CPG Commercial Analytics
and AI Consulting
Created by practitioners with deep
CPG commercial analytics and AI experience
Your commercial data is there; the question is whether anyone’s pulling it together in a way that your sales and RGM teams can actually use. Leading CPG manufacturers are building AI-ready commercial data infrastructure and evaluating which AI applications are worth the investment for their unique commercial teams.
Cam spent a decade solving this exact problem at one of the largest CPG manufacturers. Together with his team, they built Alakai’s analytics and AI consulting practice around what actually works.
Your commercial data is only as useful as the infrastructure built around it
About 80% of commercial insights in CPG organizations are still generated manually. Answering your most valuable commercial questions takes too much time, if they’re being answered at all.
The manufacturers getting the clearest answers are connecting their data into something their teams can actually use.
Our core CPG commercial analytics and AI consultuing services
Commercial data strategy
We’ll identify gaps between your current data setup and the questions you need to answer. This includes where your data lives, how it’s consolidated, what’s missing, and what would need to be true for your analysts to stop rebuilding the same models from scratch every quarter.
You’ll walk away with a clear understanding of why your current setup isn’t working and what to focus on first.
PEA and RGM frameworks
We build or improve your team’s Post-Event Analysis (PEA) and Revenue Growth Management (RGM) frameworks for measuring trade promotion performance.
This includes incremental lift, gross margin impact, incremental net sales per trade dollar, and competitive overlays.
Insights prioritization and roadmap
Once we understand your data landscape, we help commercial leadership identify which analytics capabilities would have the highest near-term impact on decision-making.
We also outline a realistic build path based on your existing tech stack, analyst headcount, and organizational constraints, giving you a clear set of priorities and next steps.
AI-powered commercial workflows
Getting AI into the hands of your commercial team requires more than just finding the right tool. You need a data foundation that the tool can actually work with.
We help CPG companies build the commercial data infrastructure that AI workflows need to deliver valuable, accurate insights that drive ROI.
WHO WE WORK WITH
Outgrown your current CPG commercial analytics?
We can help.
We typically work with Directors of Sales Strategy, VP-level commercial leaders, RGM Managers, and the analytics or insights leaders who support them. We also work with commercial leaders who are evaluating AI tools for their teams and want an objective perspective on where those investments are most likely to pay off.
We work best with mid-to-large CPG manufacturers. Reach out if your situation looks like any of these:
- Your RGM or sales team makes promotion decisions based on last quarter’s analysis (because that’s all that exists).
- Your analysts spend more time consolidating data than they do learning from it.
- You have a TPM system, a BI tool, and Circana data…but none of them integrate easily to give your account teams clear answers.
- Leadership wants a full commercial data strategy, but no one has the bandwidth to build one from scratch.
WORKING WITH US
Three steps to a stronger commercial foundation
Step 1: Discovery call
Every consulting project starts with a simple phone call, not a scoping document or RFP. We spend 30–60 minutes learning about your current data setup, your commercial team’s structure, and the specific analyses you’re trying to do faster or more consistently.
There’s no prep work required on your end.
Step 2: Detailed findings and recommendations
Based on what we learn during your discovery call, we give your team a clear assessment. This covers where your data gaps are, why they exist, and what it would realistically take to fix them.
These deliverables are tangible and specific to your organization, not generalized best practices.
Step 3: Implementation (if applicable)
Want to move from recommendations to execution? Our team can scope and manage the work with you. For some organizations, that means building toward the Alakai platform. For others, it means a standalone data infrastructure project.
Either way, we stay involved and accountable throughout the agreed-upon project scope.
It all starts with a quick conversation
If you’re making decisions on month-old information or burning analyst hours on data consolidation, we can help.
