The Consumer AI Experience & Marketing Award recognizes retailers that are leveraging artificial intelligence to enhance customer-facing experiences, drive marketing performance and adapt to how consumers are using AI in the shopping journey.  

This award celebrates innovative AI initiatives such as personalization, generative AI, conversational commerce, predictive analytics, automation and more in order to strengthen customer engagement, build brand authority with existing and new AI platforms, and deliver measurable impact in traffic, conversion, loyalty, and sales.

 

CONTENT REQUIREMENTS FOR CASE STUDY:

Introduction (100 Words)

Please include the following in your response:

• Name of retailer
• Name of AI initiative
• Area of application (e.g. customer service, personalization, marketing, content creation, commerce)
• AI technologies or platforms used (high-level)
• Brief overview of the initiative and its customer or marketing focus

 

Needs and Objectives (300-500 Words) – 20%

Please include the following in your response:

• The customer or marketing challenge addressed (e.g. engagement, conversion, service scalability, content production)
• Why AI was the appropriate solution
• Target users or beneficiaries (customers, marketing teams, customer service teams)
• Objectives and intended outcomes, such as improved personalization, customer satisfaction, traffic growth, conversion, or brand impact

 

Program Details & Results (600-1000 Words) – 70%

Please include the following in your response:

• Overview of the initiative from concept through launch
• How AI was designed, trained, implemented, and integrated into customer-facing platforms or marketing workflows
• How the initiative improved outcomes such as:
  • Customer personalization, engagement, or loyalty
  • AI-powered customer service or conversational experiences
  • Marketing performance, targeting, or campaign optimization
  • Content creation efficiency or effectiveness
  • Traffic, conversion, or sales performance
• Governance considerations (e.g. data privacy, consent, transparency, bias mitigation, responsible AI use)
• Internal and external collaboration (marketing, digital, CX, agency or technology partners)
• Resources, budget, and timelines (high-level)
• How success was measured and evaluated
• Results achieved, including (as applicable):
  • Revenue growth or conversion lift
  • Traffic or engagement improvements
  • Marketing efficiency or ROI gains
  • Customer satisfaction or loyalty metrics
• Key learnings, scalability, and future roadmap

Supporting Evidence: Judged – 10%

Provide relevant examples with brief descriptions (e.g. campaign results, chatbot transcripts, personalization dashboards, content outputs, performance metrics).

 

FORMATTING REQUIREMENTS FOR CASE STUDY:

1. Title Page
   (Must include Award Category, Name of Company and Title of Submission)
2. Table of Contents
3. Content Pages
   • Introduction
   • Needs and Objectives
   • Program Details & Results
4. Appendices (if applicable) and Supporting Evidence with description