores
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What are some of the key barriers faced when switching to store-specific analysis?
May 12, 2021 | By

Coresight

The age of precision category management is upon us. Effective assortment and space localization can be a very challenging task for CPG companies and retailers, but if done right with the right methods, the incremental value generated is significant. Whether they are using a cluster approach or not, the ability for retailers and CPG companies to leverage store-level data in new ways opens up new opportunities to have the right product assortment to meet shopper demand across any store. You can watch the full recorded session with Deborah Weinswig, CEO & Founder of Coresight Research, with HIVERY’s VP, Client Services, NA, Steve Weir, and Director of Customer Success, Zach Simpson, in which they discussed the significant incremental value to retailers and CPG companies in optimizing assortment at the store level using advanced technologies in machine learning (ML) and data science (DS). In this on-demand mini-webinar, we cut to the question: What are some of the key barriers faced when switching to store-specific analysis?
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How do analytical thinking and technology/data literacy complement each other when working with large data sets to draw shopper or category insights?
May 12, 2021 | By

Coresight

The age of precision category management is upon us. Effective assortment and space localization can be a very challenging task for CPG companies and retailers, but if done right with the right methods, the incremental value generated is significant. Whether they are using a cluster approach or not, the ability for retailers and CPG companies to leverage store-level data in new ways opens up new opportunities to have the right product assortment to meet shopper demand across any store. You can watch the full recorded session with Deborah Weinswig, CEO & Founder of Coresight Research, with HIVERY’s VP, Client Services, NA, Steve Weir, and Director of Customer Success, Zach Simpson, in which they discussed the significant incremental value to retailers and CPG companies in optimizing assortment at the store level using advanced technologies in machine learning (ML) and data science (DS). In this on-demand mini-webinar, we cut to the question: How do analytical thinking and technology/data literacy complement each other when working with large data sets to draw shopper or category insights?
Read more Right Arrow
case-studies
Why is there lower than expected usage of advanced analytical methods by the retailer/CPG industry?
May 12, 2021 | By

Coresight

The age of precision category management is upon us. Effective assortment and space localization can be a very challenging task for CPG companies and retailers, but if done right with the right methods, the incremental value generated is significant. Whether they are using a cluster approach or not, the ability for retailers and CPG companies to leverage store-level data in new ways opens up new opportunities to have the right product assortment to meet shopper demand across any store. You can watch the full recorded session with Deborah Weinswig, CEO & Founder of Coresight Research, with HIVERY’s VP, Client Services, NA, Steve Weir, and Director of Customer Success, Zach Simpson, in which they discussed the significant incremental value to retailers and CPG companies in optimizing assortment at the store level using advanced technologies in machine learning (ML) and data science (DS). In this on-demand mini-webinar, we cut to the question: Why is there lower than expected usage of advanced analytical methods by the retailer/CPG industry?
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case-studies
What is the financial benefit to retailers of such store-level analysis compared to clustering?
May 12, 2021 | By

Coresight

The age of precision category management is upon us. Effective assortment and space localization can be a very challenging task for CPG companies and retailers, but if done right with the right methods, the incremental value generated is significant. Whether they are using a cluster approach or not, the ability for retailers and CPG companies to leverage store-level data in new ways opens up new opportunities to have the right product assortment to meet shopper demand across any store. You can watch the full recorded session with Deborah Weinswig, CEO & Founder of Coresight Research, with HIVERY’s VP, Client Services, NA, Steve Weir, and Director of Customer Success, Zach Simpson, in which they discussed the significant incremental value to retailers and CPG companies in optimizing assortment at the store level using advanced technologies in machine learning (ML) and data science (DS). In this on-demand mini-webinar, we cut to the question: What is the financial benefit to retailers of such store-level analysis compared to clustering?
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case-studies
Why do many retailers choose to take the top-down approach vs clustering?
May 12, 2021 | By

Coresight

The age of precision category management is upon us. Effective assortment and space localization can be a very challenging task for CPG companies and retailers, but if done right with the right methods, the incremental value generated is significant. Whether they are using a cluster approach or not, the ability for retailers and CPG companies to leverage store-level data in new ways opens up new opportunities to have the right product assortment to meet shopper demand across any store. You can watch the full recorded session with Deborah Weinswig, CEO & Founder of Coresight Research, with HIVERY’s VP, Client Services, NA, Steve Weir, and Director of Customer Success, Zach Simpson, in which they discussed the significant incremental value to retailers and CPG companies in optimizing assortment at the store level using advanced technologies in machine learning (ML) and data science (DS). In this on-demand mini-webinar, we cut to the question: Why do many retailers choose to take the top-down approach vs clustering?
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case-studies
How do AI recommendations factor in online vs offline purchases?
May 12, 2021 | By

Coresight

The age of precision category management is upon us. Effective assortment and space localization can be a very challenging task for CPG companies and retailers, but if done right with the right methods, the incremental value generated is significant. Whether they are using a cluster approach or not, the ability for retailers and CPG companies to leverage store-level data in new ways opens up new opportunities to have the right product assortment to meet shopper demand across any store. You can watch the full recorded session with Deborah Weinswig, CEO & Founder of Coresight Research, with HIVERY’s VP, Client Services, NA, Steve Weir, and Director of Customer Success, Zach Simpson, in which they discussed the significant incremental value to retailers and CPG companies in optimizing assortment at the store level using advanced technologies in machine learning (ML) and data science (DS). In this on-demand mini-webinar, we cut to the question: How do AI recommendations factor in online (i.e. eCommerce) vs offline (in-store) purchases?
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case-studies
How are retailers using technology to draw shopper insights, how can machine learning help CPG companies and retailers adapt to fast changing consumer needs?
May 12, 2021 | By

Coresight

The age of precision category management is upon us. Effective assortment and space localization can be a very challenging task for CPG companies and retailers, but if done right with the right methods, the incremental value generated is significant. Whether they are using a cluster approach or not, the ability for retailers and CPG companies to leverage store-level data in new ways opens up new opportunities to have the right product assortment to meet shopper demand across any store. You can watch the full recorded session with Deborah Weinswig, CEO & Founder of Coresight Research, with HIVERY’s VP, Client Services, NA, Steve Weir, and Director of Customer Success, Zach Simpson, in which they discussed the significant incremental value to retailers and CPG companies in optimizing assortment at the store level using advanced technologies in machine learning (ML) and data science (DS). In this on-demand mini-webinar, we cut to the question: How are retailers using technology to draw shopper insights, how can machine learning help CPG companies and retailers adapt to fast changing consumer needs?
Read more Right Arrow
case-studies
How is analytical thinking going to transform category management?
May 12, 2021 | By

Coresight

The age of precision category management is upon us. Effective assortment and space localization can be a very challenging task for CPG companies and retailers, but if done right with the right methods, the incremental value generated is significant. Whether they are using a cluster approach or not, the ability for retailers and CPG companies to leverage store-level data in new ways opens up new opportunities to have the right product assortment to meet shopper demand across any store. You can watch the full recorded session with Deborah Weinswig, CEO & Founder of Coresight Research, with HIVERY’s VP, Client Services, NA, Steve Weir, and Director of Customer Success, Zach Simpson, in which they discussed the significant incremental value to retailers and CPG companies in optimizing assortment at the store level using advanced technologies in machine learning (ML) and data science (DS). In this on-demand mini-webinar, we cut to the question: How is analytical thinking going to transform category management?
Read more Right Arrow

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