placeholder
placeholder
[EXAMPLE] Case Study

Assortment

Create customer-led assortment recommendations that reflect real customer behaviour

Woman browsing in a grocery store aisle
The opportunity

Assortment decisions may look data-driven on the surface, but too often they’re still built on averages and assumptions rather than real customer behaviour. Without science-led decision-making, retailers struggle to create a truly compelling customer offer - making it harder to stay competitive and deliver the right range, in the right place, at the right time.

  • Decisions rely on broad averages, not granular customer behaviour

  • Customer offers lack relevance, limiting differentiation and competitiveness

  • Ranges are shaped by constraints and inputs, not optimised outcomes

  • Opportunities to improve performance are missed through lack of optimisation

Two people looking at a laptop
How we help

dunnhumby helps retailers create more compelling, competitive customer offers by replacing assumption-led decisions with science-driven, customer-centric decision-making. Using advanced, retailer-built data science and AI, we optimise every assortment decision - connecting customer insight, commercial priorities, and real-world constraints.

  • Combine loyalty and EPOS data to understand customer behaviour at store level

  • Use impact science to quantify the commercial impact of every decision, balancing risk, opportunity, and performance

  • Generate AI-powered, space-aware recommendations optimised for customer and business outcomes

  • Align teams and suppliers around a single, actionable view of category performance

Get ranging decisions right first time

Make changes to your assortment with a clear view of how customers will respond, reducing the risk to sales and loyalty.

Man on his phone in a supermarket
Case Study

Simplyfying choice without sacrificing sales

At one Latin American wholesaler, discussions about range reduction had become subjective and difficult. dunnhumby used behavioural data to identify need states, reduce duplication, and uncover significant private label opportunities.

  • 44% SKU reduction

  • 99% sales retained

  • 100% customer needs maintained

  • $3.6M private label opportunity

Our impact
Our impact

2-5%

like-for-like sales uplift from coverage optimisation

10x

average return on investment

50%

efficiency savings through automation

5x

reduction in planogram build time

Analyst recognition

A Representative Vendor in the 2024 Gartner® Market Guide: Retail Assortment Management Applications: Long Life Cycle Products

Thought leadership




HowWeHelp BrandCollaboration AlignedDecisions

Contact us

Get in touch and discover how we can help you succeed by putting your customers first.