PROFIT & GROWTH ANALYTICS
See at which customers delivery goes wrong, and what it costs.
An average delivery rate often looks fine. In four to six weeks, we show at which customers and product groups deliveries are late or incomplete, how lead time is developing, what complaints and credit notes cost, and whether those customers have been ordering less since.
On time and in full, per customer, product group and month
Complaints and credit notes per cause, alongside revenue and customer retention
Power BI report in your own environment, no vendor lock-in
Fixed price upfront: Data Quick Scan €3,500, Operational Excellence from €24,000 excl. VAT
We never share your data with third parties
Why late delivery is a commercial problem
Delivery reliability is usually measured by operations, as one percentage for the whole company. As long as that percentage looks good, nobody looks further. But a customer doesn't experience an average. A customer who receives late or incomplete deliveries three times in a row starts looking elsewhere, and usually doesn't say so. Meanwhile, complaints and credit notes sit in another system, and nobody puts them next to that customer's order history. Operational Excellence does: delivery reliability per customer and product group, alongside credit notes, lead time and ordering behavior afterwards.
What customers recognize
"Our delivery rate looked fine. Just not at our largest customers."
Client, anonymized
One delivery rate, or measured per customer
The old approach
One delivery rate for the whole company
On time and in full measured separately
Lead time as a feeling, without a trend
Complaints and credit notes in another system
"That customer always complains" as an explanation
Too much stock of one item, saying no on another
A customer who drops off only shows up in the revenue figures
Operations and sales discuss different numbers
The Novarix approach
On time and in full, per customer, product group and month
Lead time trend per product group and per customer
Complaints and credit notes per €100,000 of revenue, with cause
Customers with the highest complaint risk by name
Delivery reliability alongside ordering behavior and revenue growth
Stock positions that are structurally too high or too low
One number for operations and sales
Daily refresh, immediate alerts
Our approach in four phases
From initial data assessment to delivered report: four phases, four to six weeks, fixed price. No surprises along the way.
PHASE 0 - BEFORE THE PROJECT
Data Quick Scan
Assessment of order, complaint and stock data
Determine which date can serve as the delivery promise
Written advice + quote for the main package
Amount credited if you proceed
PHASE 1 - WEEK 2-3
Build data model
Load orders, deliveries, complaints and stock
Agree together what on time and in full means
Link complaints and credit notes to order and cause
Data model ready for daily refresh
PHASE 2 - WEEK 4
Analysis and validation
Delivery reliability and lead time per customer and product group
Delivery reliability alongside ordering behavior and revenue growth
Assess stock positions
Review interim results with operations and sales
PHASE 3 - WEEK 5-6
Delivery and handover
Power BI report in your own environment
Management presentation with findings and recommended interventions
Documentation of model and definitions
Two weeks of support, plus an intake for optional ongoing guidance
Why Novarix for a delivery reliability analysis
We build a diagnosis that operations and sales can sit down with together: which customers receive late deliveries, what that costs in credit notes, and whether they still order as much as before.
The methodology comes from practice: we work with order and ERP data from B2B distributors and manufacturers in four countries, including where that data is spread across multiple systems. Not separate operational figures, but delivery reliability translated into customers and revenue.
We never share your data with third parties
Fixed price upfront
No open-ended commitment, no hourly billing. The price is fixed before we start.
Your own environment
The report runs in your own Power BI. Model and data are yours, no vendor lock-in.
Proven methodology
Developed and running live at multiple B2B organizations.
Concrete outcome
Delivery reliability per customer, with credit notes and revenue in euros alongside.
Short turnaround time
Four to six weeks from start to delivered report.
Optional guidance
After delivery, we can act as your sounding board every month.
Package and investment
Package contents
Power BI report: delivered on time and in full, per customer, product group and month
Lead time trend per product group and per customer
Complaints and credit notes with cause and trend
Stock turnover per item and customer group
Delivery reliability alongside customer retention and revenue growth
Management presentation with findings and recommended interventions
Data model ready for daily refresh, including documentation
Two weeks of support
Investment
Two steps:
1
Data Quick Scan - entry point
€3,500
Two-day data assessment. Every diagnosis starts with this: so it's clear upfront whether the data can support the analysis. Credited if you proceed.
2
Main package - fixed price
From €24,000
excl. VAT, starting price for companies up to €20 million in revenue, final price after the Quick Scan.
Why this pays off
The diagnosis shows per customer, in euros, what late or incomplete delivery costs in credit notes, and whether those customers have started ordering less. This way the investment is measured against concrete amounts: not a cost item, but measurable returns.
Customer experiences
Frequently asked questions
Answers to your questions.
Questions we often receive before starting an Operational Excellence project.
We never share your data with third parties
Which organizations is Operational Excellence suitable for?
For B2B manufacturers and distributors where delivery reliability and lead time count in the customer's choice. Typically companies with €5 to €100 million in turnover, with a Power BI environment or willingness to set one up.