Three stores out of your best seller, one store full of it
A regional manager of a growing chain walks into three stores in a week and finds the same shelf empty: the product that sells best. A fourth outlet has a stack of it, nearing its expiry date. When they ask why, the answers are familiar. The warehouse never saw the order email. The store report reached head office three days late. Everyone did their job, and the chain still lost days of sales.
What it costs
Take a chain of ten stores, each selling a ₹2 crore-a-year product range, so ₹20 crore across the chain. Suppose stockouts of fast-moving items cost each store one day’s sales of that item every fortnight. If the item makes up a fifth of sales, a day of its sales per store is about ₹1,100 on an average ₹5,500 day. Across ten stores and 26 fortnights, that is roughly ₹2.9 lakh a year of direct lost sales.
The other side matters more. If each store holds ₹1 lakh of slow stock beyond what it sells in a month, and a tenth of it is written off or heavily discounted, that is ₹10,000 a store, or ₹1 lakh a year. These numbers are small and invented, but the principle holds: both errors come from the same cause, and they grow with the number of outlets.
There is a cost in people as well. Managers who reconcile reports and chase warehouse confirmations all week are not managing stores.
Why it happens
The three failures that matter in a growing chain are usually these:
- Stock figures differ between outlets and warehouse, because each updates its own record at a different time
- Orders are raised late, twice, or in conflicting versions, so suppliers act on the wrong one
- Reports reach head office after the moment to act has passed
None of these is caused by careless people. They are caused by information moving in separate channels at different speeds: email to the warehouse, calls to the vendor, a spreadsheet to head office.
What changes it
Start with decision rights. Decide who owns each reorder decision for each category: the store, the regional manager, or head office. Many chains find that fast-moving items should be reordered on a fixed rule from the warehouse, while slow or seasonal items stay with the store.
Then fix the record. One stock figure per product per location, updated at one agreed moment each day, is better than five figures updated whenever someone remembers. Define a transfer process, so excess in one store can move to another without a negotiation.
Then set a rhythm: a short daily exception list for each regional manager showing items below minimum or above maximum, and a weekly review of the stores that appear most often on it. Repeat offenders usually point to a wrong reorder level and not to a careless store.
Software helps by keeping the record current and producing the exception list without anyone compiling it. It cannot decide the reorder levels. Those still come from knowing your demand.
What this does not fix
Better coordination cannot correct a forecast that is wrong, a supplier that delivers late, or a product that has simply stopped selling. It also will not remove the need for physical stock checks: records drift from shelves through theft, damage and miscounting, and somebody has to count. The improvement is that disagreements between the record and the shelf become visible quickly instead of at the stock audit.
To test whether your own operation can carry more outlets, use the scale readiness assessment.