Platform
The intelligence layer underneath the service
ChukAI is a services model powered by proprietary technology. This page is what that technology actually does – and what it deliberately does not ask you to do.
The loop
Four steps, repeated – each one sharper than the last
STEP 01
Build the intelligence layer
We connect ERP data and the spreadsheets that have grown up around it, then normalize everything into a transaction-level operating layer. Into that layer goes the context a generic tool never sees: your pricing logic, customer classifications, regional market, product nuance, sales behavior, and the tribal knowledge that currently lives in people's heads.
AI is only as good as the operating context underneath it. This step is why the rest works.
STEP 02
Apply AI to the business
The intelligence layer evaluates transactions across customer, product, supplier, pricing type, sales representative, customer type, end market, region, and order economics – simultaneously, and at the line rather than the price list.
Where a product-group rule sees one average, the model sees the thousands of distinct situations that average was hiding.
STEP 03
Implement through existing systems
No rip and replace. Recommendations flow back into the systems and workflows your teams already use – pricing guidance, margin floors, override reason codes, management dashboards, rep workflows.
ERP → ChukAI → ERP
STEP 04
Compound through feedback
Every implementation cycle produces more transaction data, more frontline feedback, more management context, and observed behavior. That feedback improves the relevance of the next analysis.
Static software cannot do this. Nor can a consulting engagement that ended at the recommendation.
Intelligence areas
What the layer produces
Not modules you configure. Analyses we run, review with your team, and implement.
Pricing stratification
Customer × product pricing built from actual economics, not product-group averages.
Item-specific guidance
A defensible price on the line, with the reasoning attached.
Override intelligence
Where discretion is costing money, by rep, brand, customer, and reason.
Margin-floor monitoring
Floors set to the economics of the line and enforced where the sale happens.
Rebate & SPA analysis
Contractual pricing separated into locked, negotiable, and addressable.
Customer profitability
True margin by customer, segment and location – including the accounts that cost more to serve than they return.
Market opportunity
Share, territory, and coverage analysis against your addressable market.
Executive intelligence
The reporting your board and sponsor ask for, without the monthly spreadsheet scramble.
Example outputs
What the analysis looks like
Shapes of analysis we run on every engagement. The figures below are illustrative – real outputs are built on your data and stay yours.
Illustrative – not customer data. Opportunity concentrates where broad rules are least accurate: slower-moving products sold to smaller accounts.
Illustrative – not customer data. Correcting the pricing hierarchy moves lines from discretionary overrides to system guidance, which is where override reduction actually comes from.
Bring us your hardest pricing question
We will tell you what the data would need to answer it, and what we would expect to find.