Power BI profit audits for DTC and logistics
Most dashboards tell you what happened. Mine tells you what to do about it. A fixed-fee profit audit, built in Power BI, that pinpoints exactly which SKUs, channels, and carriers are quietly eating your margin.
You can pull a Shopify export, a carrier invoice, an ad spend report, and a stock movement file. What you cannot do is sit them on top of each other and ask which channel is profitable after returns, which carrier is silently dragging your return rate up, or which SKU is propping up the entire portfolio. That is the question this audit answers.
Selected work
Both case studies were built on simulated data that replicates real Shopify-tier unit economics and multi-carrier logistics flows. They are methodology demonstrations, not anonymised client reports. They show exactly what an audit deliverable looks like, page by page, finding by finding.
DTC e-commerce
Eight-page audit on a simulated beauty brand with €412.55K annual revenue across 10 SKUs. Surfaced €40,820 in misallocated capital, flagged two structurally loss-making SKUs, and built a live scenario simulator that models a +44% contribution uplift without launching a new product.
Logistics and 3PL
Six-page audit on a simulated pan-European fulfilment network. €204.7K in sales across 1,000 orders, 20 countries, and 5 carriers. Surfaced GLS at 31.91% return rate versus PostNL at 21.96% despite comparable delivery speed, and produced a country-level carrier reallocation plan.
How it works
Bring one report you currently use to make a decision. I will tell you what is missing from it and what an audit would surface. No slide deck, no commitment.
Order data, product cost data, carrier or shipping data, and any spend data you track. CSV or Excel. Messy is expected. Cleaning is part of the work.
Five to ten working days. The result is a six-page Power BI report with a scenario simulator, drill-through architecture, and a written diagnosis page. Same depth as the case studies above.
Delivered as a .pbix file. You can open it in the free Power BI Desktop on Windows. You only need a paid licence if you want to share it online with your team.
Pricing
The audit is the wedge. Retainers are optional, and you only consider them after you have seen the work.
Where most engagements begin
€1,500
One-time, fixed fee
€400/mo
Tier 1, after audit
€900/mo
Tier 2, after audit
Need more depth, faster turnaround, or live dashboards inside your environment? Ask about Tier 3.
About
I am Kenechukwu (Donald) Ifeanyi-Ezeaka. K.I.E Advisory is the consultancy I run from Bratislava. The reason this audit works is not Power BI. The reason it works is that I spent three years inside European logistics operations at DB Schenker, Denso, PostNL, and Royal Flora Holland before I learned to build the dashboards. I have seen the difference between the spreadsheet the founder is looking at and the operational reality behind it. The audit is built to close that gap.
The Power BI work is self-taught and goes deeper than most agency output. The .pbix files I deliver use disconnected dimension tables for shared-measure routing, layered measure architecture from unit-level to portfolio-level via SUMX, VAR-driven contribution margin to avoid circular dependency, live what-if parameters for scenario simulation, drill-through pages, and tooltip canvas pages registered as tooltips. If those words mean something to you, you know the level. If they do not, the case studies show exactly what comes out the other side.
The diagnostic mindset comes from medical training. Symptoms are not the disease. A 7% drop in margin is a symptom. The disease is one specific carrier, or one specific channel, or one specific SKU mix decision that was made six months ago and never reviewed. The audit finds the disease.
FAQ
No. The audit is delivered as a .pbix file. You can open it in the free Power BI Desktop application on any Windows machine. A paid licence is only required if you want to publish the dashboard online for team access.
Five to ten working days from the moment your data lands in my inbox. Most of that time is data cleaning and modelling, not analysis.
CSV or Excel exports from your existing systems. Typical inputs are order data, product cost data, carrier or shipping data, and any spend data you already track. Messy is fine. Cleaning is part of the work.
Not at the same scope. I do offer an audit-lite at €750 with one KPI page, two or three findings, and no scenario simulator. Different product, different depth. Most clients find the full audit pays for itself on the first finding.
DTC e-commerce brands doing roughly €500K to €10M in annual revenue who suspect their margin is leaking but cannot see where. Logistics operators and 3PLs running multiple carriers with patchy visibility into where the cost is going. Founders and operators who make decisions on Excel exports and want one source of truth.
No. Both case studies are built on simulated data that replicates real Shopify-tier unit economics and multi-carrier logistics flows. They are methodology demonstrations. The depth of the modelling, the DAX architecture, and the structure of the audit are identical to client work. Real client numbers stay with the client.
Bring one report you currently use to make a decision. I will tell you what is missing from it and what an audit would surface. No commitment, no slide deck, no follow-up sequence.
Prefer LinkedIn? DM me there.