Retail unit economics - is this shop actually healthy?

Two shops can look exactly the same from the street. Same size, same shelves, same busy-looking crowd. But one might be quietly making good money, and the other quietly losing it. You cannot tell by looking at the crowd or the banners. To really know whether a shop is healthy, you have to read a few plain numbers - the way a doctor listens to a heartbeat instead of judging by the person's clothes.

Radhakishan Damani built his shops by watching these plain numbers very closely. He was not chasing excitement; he was checking, again and again, whether each shop was truly earning its keep. This kind of careful reading is called looking at a shop's unit economics - a slightly fancy phrase that simply means: for one shop, does the money coming in beat the money going out, and by how much?

This study teaches three simple numbers that tell you most of what you need. None of them needs hard maths. Each is just a fraction - one thing divided by another - that reveals whether a shop is working hard or barely getting by. Once you learn to read them, two shops that looked identical from the street start to look very different.

One: sales per square foot. A shop pays for every bit of its floor - the rent or the building, the lights, the staff to cover it. So the question is: how much selling does each patch of floor actually do? You find it by taking the shop's total yearly sales and dividing by its size in square feet. A shop that sells ₹40,000 of goods per square foot a year is squeezing hard work out of its space. A same-sized shop selling only ₹15,000 per square foot is paying for floor that mostly sits idle. Same rent, very different result. This number tells you how busy and productive the space is.

Two: how fast the stock sells - inventory days. Everything on the shelves is money that has not yet turned back into cash. Goods sitting on a shelf are called inventory, and money tied up in inventory is money you cannot use for anything else. "Inventory days" asks: on average, how many days does an item sit before it sells? If atta, soap, and biscuits fly off the shelf in 20 days, the shop's money is spinning quickly - buy, sell, collect cash, buy again. If the same goods sit for 90 days, the shop's money is stuck, sleeping on shelves. Fast-selling stock (low inventory days) is a sign of a shop people actually come to. Slow stock warns that the shop bought things nobody wants.

Three: profit per store. In the end, each shop should make money on its own. Profit per store is simply the money left over, for that one shop, after all its costs - goods, staff, rent or upkeep, electricity. A chain can have a hundred shops, but if each one barely breaks even, the chain is fragile. A chain where each shop makes a solid profit stands on firm legs. This number keeps you honest: it stops you from being fooled by a big total that hides many weak shops.

Read the three together and they tell one story. High sales per square foot says the space works hard. Fast stock turnover says the money is spinning, not sleeping. Solid profit per store says each shop truly stands on its own. When all three are strong, you are looking at a genuinely healthy shop - not a busy-looking one.

illustrative Both Sunrise Stores and Kavi Mart are exactly 5,000 square feet. From the street, both look busy. Now we read them.

Sunrise sells ₹20 crore of goods in a year. Divide by 5,000 square feet and that is ₹40,000 of sales per square foot - the floor is working hard. Its shelves hold about ₹1.1 crore of goods at any time, and it sells roughly ₹20 crore of goods a year, so its stock turns over about 18 times a year - each item sits only about 20 days before selling. After all costs, each Sunrise shop keeps a steady profit.

Kavi, the same size, sells ₹7.5 crore a year - only ₹15,000 per square foot. Its floor is half-asleep. Worse, its shelves are stuffed with about ₹1.25 crore of goods that turn over only about 6 times a year - each item sits around 60 days, money stuck on shelves growing dusty. Once Kavi pays its rising rent and its staff, barely any profit is left per shop.

Here is the lesson Priya takes from this. From outside, both shops looked fine. But Sunrise's space earns nearly three times as much, its money spins three times as fast, and each shop actually makes money. Kavi is not lazy on purpose - it may simply have chosen the wrong location, or bought goods its customers do not want. The numbers, not the crowd, showed which shop was truly healthy. And note: a single good number can lie. A shop can boost sales per square foot for a while by selling below cost. Only when all three numbers agree - busy space, fast stock, real profit - can you trust that the shop is sound.

A big total hides weak shops. A chain can announce huge total sales and still be sick, if that total is spread over many barely-earning shops. Always bring it back to one shop: sales per square foot, stock turnover, profit per store. A chain is only as strong as its typical single shop, not its grand total.

One number alone can be tricked. Sales per square foot can be pumped up by selling goods cheaply at a loss to draw a crowd. Stock can turn fast simply because the shelves are nearly empty. Profit can look fine for a year because of a one-time event. Each number can be fooled on its own; it is much harder to fool all three at once. Read them together, and be suspicious when one is glowing while the others are dull.

New shops drag the average - and that is normal. A shop that opened last month has not found its customers yet, so its numbers look weak. If a chain is opening many shops, its averages will be pulled down by these babies, even though they may grow up strong. So separate the young shops from the settled ones. Judging a brand-new shop by a mature shop's yardstick is unfair and misleading.

These three numbers travel well across India, but you must read them against local reality. Sales per square foot in a crowded metro, where rents and incomes are high, will naturally look very different from a small town, where both are low - a lower number in a small town is not automatically worse. What counts as "fast" stock turnover also depends on what a shop sells: fresh vegetables must turn over in days, while steel utensils can sit for months and still be fine. So never compare two shops on a number without asking whether they sell the same kind of goods in the same kind of place.

There is also a very Indian point about inventory. Our supply chains can be long and bumpy - goods travel far, roads are slow, festivals cause sudden rushes. A shop may hold a little extra stock on purpose, to avoid running empty during a festival, and that can raise its inventory days for a good reason. So read the numbers as questions, not verdicts. They tell you where to look harder - a slow shop, a sleepy floor, a thin profit - and then you ask why. The number opens the investigation; it does not close it.

• Bring every chain down to one shop. Read sales per square foot, stock turnover, and profit per store for a single typical shop - not just the big company-wide total.
• Check that the floor works hard. Divide a shop's yearly sales by its size. Low sales per square foot means space that is being paid for but barely used.
• Watch how fast stock sells. Fast-turning stock (low inventory days) means money spinning and goods people want; slow stock means cash sleeping on the shelves.
• Insist that each shop truly profits. A chain of shops that each barely break even is fragile, however big its total sales look.
• Read all three together, and split old from new. Trust a shop only when busy space, fast stock, and real profit all agree - and judge young shops on their own, not against mature ones.