Every store, balanced against every other store.
A chain is only as strong as its emptiest shelf. Mahadangal shows each store's stock and sales against the rest of the network, and moves inventory between stores before a customer walks out empty-handed.
Where stores lose money when they run in isolation.
Shelves empty in one store, full in another
Fast movers sell out at high-footfall stores while the same items sit untouched a few kilometres away.
Store performance judged in isolation
Without peer comparison, a store quietly underperforming its catchment looks fine on its own report.
Promotions applied unevenly
Price changes reach some counters late or not at all, and the discount leakage never shows up centrally.
Store-level balance, managed as one network.
The same rebalancing intelligence, tuned to how stores actually trade.
Store-to-store transfers, suggested daily
Surplus in one store is matched to shortage in another, with quantities sized to the destination's forecast.
Stores compared to their peers
Each store is benchmarked against stores of similar format and catchment, not the chain average.
Central pricing, local execution
Prices and promotions go live at every counter at once, with exceptions visible the same day.
Staffing that follows footfall
Rosters per store follow its own busy hours, with staff lent between nearby stores when needed.
A Saturday in a 30-store apparel chain
How a single rebalancing decision plays out from forecast to shelf.
Illustrative scenario.
- 01
Friday night, the forecast shows a size run on a new denim line selling out at three high-street stores by Sunday.
- 02
Two mall stores are holding 2.4x their expected weekend demand of the same sizes.
- 03
Mahadangal proposes three transfers, sized per store, arriving before Saturday opening.
- 04
The regional manager approves from her phone, and the mall stores dispatch with the morning van.
- 05
By Sunday evening, every store has sold through its weekend demand, and no size ran out.
Everything a store network runs on.
Multi-Location Inventory & Transfer
Live stock per branch, measured against the network, with AI-suggested inter-branch transfers.
Explore 02Centralized Finance & Accounting
One consolidated ledger across every location, with branch-level and chain-wide reporting in real time.
Explore 03Branch-Level Sales & POS
Fast point-of-sale at every counter, feeding the network view the moment a sale is made.
Explore 04HR & Payroll Across Locations
Rosters, attendance and payroll run the same way at every branch, managed from one place.
Explore 05AI Network Insights
Per-branch demand forecasts, cross-location anomaly detection and performance comparison.
ExploreBuilt for retail chains across categories.
Mahadangal handles mixed networks of stores and depots in one place.
Tell us how many locations you run. See your network.
Enter your number of branches, stores or depots. The network rebuilds at that scale with a typical mix of branch health, and the rebalancing a chain your size would usually see.
An illustrative view based on typical patterns - not a live read of your actual locations.