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The Causal AI conference is back in San Francisco for 2024, bigger and better than ever.

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Meet Us At NRF '24: Retail's Biggest Show

Find us at Booth 657 on January 14th, 15th, and 16th at the NRF Conference.

Finally, a proven and scalable solution to uncover the true drivers of change in Retail.

  • Profitability, what are the critical drivers week to week, and what levers can impact future weeks (forecasted)?
  • Promotional forecasting, integrated into overall planning, and use of counterfactuals to determine the ‘why’ behind the impact.
  • Pricing and promotional scenario building, supporting multi-dimensional outcomes, for example, revenue and margin.
  • Demand planning, understanding how market and macro (e.g., interest rates) are impacting categories and what to do

Join us for an in-person meeting to discuss how Causal AI is already solving some of the most challenging questions in Retail for the world’s largest organizations, and how your organization can benefit in the coming months.

Answer Retail's Tough Questions with Causal AI

With Causal AI, you can finally go beyond predictions and discover the actual drivers of:

  • Customer Experience
  • Profitability
  • Demand Investment ROI
  • Operational Efficiency
  • Shopper Behavior and Trends

Causal AI is the chosen technology for AI pioneers, Fortune 10, 500, and 1000 companies, and it is the only technology that understands cause and effect.

The Causal revolution is well underway, and global organizations are already seeing the results. It’s now not a question of if you invest in Causal AI, but when.

Proving ROI

Trusted By Leading Organisations

Transparency & explainability of AI models requires an understanding of causality – an inherent advantage of the causaLens platform.

Wendy Harrington, Chief Data & AI Officer




Understanding the causal drivers behind demand is critical, causaLens enhances our supply chain visibility and empowers our domain experts to run powerful what-if analyses.

Takashi Hiramatsu, Senior Manager, MLCC Planning Department



The causaLens platform has empowered us to create powerful and beautiful decision applications that we rely on for critical decisions.

Gerald Mullaly, Director