
AI for CPG: How to plan across every retailer at once
How CPG brands use causal AI to plan trade and retail-media investment across Amazon, Walmart Connect, and Kroger in one model, not three.
Guides, case studies and research on Enterprise Decision AI, causal modeling and unified growth planning from DATA POEM.

How CPG brands use causal AI to plan trade and retail-media investment across Amazon, Walmart Connect, and Kroger in one model, not three.

AI is reshaping marketing mix modeling, from open-source Bayesian models to causal structure learning. What's changing, and what it means for your budget.

What geo lift and holdout incrementality tests actually measure, where each falls short, and where always-on causal measurement fills the gap.

Predictive analytics tells you what will happen; causal AI tells you what to do about it. The methodology difference, and when each one fits.

See the mechanism behind causal AI's replacement of MMM, MTA, and forecasting models for enterprise revenue decisions, and where each still falls short.

AI agents execute marketing decisions at scale. But can they own them? Why LLM agents recommend but don't decide, and what causal reasoning changes.

Compare five enterprise AI platforms for 2026: DATA POEM, Palantir, SAS, C3.ai, and DataRobot, by approach, deployment, and best-fit buyer.

We define the Large Causal Model, and how it differs from three academic uses of the term and from a standard large language model.

Consolidating data into one warehouse does not stop teams getting different answers. The real fragmentation is in the models. Here is how to fix it.

A step-by-step way to build the AI business case your CFO will fund: the spend table, the objections, and the build-vs-buy call.

Most enterprise AI projects fail for reasons no better model can fix. Here is the architecture problem underneath, and how to solve it.

Business intelligence shows you what happened. Decision AI decides what to do next. Here is the real difference, and why dashboards alone never move growth.

A practical guide to AI for business growth for enterprise leaders — the use cases that move the P&L, why most underdeliver, and what connects them into one decision model.

The enterprise intelligence stack has three layers that describe the business and one missing layer that decides. Here is what the fourth layer is and where it sits.

Watch Data Poem founder Bharath Gaddam at the ARF on moving enterprise growth from fragmented marketing mix models to causal, on-demand Decision AI. 48 minutes.

Enterprise planning unifies strategy and execution. See how Fortune 500 leaders build one plan across finance, supply chain, and commercial.
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