— SECTORS · RETAIL
Thin margins reward precision.
In retail, the numbers that matter sit close to the line — a point of margin, a percentage of demand, a shift in the loss rate on a store-card book. There is little room for a model that is roughly right. We build the demand, pricing, and credit analytics that turn transaction data into decisions leadership can act on with confidence.

— THE LANDSCAPE
THE STATE OF THE SECTOR
South African retailers head into 2026 on steadier ground than they have stood on for years — the rand has strengthened, the country has come off the FATF grey list, and GDP growth has moved above 1%. But the consumer underneath is still stretched. Unemployment remains north of 30%, three-month arrears accelerated sharply in the final quarter of 2025, and rejection rates on new credit applications sit around 70–80% as responsible lenders stay cautious. For a sector built on volume and thin margins, that combination — cautious optimism over a fragile consumer — is precisely where good analytics earns its keep.
The credit side is tightening at the same time. Amendments to the National Credit Regulations published in August 2025 sharpen affordability-assessment obligations, requiring credit providers to validate income and apply minimum expense norms rather than lean on assumptions — a direct constraint on how store-card and instalment books are underwritten. Buy-now-pay-later is moving toward the regulated framework through mandatory bureau reporting and affordability checks. For retailers extending credit, the era of light-touch underwriting is closing.
This is what makes retail a modelling-and-analytics sector rather than a reporting one. Demand forecasting decides inventory and markdown. Pricing and promotion analytics decide whether a margin point is won or given away. Store-card credit risk decides whether a book grows profitably or quietly accumulates losses under a rising arrears curve. Each of these is a question the headline figures obscure — and each is answerable with the right model and the right data behind it.
– WHERE WE WORK
WHAT WE MODEL AND ANALYSE
01
Demand forecasting & inventory
Statistical demand models at product and store level — seasonality, elasticity, and trend — that inform inventory, replenishment, and markdown decisions before capital is committed to the wrong stock.
02
Pricing, promotion & margin analytics
Analytics that show where margin is genuinely made and lost across a range — price elasticity, promotion effectiveness, and basket and mix analysis — so a discount is a decision rather than a habit.
03
Store-card & consumer credit risk
Affordability, scoring, and expected-loss models for retail credit books — built to the tightened NCA affordability standards, and stress-tested against the arrears environment rather than a benign one.
04
Collections & recoveries analytics
Data-driven recovery strategy for the credit book — right-party-contact and contactability modelling, channel and treatment optimisation, and roll-rate and recovery-curve analysis — lifting recovery performance while standing up to conduct-side scrutiny.
05
Customer & performance analytics
Turning high-volume transaction data into decision-grade insight — customer value and segmentation, store-performance analysis, and the reporting layers that let leadership see what is actually driving results beneath the noise.
— WHY ALETHEIA
THE DIFFERENCE
Aletheia is an analytics and modelling firm, and retail is where those two disciplines meet most plainly: the model is only as good as the transaction data beneath it, and the data is only useful once the model turns it into a decision. The firm’s track record here is concrete — building the analytics and reporting frameworks that surface performance drivers, and delivering the right-party-contact and recovery modelling that lifts collections on consumer books.
The conviction that anchors every Aletheia engagement matters as much in retail as in a regulated sector: the work exists to reveal what is true, not to confirm what management hopes. In a business run on thin margins, the honest number — the real driver of performance, the real loss rate on the book — is worth more than a flattering one.
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YOUR MARGIN, EXAMINED
In retail, the difference between a good year and a hard one hides in a point of margin and a percentage of loss. The analytics that surface it are worth getting right. Tell us the problem.
ALETHEIA PARTNERS
Analytics. Modelling. Truth.
A specialist analytics and modelling consultancy, grounded in actuarial science. Based in Johannesburg, working with corporates, project sponsors and investors across Africa.
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