We align PE-backed CPG leaders on high-impact predictive AI and automation initiatives. Build a 90-day pilot plan grounded in POS data, DTC insights, and inventory realities.
Leave with a decision you can defend: owners, sequencing, and a clear path to EBITDA impact.
View the Executive AI BriefingNext: Full agenda, what you leave with, and fixed-fee investment.
Our Executive AI Briefing aligns your leadership team on 1-2 high-confidence AI use cases tied to revenue and working capital, with AI governance and accountability built in.
"Where will AI actually deliver revenue lift or margin protection?"
"How do we use AI to reduce inventory waste or CAC?"
"What’s the 90-day proof plan and who owns it?"
Cross-functional by design: Brand/Marketing • Revenue Growth Management (RGM) • Supply Chain/Planning • Data/IT • Finance
Why CPG teams lose margin and shelf share while competitors iterate faster.
When signals from retailer portals and social listening arrive late, you miss category shifts, delay NPD, and over-invest in the wrong SKUs.
Without predictive modeling and tighter feedback loops, promo dollars leak, ROAS declines, and customer acquisition costs rise.
Disconnected POS, e-commerce, and 3PL data forces merchants and planners to make decisions based on spreadsheets and partial truth.

A straightforward, three-step process to move from data strategy to measurable business results.

A focused call to assess mutual fit and confirm AI readiness.
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Align the C-suite on prioritization, risk, and EBITDA levers, fast.
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Turn one high-friction task (like forecasting or content tagging) into a production workflow with measurable ROI.
Deploy a Workflow Optimization Sprint →"Pragmatic helped us cut through the hype and start using AI to improve how we launch, learn, and grow."

AI fails when you treat it as software rather than strategy. This executive-level diagnostic evaluates your organization’s readiness across five critical pillars: Strategy, Data, Execution, Governance, and Talent.
Yes. We implement AI-driven demand sensing that moves beyond historical averages to incorporate real-time signals (weather, social trends, competitor pricing). This typically improves forecast accuracy by 20–30%, allowing you to free up working capital trapped in safety stock while maintaining service levels for key retailers.
We shift you from "post-event analysis" to predictive modeling. Our workflows analyze lift coefficients across channels to identify which promos destroy value and which drive incremental volume. This allows you to reallocate trade spend in near real-time, often recovering 10–15% of margin previously lost to inefficient discounting.
Absolutely. You don't need a perfect data lake to start. We focus on "Minimum Viable Data", unifying just the critical feeds (e.g., Shopify + Amazon Vendor Central + 3PL) needed for a specific use case. We build lightweight ingestion layers that normalize this data for decision-making without a multi-year ERP migration.
Yes, by compressing the research and validation phases. We deploy generative AI agents to analyze consumer sentiment and competitor reviews at scale, identifying white space opportunities in days, not months. This reduces concept-to-shelf time and ensures new SKUs are launched with data-backed confidence.
Start with an AI Readiness Debrief. We’ll confirm fit, surface blockers, and recommend the right implementation path for measurable CPG impact, including which workflows to scale first and how to measure ROI quickly.
Apply for an AI Readiness Debrief30 minutes • Fit + blockers • Clear next step