dunnhumby Assortment: Retail Assortment Planning and Customer Data Science
dunnhumby Assortment is designed for retailers and CPG brands to manage their product mix. It helps teams align inventory with shopper preferences using customer data science.
At a glance
- Category
- Marketing
- Best for
- Grocery retailers, Retail pharmacies, Retail financial services, CPG brands
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Retail Assortment Planning, CPG Category Management, Retailer-Brand Collaboration
- Official website
- www.dunnhumby.com
dunnhumby Assortment is a tool for retailers and CPG brands to plan the products they offer. It uses AI and data science to analyze customer behavior, moving beyond basic sales reporting to understand shopper preferences.
The software serves businesses in grocery retail, retail pharmacy, and retail financial services. It is designed to help these businesses create tailored assortments, which may support improved collaboration between retailers and brands.
Buyers should note that this is a modular solution within a broader suite of customer data science tools. It is recommended to confirm which specific modules and data science capabilities are required for their operational needs.
Key Features
Applies machine learning and AI models to analyze customer behavior to inform assortment decisions.
Analyzes shopper dynamics, preferences, and trends to create a comprehensive view of the customer.
A flexible and scalable solution that can be adapted to a business's specific retail media and data requirements.
Supports the development of personalized programs and tailored assortments using loyalty data.
Use Cases
Using data-driven insights to determine which products should be stocked to match customer preferences.
Helping brands manage product categories and promotions through an understanding of shopper behavior.
Sharing shopper dynamics and trend data to help brands and retailers align on product offerings.
Best For
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
It uses AI-powered data science to analyze customer behavior, helping retailers and brands create more relevant and tailored product assortments.
It is primarily designed for retailers in grocery, pharmacy, and retail financial services, as well as CPG brands.
While standard reporting tracks what was sold, dunnhumby Assortment uses customer data science to analyze the behavior and preferences of the shoppers.
Source category: Marketing
Source subcategory: Analytics & Reporting
