Where Northlea works

We work where better decisions can materially change the economics.

Northlea focuses on the operational problems that show up in management meetings long before they become a technology brief: margin that refuses to follow sales, cash absorbed by stock and receivables, demand that moves before the forecast does, and information scattered across systems that management cannot use quickly enough.

The work starts in that operational dirt. Technology comes later.

Different symptoms. The same commercial test.

Which constraint is materially affecting revenue, gross profit, cash, risk or growth, and what decision would change it?

01

Revenue and gross profit

When growth creates activity faster than it creates economic value.

02

Forecasting and allocation

When demand becomes visible after stock, capacity or procurement has already been committed.

03

Working capital and cash

When inventory, DSO and purchasing cycles quietly absorb the room management needs to act.

04

Credit and risk

When the formal record tells only part of the economic story.

05

Operational visibility

When critical signals exist but are trapped across systems, teams and reporting cycles.

06

Decision systems

When the core ERP records the business reliably but does not answer the next management question.

Sales are growing. Why isn't the profit following?

A business can be busy, growing and still become economically weaker. Sales increase, but discounts deepen. A major customer looks attractive until the cost of serving them is properly understood. Fast-moving products can absorb cash while contributing very little margin.

In retail and distribution, this often becomes an allocation problem as much as a reporting problem: local-currency spending velocity shifts, stock cover stretches in the wrong categories, and buying commitments keep moving even while receipts and margin quality deteriorate.

We want to know:

  • Which customers actually make us money once we have served them?
  • Which products look successful because they sell well, but contribute very little?
  • Where are discounts quietly eating the margin?
  • Which parts of the business are growing faster than their profitability?
  • Where are we spending significant effort without enough economic return?
  • Are we chasing revenue that is making the business harder to run?

The objective is not another profitability report. It is to give management a decision view of where growth is creating value and where it is merely creating activity.

Illustrative prototypeMerchandise Financial Planning
NORTHLEA / DECISION LAYERLIVE MODEL
Executive view

Open-to-buy, margin and stock cover in one decision view

FY26 · W39
PortfolioOTBMarginStock coverStores
Open-to-buy$2.14m-$380k
Weeks cover9.6+1.8
GMROI2.3x
Markdown exposure$610k
CategorySales vs planCoverOTB action
Core fittings+8.4%5.2wBUY
Premium brassware-6.7%14.8wHOLD
Heating+2.1%8.3wREBALANCE
Illustrative prototypeSeason Commitment Engine
NORTHLEA / DECISION LAYERLIVE MODEL
Executive view

Commit capacity before demand becomes obvious

FY26 · W39
Season planCrop volumeCapacityRevenueRiskScenarios
Base volume42.8kt
Committed capacity39.0kt91%
Error cost$1.36mP50
Revenue at risk$4.8m
Volume confidence band8-week decision window
W-8Season open
DECISIONCommit another 2.5kt only if the upper confidence band holds for two consecutive weeks.

Better decisions before demand becomes obvious.

Forecasting only creates value when it changes what the business does. The real decision may be how much crop volume to commit, how much processing capacity to reserve, how much inventory to buy, or where capital should be deployed before the signal is obvious.

In seasonal businesses, a forecast error can become a capacity error, a procurement error and eventually a revenue problem. In imported or long-lead-time environments, the decision window can close months before customer demand is fully visible.

Northlea can structure decision systems that model scenarios, confidence bands, error costs and the commercial consequence of committing too early or too late.

Cash problems often become visible after the damage has already started.

Working-capital pressure rarely begins on the day the bank balance becomes uncomfortable. Stock starts accumulating. Receivables stretch. Procurement cycles outpace customer receipts. A weakening local currency changes replacement cost faster than selling prices adjust.

By the time the pressure is obvious in cash, the operating decisions that caused it may be weeks or months old.

Questions management should be able to answer early

  • Where is inventory building faster than demand?
  • Which customers are beginning to pay more slowly?
  • Where are operating decisions increasing the cash-conversion cycle?
  • Which parts of the business are consuming working capital without creating enough return?
  • What would management need to see earlier to intervene?
A DSO problem discovered at month-end is an accounting observation. The same drift seen while terms can still be changed is a management signal.

Better risk decisions begin with better information.

In many African markets, conventional records may provide only part of the picture. A customer can have limited formal history while still leaving commercially useful signals through purchasing behaviour, payment patterns, transactions, operating history and trading relationships.

The objective is not to weaken risk standards. It is to make relevant economic behaviour usable in a controlled human decision: who to serve, how much exposure to take, when terms should change and when risk is beginning to deteriorate.

Illustrative prototypeCredit Decision Layer
NORTHLEA / DECISION LAYERLIVE MODEL
Executive view

Formal records plus economic behaviour

FY26 · W39
Requested line$180k
Suggested line$125k
Payment trendImproving
Risk review30 days
Observed signalsLast 180 days
  • Order frequencyStable
  • Average basket+11%
  • Payment variance-4.2 days
  • Returns / disputesLow
Decision rationaleHuman review required

Economic behaviour supports a higher limit than the formal record alone, but concentration risk remains material.

CONTROLIncrease in two steps, subject to payment performance.

Management cannot act on what the business cannot see.

Most organisations already generate significant amounts of information. The difficulty is that it often sits across systems, spreadsheets, teams, messages and individual knowledge.

The question is not whether more dashboards can be built. It is which commercial signals need to come together before management can act with confidence.

  • What information is management repeatedly waiting for?
  • Which important signals are buried across several systems?
  • Where are decisions being made using partial or stale information?
  • Which patterns are obvious locally but invisible centrally?
  • What needs to come together before management can act with confidence?

Recording what happened and knowing what to do next are different problems.

ERP, accounting, CRM and point-of-sale systems create structure and control. Northlea is not interested in replacing systems that are already doing those jobs well.

The opportunity is often to create a decision layer around them. In a retail environment, for example, that could mean extracting sales, stock, purchase-order and margin data from an ERP environment such as Microsoft Dynamics 365 Business Central with LS Central, calculating open-to-buy, stock cover and margin exposure, and presenting the result as a management decision rather than another report.

In another business, the same principle might connect procurement, sales and cash data into an executive operating view, or turn fragmented credit signals into a controlled underwriting workflow.

The implementation changes. The principle does not: preserve the operational backbone and make more of what the business already knows useful.

Technology is useful when it changes the outcome.

Northlea can use AI, forecasting, analytics, workflow automation, integrations and bespoke software when the commercial case is clear.

We are equally comfortable recommending a simpler process or control if that produces the better economic result.

AI-assisted analysisForecasting systemsDecision supportWorkflow automationERP decision layersExecutive operating viewsInformation extractionBespoke software
The deliverable is not “AI”. The deliverable is a better commercial capability.

Start with the decision that matters.

A Northlea engagement begins by understanding the business problem, the economics surrounding it and the decisions management believes are constraining the outcome.

From there, we examine the information already available, define the intervention that could improve the decision and test whether the economics justify implementation.

The first objective is clarity. Not implementation.

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The practical test

What is management deciding today with information it wishes it had yesterday?

That is often where the commercial problem, the information problem and the technology opportunity meet.

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