dunnhumby Assortment Uses Advanced AI to Enhance Customer Experiences
Laura McQuarrie — July 4, 2024 — Tech
References: dunnhumby & businesswire
dunnhumby Assortment is a next-generation assortment solution that taps into the power of advanced AI to enhance how retailers select products. This innovation from the customer data science leader helps to optimize layouts and facings based on customer behavior insights, and it automatically accounts for merchandising rules, physical constraints and local health and safety restrictions.
With the support of Assortment, retailers can set up hyper-localized assortments tailored to unique customer preferences, recognizing that certain products like protein shakes sell better near gyms.
In addition to saving time and resources throughout the process by streamlining input from multiple teams, the dunnhumby Assortment AI employs predictive models to demonstrate what will happen to customer demand when products are added, or removed, from a store assortment.
With the support of Assortment, retailers can set up hyper-localized assortments tailored to unique customer preferences, recognizing that certain products like protein shakes sell better near gyms.
In addition to saving time and resources throughout the process by streamlining input from multiple teams, the dunnhumby Assortment AI employs predictive models to demonstrate what will happen to customer demand when products are added, or removed, from a store assortment.
Trend Themes
1. Hyper-localized Retail - Leveraging advanced AI for hyper-localized assortments recognizes regional preferences to optimize product selection.
2. Predictive Modeling Systems - Employing predictive models to assess customer demand changes when products are adjusted can significantly enhance inventory management.
3. AI-driven Merchandising - Integrating AI with merchandising rules and physical constraints ensures more efficient and effective retail layouts.
Industry Implications
1. Retail Technology - Innovations like AI-driven assortment solutions are revolutionizing how retailers manage and select their product offerings.
2. Customer Analytics - Advanced customer data science is becoming vital for understanding and anticipating consumer behavior in the retail sector.
3. Supply Chain Management - AI tools that optimize product layouts and assortments are streamlining the efficiency of the entire supply chain process.
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