Automated commercial analysis
Commercial analyses that used to require consultants. Fully automated.
ProfitLens does the work that used to require weeks of consulting — from raw transaction data to prioritised recommendations.
The process is the same. The delivery is fully automated. This cuts the cost by 90–95% and makes advanced B2B pricing analysis accessible to everything from growing and mid-sized companies to business units of larger corporations.
Your data remains within Microsoft Azure inside the EU — covering both storage and all AI processing.
From business data to clear priorities
90–95%
lower cost than a traditional project
100%
of transaction data analysed
899 GBP
fixed price, excluding tax
Areas
Choose which part of the business to analyse
Available now
Pricing analysis
Find price leakage, discount dispersion and margin risk in your transaction data.
Coming soon
Sales force effectiveness (SFE)
Understand how sales time, coverage and activities translate into business results.
Coming soon
Purchasing
A comprehensive analysis of your indirect spend — categories, suppliers, price differences and savings potential.
The final report and presentation can be generated in any language you choose — for example, to share with a colleague or owner in another country.
Enterprise-grade security
Your data is handled in Microsoft Azure within the EU
Both storage and AI processing run on Microsoft's Azure cloud platform — the same platform banks, public authorities and global industrial companies rely on.
Storage in Azure within the EU
Uploaded client files are stored encrypted in Azure Blob Storage in Sweden. Transcripts, analysis results and reports are stored in Azure Database for PostgreSQL in Ireland.
AI in Azure OpenAI EU Data Zone
All AI processing — interviews, interpretation and presentation text — runs in Azure OpenAI within the EU. Customer data is never used to train the models.
Calculations in your own browser
The deterministic analysis engine runs locally in your browser with versioned code — every figure is traceable back to the source data.
From business data to clear priorities
Find the margin potential
See price dispersion, discount leakage, margin erosion and broken volume–price relationships across all your data.
Understand every number
Every finding has an evidence trail back to the transactions and checks behind it.
Move from findings to action
Get a report, presentation and AI chatbot that explains results and discusses possible initiatives.
AI never sees all of your data
The analysis is deterministic: findings, potential and every number are produced by versioned code — without AI. AI only assists in a few steps, under strict limits.
What AI can see
- Column and sheet names from your file.
- A handful of example values, with customer and product names replaced by codes (KUND-0147, ART-02318).
- Completed findings from the deterministic engine when the presentation text is written.
- What the respondent writes in an AI interview.
What AI never sees
- The whole file or whole columns — never a complete dataset.
- Customer lists, product registers or contact details in plain text.
- Rows you have not chosen to share — no transaction rows are sent for analysis.
- Your data for model training: Azure OpenAI does not use customer data to train its models. Microsoft may retain data for abuse monitoring under its applicable terms.
You set the level
Standard (recommended)
AI receives coded example values. Best quality and least manual work — and names are still never readable.
Limited (default)
Column and sheet names only. Examples are replaced by pattern descriptions such as "number, 2 decimal places, comma".
No AI on data (more manual work for you)
AI assistance in the data steps and AI-generated presentation text are switched off. Quality checks and deterministic analysis work as usual, but more choices must be made manually. AI interviews remain available: they use participants’ own answers, not the data file, and can add qualitative context to the findings.
You can see exactly what is sent
Before every AI call, you can open the complete text, word for word. Each call is logged per analysis with the time, step, mode and whether values were included — and the log can be downloaded.
You can switch mode whenever you like — for the whole account or for a single analysis. We never change the level you have chosen afterwards.
We removed consulting hours from every step, not the steps from the process.
Why can it cost 90–95% less?
Sales and scoping
Traditional consulting project
Needs analysis, scoping, proposals and trust-building before the project starts.
ProfitLens — fully automated
Clear scope, deliverables and fixed price. Buy and get started directly online.
Data gathering
Traditional consulting project
Interviews with CFOs, controllers, sales directors and sales reps, a tailored data request and manual preparation.
ProfitLens — fully automated
The customer sends ready-made secure links to the right people — upload links for the data and interview links for participants. The system reads, maps and structures the files.
Data analysis
Traditional consulting project
Manual quality review, a client-specific model and interviews on discount structures and profitability.
ProfitLens — fully automated
Immediate quality control and deterministic analysis while AI chatbots interview relevant people. Serious errors stop the run.
Presentation
Traditional consulting project
Consultants interpret results and run workshops on implications and initiatives.
ProfitLens — fully automated
Advanced AI combines analysis and interviews into traceable recommendations. A chatbot explains findings and discusses initiatives. You also receive a presentation and a workshop pack you can use internally in your organisation. In some cases, consulting time for an executive presentation and/or workshop can be added.
More than a BI tool
More than your BI system can tell you
A BI dashboard shows what has already happened. ProfitLens explains why it happened — and what is worth doing about it.
Deeper analysis than standard reports
Mix-adjusted comparisons, year-on-year price bridges and quarterly tracking — analyses that require a method built for pricing questions and that no BI tool offers as a ready-made report.
Numbers combined with qualitative data
AI interviews with the CFO, sales directors and sales reps are assessed alongside the analysis. That business context explains why the numbers look the way they do — a depth of insight transaction data alone can never provide.
The full picture, not just averages
BI systems can mislead management when they only show averages and trends. ProfitLens shows the spread behind the averages: which customers, products and sales reps actually drive the outcome.
The same process. Without the consulting hours.
20 years of experience, codified
The method was developed and quality-assured by the team behind ProfitLens. Repetitive work is automated — not analytical rigour. Client data storage and AI processing use highly secure Microsoft Azure within the EU.
Data & security- 01Immediate quality checks on uploaded data.
- 02Deterministic calculations with traceable evidence.
- 03AI interviews add business context alongside the analysis.
- 04AI combines findings and interviews into recommendations.
What users say about ProfitLens
I've worked with traditional consultants before and tried ProfitLens — it's incredible how much you get for the money.
It's fascinating how much thought these analyses spark in the organisation — we run them quarterly to understand how our pricing strategy is developing.
Examples of findings
See what the analysis can uncover in transaction data.
Manufacturing
Margin leakage at an industrial components manufacturer
The same product was sold at widely different net prices, with no commercial explanation for the gap.
Read the full case studyStart your pricing analysis today.
Create an account and upload your data. No introductory sales call required.