Know where your CPG brand
actually stands on AI.
A 2-minute self-assessment that benchmarks your data infrastructure and AI maturity against peer CPG and Food & Beverage companies. Instant score. Actionable report. No sales call required to get it.
Five dimensions.
One composite score.
The AI Readiness Assessment evaluates the building blocks every CPG company needs to deploy production-grade AI — from retail data integration to organizational alignment.
Syndicated, POS, loyalty, and first-party consumer data unified and actionable.
Demand sensing, inventory optimization, and AI-driven supply chain planning.
Data-driven trend mining, formulation analytics, and digital concept testing.
Trade promotion optimization, marketing mix modeling, and media intelligence.
Team structure, executive alignment, and AI talent strategy.
Three steps.
Under two minutes.
Built for CTOs and VPs of Data who know their stack. Every question is answerable in under 10 seconds.
One question at a time. Multiple choice. Each option describes a real state of data and AI maturity we see across CPG companies.
Composite score from 0–100 with tier label and dimension-level breakdown benchmarked against peer CPG brands.
3 prioritized recommendations with quantified expected impact. Something you can bring to your leadership team.
The gap between “we have AI”
and “AI drives the P&L” is measurable.
CPG companies investing in AI without the right data foundation are burning budget at pilot stage. The brands pulling ahead aren’t just experimenting — they’re building the infrastructure to deploy AI at scale across the value chain.
CPG brands with mature demand sensing see a 19% improvement in forecast accuracy (WMAPE). That translates directly to lower safety stock, fewer stockouts, and millions in working capital freed up.
Production AI requires unified retail data, clean supply chain signals, and cross-functional alignment. The score tells you exactly where your gaps are before you burn 6 months and a seven-figure budget finding out the hard way.
Based on our benchmark dataset. Most CPG companies are in the "Building" tier — strong in one or two dimensions, underinvested in others. Knowing which is the first step to scaling AI across the value chain.
Ten years building production data systems for CPG and Food & Beverage.
- Deep CPG and Food & Beverage data experience — retail data lakes, demand sensing, trade promotion analytics, and consumer intelligence platforms.
- We understand the CPG value chain from syndicated data harmonization through shelf-level execution.
- Our benchmark data comes from real engagements with CPG brands, not generic surveys. We know what good looks like at companies like yours.
- Outcome-aligned engagement model: our revenue is tied to the results we deliver, not the hours we bill.
FAQ
What is the CPG AI Readiness Assessment?
The CPG AI Readiness Assessment is a 2-minute, 10-question self-assessment for CPG and Food & Beverage companies. It scores your organization across five dimensions — Consumer & Retail Data Platform, Supply Chain & Demand AI, Innovation & R&D Analytics, Marketing & Trade Promotion AI, and Org & Talent — producing a composite score from 0–100 benchmarked against 140+ CPG brands.
Who is this assessment designed for?
This assessment is designed for CTOs, VPs of Data & Analytics, and Heads of Supply Chain at CPG and Food & Beverage companies who want to objectively benchmark their AI maturity against industry peers and identify the highest-impact gaps to close before investing further in AI initiatives.
How are scores calculated across the five dimensions?
Scores are calculated across five weighted dimensions: Consumer & Retail Data Platform (25%), Supply Chain & Demand AI (25%), Innovation & R&D Analytics (20%), Marketing & Trade Promotion AI (20%), and Org & Talent (10%). Your composite score is normalized to a 0–100 scale and compared against benchmark data from 140+ CPG and F&B companies.
Does the assessment cover retail data lakes and syndicated data?
Yes. The Consumer & Retail Data Platform dimension specifically evaluates how your organization manages syndicated data (Circana, NielsenIQ), retailer POS feeds, loyalty data, and first-party consumer data. It assesses data harmonization, refresh cadence, and whether brand teams have self-service access to unified retail insights.
How does the assessment evaluate demand sensing and supply chain AI?
The Supply Chain & Demand AI dimension evaluates your forecasting maturity (statistical baselines vs. ML demand sensing), use of POS signals and external factors, supply chain optimization capabilities, and whether AI extends into inventory management, transportation, and supplier risk. Companies scoring highest have real-time demand sensing with <15% WMAPE.
What does the trade promotion optimization dimension measure?
The Marketing & Trade Promotion AI dimension evaluates your ability to measure trade spend ROI, perform automated baseline/lift decomposition, run promotional scenario planning, and optimize marketing mix across channels. Trade spend is typically 15–20% of CPG revenue, and most companies cannot accurately measure its true return.
What is a good score for a CPG company?
The average score across CPG brands in our benchmark dataset is 33, placing most companies in the "Building" tier. Scores above 61 are considered "Advanced" and above 81 are "Leading." Most CPG companies have strong performance in 1–2 dimensions (often supply chain or marketing) and significant gaps in others (often innovation analytics).
Where can I download the State of AI in CPG & Food & Beverage 2026 report?
The State of AI in CPG & Food & Beverage 2026 (Q1 2026) is a free white paper published by Blue Orange Digital. It benchmarks data infrastructure maturity, AI adoption, and technology investment priorities across 140+ CPG and Food & Beverage companies. You can download it for free at https://blueorange.digital/pages/cpg/ — no form or sales call required.
State of AI in CPG & Food & Beverage 2026
Our Q1 2026 benchmark report analyzes data infrastructure maturity, AI adoption patterns, and technology investment priorities across 140+ CPG and Food & Beverage companies. Includes dimension-level benchmarks, tier distributions, and the top initiatives brands are prioritizing this year.
- Average scores by revenue tier and category (food, beverage, personal care, household)
- The 3 dimensions where CPG companies are most underinvested
- What separates “Leading” brands from the middle tier
- Demand sensing and trade promotion AI adoption benchmarks
Benchmark your CPG brand
in 2 minutes.
Walk away with a score, a peer comparison, and 3 prioritized recommendations. The full PDF report is yours immediately — no follow-up call required.
Get Your AI Readiness Score →