Last updated on December 12th, 2024
Dunnhumby has launched its next-generation assortment solution utilizing artificial intelligence (AI) to assist retailers in selecting products.
New features unveiled in dunnhumby Assortment include:
- Localized assortments: Retailers can now deliver hyper-localized assortments tailored to the unique preferences of their customer base.
- Space-aware assortments and planograms: A new integrated planogram tool optimizes layout and facings, giving shelf-ready layouts based on customer behavior insights. The tool automatically accounts for merchandising rules, physical constraints and local health and safety restrictions.
- A streamlined, end-to-end process: The end-to-end solution increases efficiency by enabling collaborative input from multiple teams throughout the assortment process, saving time and resources.
“In today’s dynamic retail landscape, keeping up with customer expectations while outpacing local competition is crucial,” said Jenn Dabbelt, global head of product. “Our new assortment tool, powered by advanced AI, allows retailers to build store-specific assortments centered on what the customer wants. This supercharges retailers’ ability to deliver by streamlining the entire process from end to end, helping them bring to life exceptional experiences for customers.”
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Advanced AI powering future of assortment
The new tool uses advanced AI, employing predictive analytics to quantify which products should be selected for which stores, before forecasting the impact of assortment changes across every location.
- Hyper-localization AI: Certain products perform better in some stores than others. Advances in dunnhumby’s AI means that retailers can now determine which products to select in more intelligent ways. By looking at the relationships between products and stores, advanced recommender systems can detect relationships and highlight opportunities with a lower risk of error.
- Planogram AI: By learning from existing planograms and customer behavior, retailers can use AI to choose assortments that optimize sales potential through space on the shelf. Not only does that save retailers’ time, but it also ensures that layouts are as intuitive as possible for customers.
- Predictive AI: Accurate predictions are crucial to building successful assortments. Predictive models show what will happen to customer demand when products are introduced to – or removed from – an assortment. For example, removing a certain pack size or flavor of cookie will not necessarily reduce category revenue by its full sales value. dunnhumby’s AI lets retailers understand how much of those sales would transfer to a similar remaining product in the assortment, creating a more accurate forecast.
“Retailers need to be able to understand customer needs – and which products are most likely to satisfy them – quickly and at scale. With decades of refinement behind them, the AI tools and techniques that we’ve built in dunnhumby Assortment now allow retailers to do exactly that,” said Julie Sharrocks, head of retail AI.
AI-driven ranging at Tesco
Partnering with dunnhumby, Tesco is using Assortment’s AI capabilities for assortment curation. This data-driven approach will enable Tesco to provide locally relevant assortments, improving the shopping experience and ensuring customers are able to find the right products in the right stores.
For more information about dunnhumby Assortment, visit www.dunnhumby.com/dunnhumby-assortment.
A webinar on dunnhumby Assortment AI is scheduled for 11 a.m. CDT on July 10. Online registration is available at https://bit.ly/4ckvee3.
About dunnhumby
Dunnhumby’s mission is to enable businesses to grow and reimagine themselves by becoming advocates and champions for their customers. The dunnhumby Customer Data Science Platform is a unique mix of technology, AI, software and consulting, enabling businesses to increase revenue and profits by delivering exceptional experiences for their customers – in-store, offline and online. dunnhumby employs more than 2,500 experts in offices throughout Europe, Asia, Africa and the Americas working for brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Raley’s.
