Aggregator settlement reconciled against Rista POS & food cost — exactly what each platform deducts (commission, fees, taxes) and your real contribution.
Platform
View
Of the orders placed in this window, how much has settled vs is still owed.
GMV (Orders Placed)--Order value placed this period
Effective Take-rate--All Swiggy deductions ÷ GMV
Commission--Swiggy commission ÷ GMV
Net Payout (to bank)--Settled orders, after all deductions
Yet to be Settled--Orders placed, not yet paid out
Most purchased items across all procurement documents
Recent Documents
Food-Cost Bridge
Monthly GRN purchases vs consumed COGS (P&L food-cost source) vs revenue — enterprise-wide
Wastage & Shrinkage
Value written off via shrinkage docs, by branch & reason
Stock-Count Variance
Audit book-vs-physical variance value, by branch (negative = shortfall)
Outlets
Revenue across physical locations — all brands combined per kitchen
Outlets--Named clusters + others
Total Revenue--All outlets combined
Top Outlet----
Avg Revenue / Outlet--Across named outlets
Outlet Growth Trajectory
Monthly stacked revenue by outlet with month-over-month growth line
Biggest MoM Jump
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Star Performer
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Momentum
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Outlet Revenue Ranking
All physical outlets sorted by total revenue
Brand Mix per Outlet
How each brand contributes to each outlet's revenue
Outlet Details
Click a row to see branch codes rolled up into that outlet
Store Locations
Active outlets & planned expansion across Hyderabad
ActivePlanned
Manage Locations
Demand Forecast
Seven days ahead by brand, then by restaurant — measured, not assumed
7-Day Units
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Accuracy · Brand
--wMAPE
At 7 Days Out
--wMAPE
The prep-cycle horizon
Series Forecast
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Brands
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Next 7 Days by Brand
Forecast per day · % is vs the same weekday last week · click a brand for its restaurants
Items
Next seven days, split by each item’s share of the last 28 days
Brand × Restaurant
Seven-day forecast per cell, with its 80% range — scaled so the parts sum to the brand
Placeholder
This becomes a raw-material forecast. Prep and procurement are decided in
ingredients — kg of chicken, count of rumali — not in menu items. Waiting on a
bill of materials linking items to ingredients; until then this shows the cell
forecast it will be built from.
Accuracy
Populates from tomorrow, as each forecast day is scored against what actually happened
Raw Material Pricing
What we pay, to whom, and how it has moved — from goods actually received
Pricing Agent
Checks every item against every vendor that supplied it, scored on shared delivery periods so a cheap month is never mistaken for a cheap vendor — and shows what it rejected
Biggest Price Moves
Ranked by what the move costs at today’s volume, not by percentage — a 90% jump on a small line matters less than a 12% jump on a large one
Same Item, Different Vendor
Only items bought from more than one supplier in this window. Gap is an upper bound on the opportunity, not a banked saving — capacity and quality are not in this table
Billed Above Agreed
GRN price over its own purchase order
Not Priced
Shown rather than silently dropped
Vendor
Its prices against what everyone else charged for the same item and unit
Cost of Goods Sold
What the food and packaging actually cost, from the recipe cost Rista stamps on every sold line — per menu item and per restaurant, against the equal window before
Cost Rate Over Time
Total COGS against ingredients only — the gap is packaging, which the P&L food-cost figure leaves out
By Restaurant
Cost rate on net revenue, so it reconciles with the P&L. Ranked by revenue; the change column is percentage points against the previous window
By Menu Item
Ranked by what the rate move cost this window in rupees, not by percentage — a big seller drifting two points outweighs a small one doubling
No Recipe Attached
Items selling with no recipe in Rista, so their cost reads as zero and no margin on this page can see them. Ranked by money at stake — this list is the fix
Discount Patterns
Where giveaway runs above its own norm, on which channel — and since when
By Platform
Each platform against its own prior period — never against another, because aggregator menu prices are marked up before the discount is applied
Likely Campaigns
The same item, on one channel, stepping up at several restaurants on the same day. Rista records the discount and not the promotion behind it — the campaign is inferred, never named, and who funded it is not knowable from this data
By Item
Each item against its own prior norm on the same channel, ranked by rupees of excess giveaway
By Restaurant & Channel
Never compared across channels — aggregator prices are marked up before the discount, so 23% there is not 23% off dine-in
Out of Stock
Live sold-out items, repeat offenders & the alerts going out to the branch groups
Biggest Money at Risk
Items out now, ranked by the revenue they normally earn per day
Cross-Branch Signal
Out here, still selling there — the transferable wins
Recurring & Chronic
Items that keep going out, or have been out for days
Out Right Now--
Branches Affected--
Avg Time Open--
Hours Lost--
Alerts Sent 24h--
Out Right Now
Longest outage first — red past 24h, amber past 8h
Repeat Offenders
Items that go out most often in this window
By Store
Follows the Group by dimension you pick elsewhere
New Outages per Day
Is it getting better or worse
Recent Alerts
What agent-jelly actually sent to the branch WhatsApp groups
Sales Report
Gross, net, discounts & orders by store and brand — honours the date & branch filters above
Store Groupings
Pick stores on the left, add them to a group — then filter or report by it
Stores
Select a grouping
Change History
Grouping edits
Active List
Which restaurants are still trading — this list governs every tab
Restaurants
Turn a restaurant off when it closes, and set the date it stopped trading
Change History
Who changed what
Reconciliation Settings
Every line text Swiggy and Zomato have actually sent, and which bucket each rupee lands in
Review queue
Unclassified first, sorted by rupees. A mapping edit moves money between rows — it can never change the total.
Drift
New texts, vanished texts, and probable renames paired on magnitude inside one document. Deterministic — no model.
Tie-out & disclosure
This page previews the new ledger; the P&L page still reads the old mart
