DEEP DIVE DATAA floor plan is a profit-and-loss statement written in physical form. Where a store puts its space, doors and tills is a costed bet on who walks in and what they buy.
Two grocery layouts, drawn roughly to scale, no labels, no brand, handed to an AI with one question: what can you tell about these businesses?
It read the demand curve off the doors. It predicted an acquisition outcome and named the timeline. Then the published numbers landed in exactly the same place, from two different starting points.
Store A. Separate entry and exit force a one-way route. Produce takes the centre. Prepared-food counters run down the right wall.
Store A is built for 30–45 minutes: a one-way route, produce at the centre, a butcher, bakery, sushi counter and juice bar ringing the edges.
Store B is built for 10–15 minutes: grab-and-go, seven dry-goods aisles defining the floor, tills stretched across the whole back wall.
Store B is exposed on almost everything it sells — mealie meal, rice, oil, sugar, soap: shelf-stable fast-movers a tuckshop stocks two blocks closer, in cash, with no VAT.
Store A is mostly out of reach. A tuckshop can't run a butcher, a bakery or a cold chain. Only its five dry-goods aisles are exposed — and by then the shopper is already spending on fresh.
| Tuckshop cost advantage, commodity goods | 30–50% |
| Informal economy share of GDP (ZIMSTAT) | 76% |
| Tuckshop share of rural & low-income trade | 70–80% |
No VAT, no corporate tax, no FX compliance. The cost gap is structural, not temporary — and the formal floor is shrinking.
The counters down Store A's right wall look like high-margin extras. They're not — they're a load-balancing mechanism. Deli, sushi, burgers and bakery pull demand into the dead hours and flatten the cost curve.
On a spreadsheet, every fresh-format decision reads as inefficient: worse food cost, worse labour productivity, more overhead. The integration playbook — centralise procurement, rationalise to fast-movers, close the kitchen — hollows the store out within 12–18 months.
The document that justifies the deal to the board is the document that dismantles the asset.
In a catchment with Spar, TM Pick n Pay and Bon Marché all competing, half the area's traffic flowed toward one store. That's not a footfall metric. It's gravity.
| OK Zimbabwe H1 USD revenue | −84% to ~$28M |
| Operating costs, one FY | Doubled |
| Rights offer raised to stay operational | $20M |
| Pick n Pay's TM writedown | To zero |
Meanwhile Food Lover's Greendale, owner-run for 40 years, holds a queue six days a week — while the same brand's Avondale and Borrowdale branches, run under a different operator, have both closed.
Fresh produce runs on a feedback loop: known-for-fresh → frequent buying → fast turnover → freshest stock → reputation. Slow it even slightly and the loop runs backwards — and by the time it shows in revenue, the produce really is stale, because customers really have noticed.
Kenya already ran this: Nakumatt and Tuskys collapsed under rapid expansion. The chains that replaced them grew slowly and protected quality store by store.
A 30–50% tax and compliance gap cannot be closed. Any floor plan a tuckshop can fit inside is a floor plan under structural attack.
The right question isn't "can I beat the tuckshop on price?" It's "is there a category they cannot enter at all?"
Sixty-nine stores is sixty-nine supplier networks and sixty-nine points of failure. The model that wins is depth in one location, run by an owner — not breadth across many.
The only question that matters when you draw one: is it a shape a tuckshop can fit inside? If yes, you're competing on the one axis you can't win.
Deep Dive Data covers Zimbabwe retail strategy and the informal economy.