Store Master
Every store with its city, launch date, size, rent and status, and a change history for each record.
NiyamOne P&L replaces the monthly P&L workbook for multi-store retail and quick-commerce networks — one set of inputs and formulas produces every store's contribution, every city's EBITDA and the company figure, planned and actual side by side.
Guided walkthrough with your own stores and cost heads · No obligation
Built for networks with hundreds of stores across many cities, where the P&L used to live in a spreadsheet. Every figure traces back to an input or a rule.
Every store with its city, launch date, size, rent and status, and a change history for each record.
Orders per day, average order value and working days per store and month, with store costs, distribution costs and category margins beside them.
Every input is kept as planned and as actual, so variance shows on the entry screens and on every dashboard.
Download the Excel template, upload sales, store costs, manpower or utilities, see row-level errors before anything is saved, then commit in batches.
Cost heads such as manpower, utilities, maintenance and delivery are computed from rules — fixed, percent of revenue or rent, per order, per sqft, tiered, seasonal, or by city.
The most specific rule wins — store over city over state over default — with priorities, effective dates and a history of every rule change.
See what a computation will change before applying it, apply it across stores in one run, and revert the run if the result is wrong.
Revenue, gross margin and store contribution per store; city EBITDA after warehouse and logistics costs; company EBITDA after corporate overhead.
EBITDA margin as the north-star figure, KPI trends, a P&L waterfall, cost distribution, and the best and worst stores for the month, quarter or range.
A network map sized by revenue and coloured by EBITDA against target; click a city, then a store, to see the same view at that level.
Change the drivers to see a simulated P&L against actual, save named scenarios, and project revenue, EBITDA and cash burn from a store roll-out plan.
Data entry, dashboards and simulation are granted separately, only administrators change the figures, and every change is logged.
From the analyst entering the month's actuals to the founder reading the company EBITDA.
Inputs are entered once and every store, city and company figure is calculated the same way, so no two versions of the P&L disagree.
Computed costs come from visible rules with a history, so a number can be explained — and a wrong run can be reverted.
Leadership sees the network, then drills to the city and the store that moved it, planned against actual.
Book a walkthrough and we will load a month of your store inputs and cost rules and show the store, city and company P&L — planned against actual.
Tell us a little about your team and we will set up a walkthrough using your own workflows and data.