Aigenrix
Distribution / Wholesale

Find where distribution margin and working capital are being lost.

Aigenrix identifies, quantifies and prioritises economic leakage in pricing, inventory and receivables before any implementation begins.

Profit Recovery SprintFor distribution · 7–10 business days · From €2,500
View Sample Recovery Analysis

30 minutes, free and without obligation. The purpose is to assess whether a Profit Recovery Sprint is justified.

Where value is lost

Distribution leakage mapped to the four categories we quantify

These are possible diagnostic areas, not guaranteed losses — the Sprint establishes which ones are material in your business. Each issue is listed once, under the category where the money is lost.

Margin leakage

  • Margin leakage by SKU or customer
  • Discount leakage
  • Unprofitable customers
  • Purchasing variance
  • Rebate and supplier-incentive leakage
  • Pricing inconsistency
  • Freight cost leakage

Working-capital inefficiency

  • Slow-moving stock
  • Excess inventory
  • DSO
  • Credit-control gaps

Revenue leakage

  • Stockouts
  • Order errors
  • Returns

Operational inefficiency

  • Low warehouse productivity
Detection logic

How each leakage type is actually detected

Margin and discount leakage

  • Realised margin vs. list-price margin by SKU and customer
  • Approved discount vs. actual invoiced discount
  • Exception concentration by rep or account

DSO leakage

  • Invoice ageing
  • Customer payment behaviour
  • Overdue concentration
  • Billing delay from delivery to invoice
  • Dispute patterns

Inventory and stockouts

  • Inventory days by SKU
  • Stockout frequency against demand
  • Slow-moving stock ageing
  • Fill-rate trend

Purchasing variance and rebates

  • PO price vs. contracted price
  • Rebate accrual vs. rebate actually received
  • Supplier variance trend
What we analyse

Data inputs, not software integrations

  • Sales order data
  • Purchasing data
  • SKU and customer margin data
  • Warehouse data
  • Freight data
  • Inventory records
  • Receivables data
  • Pricing and discount data

These are data inputs the Sprint works from, read from the systems you already run — not new integrations or instrumentation.

Root-cause logic

We trace symptoms back to their operational cause

Uncontrolled discount approvalinconsistent pricing by repmargin leakage by customer

Manual credit-control processdelayed dunningextended receivables cycleworking-capital inefficiency

Poor demand forecastingstockouts on fast movers and excess on slow moversrevenue leakage and working-capital inefficiency together

Weak rebate trackingsupplier incentives never reconciledmargin leakage

Intervention logic

What can happen once a leakage source is confirmed

Not every finding needs the same fix, and not every fix requires AI. The Sprint identifies which mechanism actually applies before recommending one.

Pricing rulesApproval controlsCredit-control process redesignWorking-capital actionsInventory planning changesManagement reportingAutomationAI-assisted workflows, where justifiedSystem integration
Measurement model

How the financial effect is verified

Baseline → intervention → post-intervention measurement → realised financial effect

Gross margin by SKU and customerDSOInventory daysFill rate

Identified leakage is an economic opportunity, not a guaranteed result. Realised effect is only confirmed once it is measured against the agreed baseline after implementation.

Profit Recovery Sprint

How the Sprint works for a distribution business

The same Aigenrix methodology applied to your sales, purchasing and margin data — not a different product for distribution.

01

Establish the baseline

Current financial and operational performance — pulled from the systems you already run, not a client questionnaire. The reference point every later number is measured against.

02

Identify economic problems

Locate the economically material losses or inefficiencies in margin, cash, revenue and operations — not a generic checklist, the ones your data actually shows.

03

Trace the underlying causes

Separate what the data directly shows from what still needs validation — observed facts, causal hypotheses, and evidence-supported causes.

04

Quantify recoverable value

Separate total economic exposure from the addressable portion management can influence, and from the value that evidence and feasibility indicate may realistically be captured.

05

Build the recovery case

Define the intervention, implementation cost, expected benefit range, payback, confidence level and validation KPI — the investment case a funding decision can actually be made on.

Good fit

Is this a good fit for your business?

  • Approximately 20–250 employees
  • Approximately €3M–€50M annual revenue
  • Meaningful SKU and customer volume
  • Usable ERP, sales or warehouse data
  • Management wants measurable economics, not just a diagnosis
  • The business can act on findings once they are confirmed

Especially relevant when

  • Margin varies significantly by customer without a clear reason
  • Discounting decisions are inconsistent across the sales team
  • DSO has been drifting upward
  • Inventory keeps growing faster than sales
Evidence, not claims

See the methodology before you commit

No distribution case study is published yet, and we will not invent one. Review the methodology and the illustrative Sample Recovery Analysis used across every Aigenrix engagement.

Sample Recovery Analysis →
Illustrative example — not a client result
Case Studies →

Find out what distribution leakage is costing you

A Profit Recovery Sprint quantifies the exposure, prioritises what is worth fixing, and builds the investment case — before any implementation commitment.

View Sample Recovery Analysis

30 minutes, free and without obligation. The purpose is to assess whether a Profit Recovery Sprint is justified.

Prefer email? team@aigenrix.com