dunnhumby

Put the customer at the center of every decision

Understanding customer behavior and category trends is key to making customer-centric decisions around products, pricing and media.

dunnhumby Shop is self-serve software delivering on-demand insights to understand your customers’ behavior in stores and online. This enables you to make confident, data-led decisions that improve the customer experience leading to incremental sales growth and increased customer satisfaction.

How dunnhumby Shop helps you

Powered by best-in-class science and the granular data of your customers shopping in your stores and online, dunnhumby Shop ensures retailers and brands have the right insights to understand how categories are performing, create the right assortment, understand customer shopping behaviors and much more.

Retailers and brands have a shared view, which provides the framework for a transformative working relationship for the direct benefit of your mutual customers. We always put the Customer First in your decision-making.

For more information, go to: www.dunnhumby.com/retailers/category-management

Efficiently optimize your assortment for any scenario

Putting the right products in the right stores at the right time sounds simple. But it can only be done successfully and consistently when you truly understand customer preferences and respond accordingly.

dunnhumby Assortment utilizes world-leading Customer Data Science to ensure retailer’s product assortments meet the needs of their customers. Making faster, better-informed and consistent choices to put the right products, in the right stores to create an assortment that truly reflects local and customer preferences.

How dunnhumby Assortment helps you

The web-based tool ensures you can make better, faster, differentiated decisions on your product assortments, how best to manage inventory, and how to handle space on the shelf:

1. Actual customer purchase data allows us to understand when product substitutions happen
2. Automated and data-led recommendations based on a customer relevancy score, maximizing customers visiting the category to drive total store sales
3. Optimizes the recommendation based on the three drivers of coverage, performance and relevance

For more information, go to: www.dunnhumby.com/retailers/category-management

Optimize prices & forecast outcomes with Customer Data Science

In today’s highly competitive retail landscape, knowing how best to direct your price investments and satisfy your customer’s pricing needs, whilst juggling your commercial targets with operational excellence, is highly complex and time consuming.

dunnhumby Price enables retailers to strategically optimize prices and forecast outcomes, by leveraging Customer Data Science to inform the end-to-end price and promotions process.

How dunnhumby Price helps you

A powerful, user-friendly tool that recommends the optimal base prices for your shelves and customers so that you can deliver the right price on the lines that matter most to your customers, building their trust in your prices and ultimately improving your overall value perception.

1. Delivers a consistent pricing architecture
2. Price products using proven science that moves beyond cost-plus pricing
3. Understand forecasted commercial outcomes to a variety of strategic approaches and identify the most effective to boost top-line sales and margin

For more information, go to: www.dunnhumby.com/retailers/price-promotions/

Improve promotional performance with Customer Data Science

To plan and execute effective promotions, retailers must be able to accurately assess past performance and get detailed insight into the impact of each tactic.

Promotions Analytics enables you to understand past promotions, identifies potential growth opportunities and streamlines your planning workflow.

How dunnhumby Promotions Analytics helps you

Promotions Analytics is a web-based tool that adds value to the promotional planning process by using data and science to support everyday promotional decisions.

1. Provides category guidelines such as most incremental display type in order to optimize promotion plans
2. Calculates the incremental performance of historical promotions and the contribution each  tactic has delivered
3. Identifies the long tail of promotions that are sales and/or margin diluting

For more information, go to: www.dunnhumby.com/retailers/price-promotions/